Publications

Books

Papers

2019

Longitudinal study of neonatal brain tissue volumes in preterm infants and their ability to predict neurodevelopmental outcome

L. Gui; S. Loukas; F. Lazeyras; P. S. Huppi; D. E. Meskaldji et al. 

Neuroimage. 2019-01-15. Vol. 185, p. 728-741. DOI : 10.1016/j.neuroimage.2018.06.034.

2018

Diffusion-weighted imaging evidence of altered white matter development from late childhood to early adulthood in Autism Spectrum Disorder

F. I. Karahanoglu; B. Baran; Quynh Trang Huong Nguyen; D-E. Meskaldji; A. Yendiki et al. 

Neuroimage-Clinical. 2018-01-01. Vol. 19, p. 840-847. DOI : 10.1016/j.nicl.2018.06.002.

The detection of two-component mixture alternatives

D. Rukina / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2018. DOI : 10.5075/epfl-thesis-9044.

Scanning the mitochondrial genome for mutations by cycling temperature capillary electrophoresis

C. Arstad; P. Refinetti; D. Warren; K. Giercksky; P. Ekstrom 

MITOCHONDRIAL DNA PART A. 2018. Vol. 29, num. 1, p. 19-30. DOI : 10.1080/24701394.2016.1233532.

An Integrated Systems Genetics and Omics Toolkit to Probe Gene Function

H. Li; X. Wang; D. Rukina; Q. Huang; T. Lin et al. 

Cell Systems. 2018. Vol. 6, num. 1, p. 90-102. DOI : 10.1016/j.cels.2017.10.016.

2017

Cell lineage tracing in human tissues using somatic mitochondrial mutations

P. Refinetti / S. Morgenthaler; P. O. Ekstrom (Dir.)  

Lausanne: EPFL, 2017. DOI : 10.5075/epfl-thesis-7643.

Testing parallaxes with local Cepheids and RR Lyrae stars

G. Clementini; L. Eyer; V. Ripepi; M. Marconi; T. Muraveva et al. 

Astronomy & Astrophysics. 2017. Vol. 605, p. A79. DOI : 10.1051/0004-6361/201629925.

Robust Portfolio Optimization

Z. W. Yap / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2017. DOI : 10.5075/epfl-thesis-7573.

Gaia Data Release 1 Open cluster astrometry: performance, limitations, and future prospects

F. Van Leeuwen; A. Vallenari; C. Jordi; L. Lindegren; U. Bastian et al. 

Astronomy & Astrophysics. 2017. Vol. 601, p. A19. DOI : 10.1051/0004-6361/201730552.

Maintenance of Voluntary Self-regulation Learned through Real-Time fMRI Neurofeedback

F. Robineau; D. E. Meskaldji; Y. Koush; S. W. Rieger; C. Mermoud et al. 

Frontiers In Human Neuroscience. 2017. Vol. 11, p. 131. DOI : 10.3389/fnhum.2017.00131.

Mapping mitochondrial heteroplasmy in a Leydig tumor by laser capture microdissection and cycling temperature capillary electrophoresis

P. Refinetti; C. Arstad; W. G. Thilly; S. Morgenthaler; P. O. Ekstrom 

Bmc Clinical Pathology. 2017. Vol. 17, p. 6. DOI : 10.1186/s12907-017-0042-3.

2016

The Gaia mission

T. Prusti; J. H. J. De Bruijne; A. G. A. Brown; A. Vallenari; C. Babusiaux et al. 

Astronomy & Astrophysics. 2016. Vol. 595, p. A1. DOI : 10.1051/0004-6361/201629272.

Gaia Data Release 1 Summary of the astrometric, photometric, and survey properties

A. G. A. Brown; A. Vallenari; T. Prusti; J. H. J. De Bruijne; F. Mignard et al. 

Astronomy & Astrophysics. 2016. Vol. 595, p. A2. DOI : 10.1051/0004-6361/201629512.

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression

D-E. Meskaldji; M. G. Preti; T. Bolton; M-L. Montandon; C. Rodriguez et al. 

2016. IEEE 13th International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, p. 1311-1314. DOI : 10.1109/ISBI.2016.7493508.

Prediction of long-term memory scores in MCI based on resting-state fMRI

D-E. Meskaldji; M. G. Preti; T. A. Bolton; M-L. Montandon; C. Rodriguez et al. 

NeuroImage: Clinical. 2016. Vol. 12, p. 785-795. DOI : 10.1016/j.nicl.2016.10.004.

Indicators of Evidence for Bioequivalence

S. Morgenthaler; R. Staudte 

Entropy. 2016. Vol. 18, num. 8, p. 291. DOI : 10.3390/e18080291.

Cycling temperature capillary electrophoresis: A quantitative, fast and inexpensive method to detect mutations in mixed populations of human mitochondrial DNA

P. Refinetti; S. Morgenthaler; P. O. Ekstrom 

Mitochondrion. 2016. Vol. 29, p. 65-74. DOI : 10.1016/j.mito.2016.04.006.

Inference for binomial probability based on dependent Bernoulli random variables with applications to meta-analysis and group level studies

I. Bakbergenuly; E. Kulinskaya; S. Morgenthaler 

Biometrical Journal. 2016. Vol. 58, num. 4, p. 896-914. DOI : 10.1002/bimj.201500115.

2015

Statistical methods for comparing brain connectomes at different scales

D-E. Meskaldji; S. Morgenthaler; D. Van De Ville 

2015. Conference on Wavelets and Sparsity XVI. p. 95971L. DOI : 10.1117/12.2189847.

The control of the scaled false discovery rate, a flexible and comprehensive error control and a powerful theoretical tool in multiple testing

D. E. Meskaldji; D. Van De Ville; S. Morgenthaler 

2015. The 9th International Conference on Multiple Comparison Procedures, Hyderabad, India, September 2-5, 2015.

Stochastic optimization of sailing trajectories in an upwind regatta

R. C. Dalang; F. Dumas; S. Sardy; S. Morgenthaler; J. Vila 

Journal Of The Operational Research Society. 2015. Vol. 66, num. 5, p. 807-821. DOI : 10.1057/jors.2014.40.

Statistical methods for comparing brain connectomes at different scales

D. E. Meskaldji; D. Van De Ville; S. Morgenthaler 

2015. Wavelets and sparsity XVI, Special session on sparse analysis and graph models in neuroimaging, San Diego, California, 9-13 August, 2015.

New measure to capture dynamic features of brain functional connectivity

D. E. Meskaldji; S. Morgenthaler; D. Van De Ville 

2015. The 21st Annual Meeting of the Organization for Human Brain Mapping, Honolulu, Hawaii, June 14-18, 2015.

New Measures of Brain Functional Connectivity by Temporal Analysis of Extreme Events

D. E. Meskaldji; S. Morgenthaler; D. Van De Ville 

2015. IEEE International Symposium on Biomedical Imaging, Brooklyn, NY, USA, April 16-19, 2015.

Improved statistical evaluation of group differences in connectomes by screening-filtering strategy with application to study maturation of brain connections between childhood and adolescence

D. E. Meskaldji; L. Vasung; D. P. R. Romascano; J-P. Thiran; P. Hagmann et al. 

Neuroimage. 2015. Vol. 108, p. 251-264. DOI : 10.1016/j.neuroimage.2014.11.059.

2014

Mapping cell lineage growth in human tumors using somatic mitochondrial mutations

P. Refinetti; S. Morgenthaler; W. G. Thilly; P. O. Ekstrom 

2014.  p. S17-S17.

Comparing multiple testing procedures and error rates under weighted classification

D. E. Meskaldji; D. Van De Ville; S. Morgenthaler 

27th International Biometric Conference, Florence, Italy, July 6-11, 2004.

Sliced inverse regression for survival data

M. Shevlyakova; S. Morgenthaler 

Statistical Papers. 2014. Vol. 55, num. 1, p. 209-220. DOI : 10.1007/s00362-013-0552-8.

Combining Statistical Evidence

E. Kulinskaya; S. Morgenthaler; R. G. Staudte 

International Statistical Review. 2014. Vol. 82, num. 2, p. 214-242. DOI : 10.1111/insr.12037.

2013

Comparing connectomes across subjects and populations at different scales

D. E. Meskaldji; E. Fischi-Gomez; A. Griffa; P. Hagmann; S. Morgenthaler et al. 

NeuroImage. 2013-04-28. Vol. 80, p. 416-425. DOI : 10.1016/j.neuroimage.2013.04.084.

Mutator/hypermutable fetal/juvenile metakaryotic stem cells and human colorectal carcinogenesis

G. K. Lohith; P. Herrero-Jimenez; T. Kamath; J. Sanghvi; E. Gutierrez et al. 

Frontiers in Oncology. 2013. Vol. 3, p. 267. DOI : 10.3389/fonc.2013.00267.

Multiple Comparison Procedures for Large Correlated Data with Application to Brain Connectivity Analysis

D. E. Meskaldji / J-P. Thiran; S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2013. DOI : 10.5075/epfl-thesis-5853.

Evidence for Alternative Hypotheses

S. Morgenthaler; R. G. Staudte 

Robustness and Complex Data Structures: Festschrift for Ursula Gather; Berlin: Springer, 2013. p. 315-329.

Two step multiple comparisons procedures for positively dependent data with application to detecting differences in human brain network topologies

D. E. Meskaldji; P. Hagmann; J-P. Thiran; S. Morgenthaler 

2013

Optimality in multiple comparison procedures

D. E. Meskaldji; J-P. Thiran; S. Morgenthaler 

2013

Sliced Inverse Regression for Lifetimes and a Remark on High-Dimensional Graphical Models

M. Shevlyakova / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2013. DOI : 10.5075/epfl-thesis-5816.

A Study of Cross-Validation with Genetic Data

L. de Torrenté / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2013. DOI : 10.5075/epfl-thesis-5811.

Scaled False Discovery Proportion and Related Error Metrics

D. E. Meskaldji; J-P. Thiran; S. Morgenthaler 

8th International Conference on Multiple Comparison Procedures, University of Southampton, UK, July 8 - 11, 2013..

2012

Robust parameter estimation for the Ornstein-Uhlenbeck process

S. Rieder 

Statistical Methods And Applications. 2012. Vol. 21, num. 4, p. 411-436. DOI : 10.1007/s10260-012-0195-2.

Méta-Analyse - Intervalles de confiance découlant du modèle à effets aléatoires

Y. Bel Hammar 

2012.

Using Research Indicators to Analyse the Organisation of Research at Ecole polytechnique fédérale de Lausanne (EPFL)

N. D. Lade 

2012.

Sizing Studies for Detecting Graphical Models

S. Morgenthaler; M. Shevlyakova 

2012

Advantages of Variance Stabilization

S. Morgenthaler; R. Staudte 

Scandinavian Journal of Statistics. 2012. Vol. 39, num. 4, p. 714-728. DOI : 10.1111/j.1467-9469.2011.00768.x.

Some Thoughts on Robustness and Multiple Testing

S. Morgenthaler; D. E. Meskaldji 

International Conference on Robust Statistics, Burlington, Vermont, USA, August 5-10, 2012.

OPTIMAL MULTIPLE TESTS

S. Morgenthaler; D. E. Meskaldji 

26th International Biometric Conference, Kobe, Japan, August 26-31, 2012.

A Quasi-Likelihood Approach to Zero-Inflated Spatial Count Data

A. Monod / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2012. DOI : 10.5075/epfl-thesis-5442.

Robust Parameter Estimation for the Ornstein-Uhlenbeck Process

S. Rieder / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2012. DOI : 10.5075/epfl-thesis-5388.

La détection de périodicités cachées

J-M. Nicoletti / S. Morgenthaler; L. Eyer (Dir.)  

Lausanne: EPFL, 2012. DOI : 10.5075/epfl-thesis-5296.

2011

Neural Networks to Extract Metabolic Features from High-Density Metabonomic Datasets

M. Stuber 

2011.

Mining, ranking and reporting web usage patterns

M. Speiser 

2011.

Combining the evidence using stable weights

E. Kulinskaya; S. Morgenthaler; R. Staudte 

Research Synthesis Methods. 2011. Vol. 1, num. 3-4, p. 284-296. DOI : 10.1002/jrsm.20.

Robustness

S. Morgenthaler 

Wiley Interdisciplinary Reviews: Computational Statistics. 2011. Vol. 3, num. 2, p. 85-94. DOI : 10.1002/wics.144.

A comprehensive error rate for multiple testing

D. E. Meskaldji; J-P. Thiran; S. Morgenthaler 

Arxiv preprint. 2011. 

Robust binary regression

S. Hosseinian; S. Morgenthaler 

Journal Of Statistical Planning And Inference. 2011. Vol. 141, p. 1497-1509. DOI : 10.1016/j.jspi.2010.11.015.

Compromise Pitman estimators

N. Fournier 

Journal Of Statistical Planning And Inference. 2011. Vol. 141, p. 2656-2669. DOI : 10.1016/j.jspi.2011.02.018.

Adaptive Strategy for the Statistical Analysis of Connectomes

D. E. Meskaldji; M-C. Ottet; L. Cammoun; P. Hagmann; R. Meuli et al. 

Plos One. 2011. Vol. 6, num. 8, p. e23009. DOI : 10.1371/journal.pone.0023009.

Stratégies de compromis pour l'estimation des paramètres de régression et pour la classification floue

N. Fournier / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2011. DOI : 10.5075/epfl-thesis-5043.

2010

Carcinogenèse à deux étapes avec phase d’initiation limitée dans le temps

Y. Paquier 

2010.

Variance Stabilizing the Difference of Two Binomial Proportions

E. Kulinskaya; S. Morgenthaler; R. G. Staudte 

American Statistician. 2010. Vol. 64, p. 350-356. DOI : 10.1198/tast.2010.09080.

Robust Multivariate and Nonlinear Time Series Models

R. Ramakrishnan / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2010. DOI : 10.5075/epfl-thesis-4688.

2009

Exploration de données à la recherche de sous-groupes optimaux

C. Ruegg 

2009.

Demand forecast for pharmaceutical company

D. Messina 

2009.

Deux problèmes de données dépendantes

D. E. Meskaldji 

2009.

Lévy processes and financial applications

P. Meier 

2009.

Exploratory data analysis

S. Morgenthaler 

Wiley Interdisciplinary Reviews: Computational Statistics. 2009. Vol. 1, num. 1, p. 33-44. DOI : 10.1002/wics.2.

The Choice of Polar Stationary Phases for Gas-Liquid Chromatography by Statistical Analysis of Retention Data

E. S. Kovats; S. Morgenthaler 

Chromatographia. 2009. Vol. 70, p. 831-837. DOI : 10.1365/s10337-009-1242-5.

Robust inference for generalized linear models

S. Hosseinian / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2009. DOI : 10.5075/epfl-thesis-4386.

2008

Redescending M-estimators

G. Shevlyakov; S. Morgenthaler; A. Shurygin 

Journal Of Statistical Planning And Inference. 2008. Vol. 138, p. 2906-2917. DOI : 10.1016/j.jspi.2007.11.008.

Fetal-juvenile origins of point mutations in the adult human tracheal-bronchial epithelium: Absence of detectable effects of age, gender or smoking status

H. Sudo; X-C. Li-Sucholeiki; L. A. Marcelino; A. N. Gruhl; P. Herrero-Jimenez et al. 

Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 2008. Vol. 646, p. 25-40. DOI : 10.1016/j.mrfmmm.2008.08.016.

Heterogeneity in multistage carcinogenesis and mixture modeling

S. Gsteiger; S. Morgenthaler 

Theoretical Biology And Medical Modelling. 2008. Vol. 5, p. 13. DOI : 10.1186/1742-4682-5-13.

Les mathématiques financières robustes, le maritime et les FFA

J. Reboulleau / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2008. DOI : 10.5075/epfl-thesis-4216.

2007

Euler on Statistics

S. Morgenthaler; P. R. Parthasarathy 

Journal of Statistical Theory and Practice. 2007. Vol. 1, p. 479-487.

A strategy to discover genes that carry multi-allelic or mono-allelic risk for common diseases: A cohort allelic sums test (CAST)

S. Morgenthaler; W. G. Thilly 

Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 2007. Vol. 615, num. 1-2, p. 28-56. DOI : 10.1016/j.mrfmmm.2006.09.003.

A survey of robust statistics

S. Morgenthaler 

Statistical Methods and Applications. 2007. Vol. 15, num. 3, p. 271-293. DOI : 10.1007/s10260-006-0034-4.

A survey of robust statistics (vol 15, pg 271, 2007)

S. Morgenthaler 

Statistical Methods And Applications. 2007. Vol. 16, p. 171-172. DOI : 10.1007/s10260-007-0057-5.

Prédiction spatiale en présence d'erreurs substitutives et modélisation par drap stable

B. Fournier / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2007. DOI : 10.5075/epfl-thesis-3758.

Approximation des moments par l'utilisation de la théorie des fonctions analytiques

K. Ohmiti / S. Morgenthaler; A. Marazzi (Dir.)  

Lausanne: EPFL, 2007. DOI : 10.5075/epfl-thesis-3640.

2006

Comments on « Sur une limitation très générale de la dispersion de la médiane » by Maurice Fréchet

S. Morgenthaler 

Journal de la Société Française de Statistique. 2006. Vol. 147, num. 2, p. 65-66.

High Dimensional Integration for Robustness

C. Field; S. Morgenthaler; J. W. Tukey 

Metron - International Journal of Statistics. 2006. Vol. 64, p. 1-17.

Détection des aberrations chromosomiques basée sur les profiles d'expression des gènes et les données aCGH

M. Faouzi / S. Morgenthaler; M. Delorenzi (Dir.)  

Lausanne: EPFL, 2006. DOI : 10.5075/epfl-thesis-3678.

Heterogeneity in multistage carcinogenesis and mixture modeling

S. Gsteiger / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2006. DOI : 10.5075/epfl-thesis-3611.

2005

Conditionally least-informative distributions: The case of the location parameter

L. T. Fernholz; S. Morgenthaler 

Journal of Statistical Planning and Inference. 2005. Vol. 135, num. 2, p. 357-370. DOI : 10.1016/j.jspi.2004.05.016.

Conditionally optimal weights of evidence

S. Morgenthaler; R. G. Staudte 

Acta Mathematicae Applicatae Sinica. 2005. Vol. 21, num. 2, p. 247-256. DOI : 10.1007/s10255-005-0233-z.

2004

Algorithms for Robust Model Selection in Linear Regression

S. Morgenthaler; R. Welsch; A. Zenide 

Theory and Applications of Recent Robust Methods; Basel: Birkhäuser, 2004.

An outlier nomination method based on the multihalver

L. T. Fernholz; S. Morgenthaler; J. W. Tukey 

Journal of Statistical Planning and Inference. 2004. Vol. 122, num. 1-2, p. 125-139. DOI : 10.1016/j.jspi.2003.06.008.

Multistage carcinogenesis and the fraction at risk

S. Morgenthaler; P. Herrero; W. G. Thilly 

Journal of mathematical biology. 2004. Vol. 49, num. 5, p. 455-67. DOI : 10.1007/s00285-004-0271-9.

Unbiased parameter estimation of the Neyman-Scott model for rainfall simulation with related confidence interval

A. C. Favre; A. Musy; S. Morgenthaler 

Journal of Hydrology. 2004. Vol. 286, num. 1-4, p. 168-178. DOI : 10.1016/j.jhydrol.2003.09.025.

General state-space models

T. Gsponer / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2004. DOI : 10.5075/epfl-thesis-3038.

Un modèle factoriel dynamique pour séries temporelles

A. Zenide / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2004. DOI : 10.5075/epfl-thesis-3012.

2003

Correlations of f10.7-cm flux and temperature with male traffic-accident mortality for the years 1980-1999

A. Otsu; M. Chinami; S. Morgenthaler; T. Shirakawa 

Perceptual and motor skills. 2003. Vol. 96, num. 3 Pt 1, p. 1013-4.

John W. Tukey as Teacher

S. Morgenthaler 

Statistical Science. 2003. Vol. 18, num. 3, p. 342-345. DOI : 10.1214/ss/1076102423.

A Conversation with John W. Tukey

L. T. Fernholz; S. Morgenthaler 

Statistical Science. 2003. Vol. 18, num. 3, p. 346-356. DOI : 10.1214/ss/1076102424.

Proceedings EYSM'03, September 21-26, 2003, Ovronnaz, Switzerland

E. M. Restle; R. Furrer; T. Gsponer; B. Fournier 

2003. 

Dynamic Factor Analysis

A. Zenide 

2003

General State-Space Models for Evapotranspiration in Long-term Vegetation Succession Models

T. Gsponer 

2003.  p. 51-52.

2002

Use of constant denaturant capillary electrophoresis of pooled blood samples to identify single-nucleotide polymorphisms in the genes (Scnn1a and Scnn1b) encoding the alpha and beta subunits of the epithelial sodium channel

M-Z. Xue; O. Bonny; S. Morgenthaler; M. Bochud; V. Mooser et al. 

Clinical chemistry. 2002. Vol. 48, num. 5, p. 718-28.

Optimal Weights of Evidence with Bounded Influence

S. Morgenthaler; R. Staudte 

Developments in Robust Statistics; Vienna: Physica Verlag, 2002. p. 259-265.

Robustness and Heavy-Tailed Distributions

S. Morgenthaler 

Estadistica. 2002. Vol. 54, p. 73-90.

Optimal weights of evidence with bounded influence

S. Morgenthaler; R. Staudte 

Metrika. 2002. Vol. 55, num. 1-2, p. 91-97. DOI : 10.1007/s001840200189.

Two-site modeling of rainfall based on the Neyman-Scott process

A. Favre; A. Musy; S. Morgenthaler 

Water Resources Research. 2002. Vol. 38, num. 12, p. 431-437. DOI : 10.1029/2002WR001343.

Robust weighted likelihood estimators with an application to bivariate extreme value problems

D. J. Dupuis; S. Morgenthaler 

Canadian Journal of Statistics. 2002. Vol. 30, num. 1, p. 17-36. DOI : 10.2307/3315863.

Comparison of the mutagenic responses of mismatch repair-proficient (TK6) and mismatch repair-deficient (MT1) human lymphoblast cells to the food-borne carcinogen PhIP

P. M. Leong-Morgenthaler; R. Duc; S. Morgenthaler 

Environmental and molecular mutagenesis. 2002. Vol. 38, num. 4, p. 323-8. DOI : 10.1002/em.10031.

On a Mathematical Model of Some Parasite Infections

S. Gsteiger 

2002.

Robust Prediction for Spatial Processes

B. Fournier 

2002.

Two-Way Plots Based On Mixed Traces

T. Gsponer 

2002.  p. 79-91.

Le Filtre de Kalman Robuste

T. Gsponer 

2002.  p. 236.

Robust Kalman Filtering

T. Gsponer 

2002.  p. 208.

The Scrambled Net Filter

T. Gsponer 

2002

The Scrambled Net Filter

T. Gsponer 

2002. 

Nonparametric quantile estimation for dependent data

D. Florea Draghicescu / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2002. DOI : 10.5075/epfl-thesis-2592.

Aspects of modern geostatistics

R. Furrer / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2002. DOI : 10.5075/epfl-thesis-2562.

2001

Combined therapy with saquinavir, ritonavir and stavudine in moderately to severely immunosuppressed HIV-infected protease inhibitor-naive patients

M. Battegay; P. L. Vernazza; E. Bernasconi; M. Flepp; P. Sendi et al. 

HIV medicine. 2001. Vol. 2, num. 1, p. 35-42.

Two-way plots. I. The case of straight line segments

S. Morgenthaler; J. W. Tukey 

Journal of Statistical Computation and Simulation. 2001. Vol. 71, p. 287-312.

Two-Way Plots Based on Mixed Traces

T. Gsponer 

2001. 

Smoothing Spline Distribution Function Estimation: Validation and Application

E. M. Restle 

2001. 

Smoothing Spline Distribution Function Estimation: Theory

E. M. Restle 

2001. 

Multipolishing and two-way plots

S. Morgenthaler; J. W. Tukey 

Metrika. 2001. Vol. 53, num. 3, p. 245-267. DOI : 10.1007/s001840000108.

Orthogonal Array Based Latin Hypercube Integration

T. Gsponer 

2001

Modélisation des avalanche par des processus ponctuels

T. Gsponer; B. Fournier 

2001

Estimating cumulative distributions by spline smoothing

E. M. Restle / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2001. DOI : 10.5075/epfl-thesis-2455.

2000

A Conversation with John W. Tukey and Elizabeth Tukey

L. T. Fernholz; S. Morgenthaler 

Statistical Science. 2000. Vol. 15, num. 1, p. 79-94. DOI : 10.1214/ss/1009212675.

Diagrammes à deux voies utilisant des traces hyperboliques

T. Gsponer 

2000.

Fitting quantiles: doubling, $HR$, $HQ$, and $HHH$ distributions

S. Morgenthaler; J. W. Tukey 

Journal of Computational and Graphical Statistics. 2000. Vol. 9, p. 180-195.

General State Space Models

T. Gsponer 

2000

Smoothing Splines for the Estimation of Distributions

E. M. Restle 

2000. 

Monotonicity Constraints in the Estimation of Distributions with Smoothing Splines

E. M. Restle 

2000

Résumé of: 'On the Decomposition of Spatial Processes'

R. Furrer 

2000

M-Estimation for Dependent Random Variables

R. Furrer 

2000

Confidence voting

E. Martin 

2000. 

On the Implementation of the Decomposition of Spatial Processes in Matlab

R. Furrer 

2000. 

Covariance Estimation under Spatial Dependence

R. Furrer 

2000.  p. 137-140.

Configural Polysampling

S. Morgenthaler 

2000. 

Single and multi-site modelling of rainfall based on the Neyman-Scott process

A-C. Favre / A. Musy; S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2000. DOI : 10.5075/epfl-thesis-2320.

Estimation par intervalles au moyen du jackknife et de méthodes asymptotiques

E. Martin / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 2000. DOI : 10.5075/epfl-thesis-2237.

1999

Le Jackknife en Classification

E. Martin 

1999

Robust Spatial Data Analysis of Lake Geneva Sediments with S+SpatialStats

R. Furrer; M. Genton 

Systems Research and Information Science. 1999. Vol. 8, p. 257-272.

Investigations of the temporal and spatial properties of rainfall series: some insights into rainfall modelling

A-C. Favre; O. Overney 

1999. 

Estimating Distribution Functions with Smoothing Splines

E. M. Restle 

1999. 

The Jackknife in Classification

E. Martin 

1999. 

Expansions, Normalizing Transformations, and Jackknifing Applied to Confidence Intervals

E. Martin 

1999

Robust Analysis of a Response Surface Design

S. Morgenthaler; M. Schuhmacher 

Chemometrics and Intelligent Laboratory Systems. 1999. Vol. 47, num. 1, p. 127-141. DOI : 10.1016/S0169-7439(98)00199-3.

On the Decomposition of Spatial Processes

R. Furrer 

1999

Dependence Structure of Uniform Spacings

E. M. Restle 

1999

Estimating Distribution Functions with Smoothing Splines

E. M. Restle 

1999

Density estimation with wavelets

O. Renaud / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 1999. DOI : 10.5075/epfl-thesis-2019.

1998

Robustness of Conditional Inferences

S. Morgenthaler; L. T. Fernholz 

1998. Prague Stochastics '98, Prague, 1998. p. 425-430.

Correcting Jackknife Confidence Intervals

E. Martin 

1998

Analysis of Rainfall Data by Robust Spatial Statistics using S+SpatialStats

R. Furrer; M. Genton 

Journal of Geographic Information and Decision Analysis. 1998. Vol. 2, p. 126-136.

Analysis of Rainfall Data by Simple Good Sense: is Spatial Statistics Worth the Trouble ?

R. Furrer; M. Genton 

Journal of Geographic Information and Decision Analysis. 1998. Vol. 2, p. 11-17.

Mutation, cell kinetics, and subpopulations at risk for colon cancer in the United States

P. Herrero-Jimenez; G. Thilly; P. Southam; A. Tomita-Mitchell; S. Morgenthaler et al. 

1998.  p. 553-578. DOI : 10.1016/S0027-5107(98)00067-0.

Principal Component Analysis of Lake Geneva Sediments

R. Furrer 

1998.  p. 421-426.

Correcting Jackknife Confidence Intervals

E. Martin 

1998. 

Robustness of Conditional Inferences

S. Morgenthaler; L. T. Fernholz 

1998.  p. 425-430.

Considérations sur l'estimation de la matrice de variance-covariance

R. Furrer 

1998

Mutability of DNA base pairs: A statistical approach based on linear discrimination

S. Morgenthaler; P. M. Leong 

The Canadian Journal of Statistics. 1998. Vol. 26, p. 445-454.

1997

Association of extracolonic manifestations of familial adenomatous polyposis with acetylation phenotype in a large FAP kindred

R. J. Scott; W. Taeschner; K. Heinimann; H. Müller; Z. Dobbie et al. 

European journal of human genetics : EJHG. 1997. Vol. 5, num. 1, p. 43-9.

The Practice of Data Analysis: Essays in Honor of John W. Tukey

 

Princeton, New Jersey: Princeton University Press, 1997.

Gaussianizing Transformations and Estimation

S. Morgenthaler 

The Practice of Data Analysis: Essays in Honor of John W. Tukey; Princeton, New Jersey: Princeton University Press, 1997.

Configural Polysampling

S. Morgenthaler 

1997.  p. 155-159.

Robust Conditional Inference

S. Morgenthaler 

1997.  p. 81-87.

Descriptive and Mechanistic Modelling of Cancer Mortality

E. Martin 

1997

Von Mises Expansions Applied to the Jackknife

E. Martin 

1997

t modifié par le moyen de développements de von Mises

E. Martin 

1997

Introduction à la statistique. Méthodes Mathématiques pour l'Ingénieur

S. Morgenthaler 

Lausanne: Presses Polytechniques et Universitaires Romandes, 1997.

Composite transformation models: a fiducial perspective. Robust statistics and data analysis, I

S. Morgenthaler; A. Nicolaou 

Journal of Statistical Planning and Inference. 1997. Vol. 57, num. 1, p. 49-57. DOI : 10.1016/S0378-3758(96)00035-3.

Properties of $L\sp 1$ residuals

S. Morgenthaler 

1997.  p. 79-90.

A close look at the hat matrix

S. Morgenthaler; A. Clerc Bérod 

Student. 1997. Vol. 2, p. 1-12.

Conference on Statistical Science Honouring the Bicentennial of Stefano Franscini's Birth

S. Morgenthaler; E. Ronchetti; C. Malaguerra 

Basel: Birkhäuser Verlag, 1997.

Gaussianizing Transformations and Estimation

S. Morgenthaler 

1997.  p. 247-259.

Test de l'homogénéité des dispersions de K échantillons

E. Chavez / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 1997. DOI : 10.5075/epfl-thesis-1625.

1996

L'inférence conditionnelle en statistique multivariée

E. Chavez 

1996

Sélection de modèle avec faible variabilité: régression polynomiale et régression multiple

X. de Luna 

1996

Distributions structurelles et inférence conditionnelle

E. Chavez 

1996

Tests robustes d'homogénéit des dispersions, approche structurelle et conditionnelle

E. Chavez 

1996

Highly Robust Variogram Estimation

M. Genton 

1996

Comment tester de manière bioptimale l'homogénéité des dispersions de k echantillons

E. Chavez 

1996

Spatial Breakdown Point of Variogram Estimators

M. Genton 

1996

Variogram Fitting by Generalized Least Squares Using an Explicit Formula for the Covariance Structure

M. Genton 

1996

Using Polynomials to Forecast Univariate Time Series

X. de Luna 

1996. 

Variogram fitting by generalized least squares using an explicit formula for the covariance structure

M. Genton 

1996. 

Wavelet Density Estimators in Discriminant Analysis

O. Renaud 

1996. 

A study of cancer mortality in the USA

E. Martin 

1996. 

On the density of the maximum of smooth Gaussian processes

C. Posse; J. Diebolt 

The Annals of Probability. 1996. Vol. 24, num. 3, p. 1104-1129. DOI : 10.1214/aop/1065725176.

Inference for the direction of the larger of two eigenvectors: the case of circular elongation

S. Morgenthaler; J. W. Tukey 

1996.  p. 321-352.

Robustesse dans l'estimation et l'ajustement du variogramme en géostatistique

M. G. Genton / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 1996. DOI : 10.5075/epfl-thesis-1595.

Une approche non-paramétrique et parcimonieuse de la prévision de séries temporelles

X. De Luna / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 1996. DOI : 10.5075/epfl-thesis-1503.

1995

Comprendre visuellement l'inférence conditionnelle

E. Chavez 

1995

Robustness in Variogram Estimation

M. Genton 

1995. 

Le point de rupture spatial d'un estimateur du variogramme en géostatistique

M. Genton 

1995

The change-of-variance function of M-estimators of scale under general contamination

M. Genton; P. Rousseeuw 

Journal of Computational and Applied Mathematics. 1995. Vol. 64, num. 1-2, p. 69-80. DOI : 10.1016/0377-0427(95)00007-0.

Random Walk and Gap Plots of DNA Sequences

S. Morgenthaler; P. M. Leong 

Computational Applications in Biosciences. 1995. Vol. 11, p. 503-507. DOI : 10.1093/bioinformatics/11.5.503.

Non-linear prediction: a parsimonious family of predictors

X. de Luna 

1995. 

Bootstrap Estimation and Model Discrimination in Software Reliability Modeling

V. Madan 

1995

Tools for Two-dimensional Exploratory Projection Pursuit

C. Posse 

Journal of Computational and Graphical Statistics. 1995. Vol. 4, p. 83-100.

Projection pursuit exploratory data analysis

C. Posse 

Computational Statistics & Data Analysis. 1995. Vol. 20, num. 6, p. 669-687. DOI : 10.1016/0167-9473(95)00002-8.

1994

Identification avec faible variabilite d'un predicteur liniaire

X. de Luna 

1994

Conditional behavior of confidence intervals

A. Clerc Bérod 

Scandinavian Journal of Statistics. Theory and Applications. 1994. Vol. 21, p. 159-167.

Inference conditionnelle pour les valeurs propres d'une matrice de covariance

E. Chavez 

1994

An Improvement of Akaike's FPE Criterion to Reduce its Variability

X. de Luna 

1994

Influence and Change-of-Variance Functions of M-Quantiles

M. Genton 

1994

Small Sample Efficiency and Exact Fit for Cauchy Regression Models

S. Morgenthaler 

Statistics Probability Letters. 1994. Vol. 19, p. 381-385.

Plots of DNA data

S. Morgenthaler; P. M. Leong 

1994.  p. 11-20.

1993

Robust Tests for Linear Models

S. Morgenthaler 

1993. Third Pacific Area Statistical Conference, Tokyo, Japan, 1993. p. 97-107.

Projection Pursuit Exploratory Data Analysis

C. Posse 

1993

Plots of DNA Data

S. Morgenthaler 

1993. 

Prévision linéaire et intervalle de confiance conditionnel

X. de Luna 

1993. 

Conditional inference for the dominant characteristic root of a covariance matrix

E. Chavez 

1993. 

Mixed Numerical/Monte-Carlo Integration

M. Genton 

1993. 

Pérvision linéaire et intervalle de confiance conditionnel

X. de Luna 

1993

Régions de confiance pour valeurs et vecteurs propres par inférence conditionnelle

E. Chavez 

1993

Linear Autoregression for Prediction: Small Sample Inference

X. de Luna 

1993

About the Change-of-Variance Function of M-Estimators of Scale

M. Genton 

1993

New directions in statistical data analysis and robustness. Proceedings of the Workshop on Data Analysis and Robustness held in Ascona, 1992

S. Morgenthaler; E. Ronchetti; W. Stahel 

1993. 

On a simple bias bound for response surface estimators

S. Morgenthaler 

Sankhy\=a (Statistics). The Indian Journal of Statistics. Series B. 1993. Vol. 55, p. 239-248.

Robust tests for linear models

S. Morgenthaler 

1993.  p. 97-107.

Analyse exploratoire de données et discrimination à l'aide de projection Pursuit

C. Posse / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 1993. DOI : 10.5075/epfl-thesis-1124.

Inférence conditionnelle et robuste pour un paramètre de régression

A. Clerc-Berod / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 1993. DOI : 10.5075/epfl-thesis-1123.

1992

Comparaison des réseaux de neurones et de la méthode Box-Jenkins dans le cadre de la prévision

X. de Luna 

1992

Application de la méthode JACKKNIFE a l'analyse en composantes pricipales

E. Chavez 

1992

Conditional Behavior of Confidence Intervals

A. Clerc Bérod 

1992

A bootstrap adaptive test for two-way analysis of variance

M. Donegani 

Biometrical Journal. 1992. Vol. 34, p. 141-146.

Simulated deficiencies of robust estimators of a proportionality constant

A. Clerc Bérod 

Communications in Statistics. Simulation and Computation. 1992. Vol. 21, p. 753-767.

Estimation of the variance of an adaptive estimator by bootstrapping

M. Donegani; M. Unternaehrer 

Communications in Statistics. Theory and Methods. 1992. Vol. 20, p. 1992.

Best Linear Discrimination via Projection Pursuit (The General Case)

C. Posse 

1992. 

Projection pursuit discriminant analysis for two group

C. Posse 

Communications in Statistics. Theory and Methods. 1992. Vol. 21, p. 1-19.

An adaptive and powerful randomization test

M. Donegani 

Biometrika. 1992. Vol. 78, p. 930-933.

Least-Absolute-Deviations Fits for Generalized Linear Models

S. Morgenthaler 

Biometrika. 1992. Vol. 79, p. 747-754.

The bias of least squares polynomial interpolants

S. Morgenthaler 

Metrika. 1992. Vol. 39, p. 45-55.

Leverage and breakdown in $L1$ regression

S. Morgenthaler; S. P. Ellis 

Journal of the American Statistical Association. 1992. Vol. 87, p. 143-148.

A note on the scope of distance-based methods

S. Morgenthaler; S. P. Ellis 

Sankhy\=a (Statistics). The Indian Journal of Statistics. Series A. 1992. Vol. 54, p. 464-471.

1991

Configural Polysampling

S. Morgenthaler 

Directions in Robust Statistics and Diagnostics; New York: Springer, 1991. p. 49-63.

Asymptotic and approximative distribution of a statistic by resampling with or without replacement

M. Donegani 

Statistics & Probability Letters. 1991. Vol. 11, num. 2, p. 181-183. DOI : 10.1016/0167-7152(91)90140-M.

Best Linear Discrimination via Projection Pursuit (The Two Groups Case)

C. Posse 

1991. 

Point estimation of location: Technical choices

S. Morgenthaler; J. W. Tukey 

1991.  p. 87-108.

Key ideas and outline. Configural polysampling

S. Morgenthaler; J. W. Tukey 

1991.  p. 21-36.

Configural Polysampling. A Route to Practical Robustness

 

New York: Wiley, 1991.

An information-theoretic framework for robustness

S. Morgenthaler; C. Hurvich 

Annals of the Institute of Statistical Mathematics. 1991. Vol. 43, num. 1, p. 131-146. DOI : 10.1007/BF00116473.

Examples. Robust configural methods

S. Morgenthaler 

1991.  p. 193-212.

Configural Polysampling

S. Morgenthaler 

1991.  p. 193-212.

Confidence intervals for a scale parameter

S. Morgenthaler 

1991.  p. 125-131.

Conditional Confidence intervals for a location parameter

S. Morgenthaler 

1991.  p. 109-124.

Confidence bands for the bias of linear estimators of a function of one variable

S. Morgenthaler 

Communications in Statistics. A. Theory and Methods. 1991. Vol. 20, p. 899-909.

A note on efficient regression estimators with positive breakdown point

S. Morgenthaler 

Statistics & Probability Letters. 1991. Vol. 11, num. 6, p. 469-472. DOI : 10.1016/0167-7152(91)90109-5.

Point estimation of location: Criticism and improvement

S. Morgenthaler; K. B. Krystinik 

1991.  p. 71-85.

Point estimation: Location-and-scale configurations

S. Morgenthaler; K. B. Krystinik 

1991.  p. 37-48.

Construction de tests de rééchantillonnage adaptatifs

M. Donegani / S. Morgenthaler (Dir.)  

Lausanne: EPFL, 1991. DOI : 10.5075/epfl-thesis-982.

1990

A nonparametric procedure for choosing a location test

M. Donegani 

Communications in Statistics. Simulation and Computation. 1990. Vol. 19, p. 1393-1401.

Fitting redescending M-estimators in regression

S. Morgenthaler 

1990.  p. 105-128.

An effective two-dimensional projection pursuit algorithm

C. Posse 

Communications in Statistics. Simulation and Computation. 1990. Vol. 19, p. 1143-1164.

1989

The Next Future of Data Analysis

S. Morgenthaler; J. W. Tukey 

Data Analysis, Learning Symbolic and Numeric Knowledge; New York: Nova Science, 1989.

A statistical model to estimate variance in long term-low dose mutation assays: testing of the model in a human lymphoblastoid mutation assay

A. R. Oller; P. Rastogi; S. Morgenthaler; W. G. Thilly 

Mutation research. 1989. Vol. 216, num. 3, p. 149-61.

Comments on 'High breakdown-point estimates of regression by means of the minimization of an efficient scale'

S. Morgenthaler 

Journal of the American Statistical Association. 1989. Vol. 84, p. 636.

1988

Review of 'Mathematical nonparametric statistics'

S. Morgenthaler 

SIAM Reviews. 1988. Vol. 30, p. 524-525.

1987

A geometric paradigm for exploratory data analysis

S. Morgenthaler; S. P. Ellis 

1987.  p. 289-295.

Confidence intervals for scale

S. Morgenthaler 

Australian Journal of Statistics. 1987. Vol. 29, p. 278-292.

1986

Choice-based samples: a nonparametric approach

S. Morgenthaler; Y. Vardi 

Journal of Econometrics. 1986. Vol. 32, num. 1, p. 109-125. DOI : 10.1016/0304-4076(86)90014-X.

Robust regression through robust covariances

S. Morgenthaler; R. Maronna 

Communications in Statistics. A. Theory and Methods. 1986. Vol. 15, num. 4, p. 1347-1365. DOI : 10.1080/03610928608829187.

Robust confidence intervals for a location parameter: the configural approach

S. Morgenthaler 

Journal of the American Statistical Association. 1986. Vol. 81, p. 518-525.

Asymptotics for configural location estimators

S. Morgenthaler 

The Annals of Statistics. 1986. Vol. 14, p. 174-187.

1985

Variance estimation in single-cell mutation assays: comparison to experimental observations in human lymphoblasts at 4 gene loci

P. M. Leong; W. G. Thilly; S. Morgenthaler 

Mutation research. 1985. Vol. 150, num. 1-2, p. 403-10.

1984

Fitting a Proportionality Constant: A Limited Empirical Study

R. Maronna; S. Morgenthaler 

1984

1983

The Use of Double Sampling in Studying Robustness

S. Morgenthaler; J. W. Tukey 

1983

Maximum Likelihood Reconstruction in Emission Tomography with Time of Flight Information: A Limited Study

L. Kaufmann; S. Morgenthaler; Y. Vardi 

ARO Workshop on Image Processing, Brown University, 1983.

Robust Confidence Intervals for Location and Scale Parameters: The Configural Approach

S. Morgenthaler / J. W. Tukey (Dir.)  

Princeton University, 1983. 

1980

Die Statistischen Aspekte des Grossversuch IV zur Hagelabwehr

S. Morgenthaler 

1980

1979

Examination and Comparison of Robust Regression Estimators

S. Morgenthaler 

1979.