Historique des Ecoles

Year	School	Speakers/Topics	Director	Place
2024	Winter	Mariana Olvera-Cravioto: Processes on random graphs: Modeling the web, social networks and opinion dynamics Sofia Olhede: Estimation and dependence in space and time Simon Wood: Generalized additive models	C. Mazza	Les Diablerets
2023	Summer	Tom Britton: Stochastic and statistical modelling of epidemic outbreaks Po-ling Loh: Robust statistics José Zubizaretta: Causal Inference	C. Mazza	Saignelégier
2023	Winter	Christian Robert: Markov chain Monte Carlo methods, from an introduction to recent advances Olivier Wintenberger: Extreme values for time series Philippe Rigollet: Statistical Optimal Transport	C. Mazza	Les Diablerets
2022	Summer	Aaditya Ramdas: game-theoretic statistics and safe anytime-valid inference Johannes Schmidt-Hieber: Statistical theory for deep neural networks Bin Yu: Veridical data science and interpretable machine learning towards trustworthy AI	S. Engelke	Saignelégier
2022	Winter	Jose Blanchet: Distributional robustness/Optimal Transport Statistics Julie Josse: Overview of methods for handling missing values Leonhard Held: Design and Analysis of Replication Experiments - with an introduction to the R package ReplicationSuccess	S. Engelke	Les Diablerets + On line
2021	Summer	Afonso S. Bandeira: Community Detection in Networks and other Inference Problems: Statistical and Computational considerations Henry Lam: Variance Reduction and Rare-Event Simulationn Yves Tillé: Sampling from Finite Populations	S. Engelke	Les Diablerets
2021	Winter	Anthony Davison: Bootstrap Methods and their Application Thordis L. Thorarinsdottir: Forecast evaluation Yoav Zemel: Introduction to Optimal transport in statistics	S. Engelke	On line (due to Covid-19)
2020	Winter	Michael Bronstein: Minicourse on Deep Learning on Graphs and Manifolds - Numerical computation for statistics Sylvia Frühwirth-Schnatter: Finite Mixture and Markov Switching Models - The Bayesian perspective Johan Segers: "Empirical Processes with Applications in Statistics"	S. Engelke	Villars-sur-Ollon
2019	Summer	Finn Lindgren: Numerical computation for statistics Ryan Tibshirani: Convex Optimization for Statistics and Machine Learning Darren Wilkinson: Statistical computing for systems biology	Y. Tillé	Villars-sur-Ollon
2019	Winter	Mustafa Khammash: Probabilistic Methods for Biochemical Reaction Networks Jonas Peters: Causality in Statistics Alastair Young: Principled statistics for data science	Y. Tillé	Les Diablerets
2018	Summer	Yoav Benjamini: Selective Inference Claudia Czado: Analyzing dependent data with vine copulas Ingrid Van Keilegom: Survival analysis : from basic concepts to open research questions	Y. Tillé	Villars-sur-Ollon
2018	Winter	Patrice Bertail: Survey sampling for non-parametric statistics and big-data Peter Bühlmann: Statistics for High-Dimensional Data Adele Cutler: Random Forests, Then and Now	Y. Tillé	Les Diablerets
2017	Summer	Sudipto Banerjee: High-dimensional Bayesian Geostatistics Andrew Harvey: Modelling Volatility Jonathan Taylor: Critical points of random functions: geometry and inference	Y. Tillé	Villars-sur-Ollon
2017	Winter	Christian Robert: Approximate computational tools and statistical models Philip Stark: Uncertainty Quantification: statistics + wishful thinking Rasmus Waagepetersen: Statistical models and methods for spatial point processes	Y. Tillé	Les Diablerets
2016	Summer	Raymond Carroll: Measurement Error Modeling: Statistical Analysis When Predictors/Responses Cannot Be Ascertained Without Uncertainty Davy Paindaveine: From statistical depth to multivariate quantiles Shaun Seaman: The Analysis of Incomplete Data	V. Chavez	Villars-sur-Ollon
2016	Winter	Victor Panaretos: Spectral analysis of functional data Nancy Reid: Likelihood inference and related topics Peter Green: Graphical models and Bayesian structural learning	V. Chavez	Les Diablerets
2015	Summer	R. Tibshirani: Supervised learning, sparse modelling and selective inference Martin Mäschler: How to write an R package with a view towards reproducibility ? Leo. Held: Objective Bayesian model selection in regression	V. Chavez	Ovronnaz
2015	Spring	Di Cook: Data Visualization: Discover, Explore and be Skeptical S. Lauritzen: Gaussian Graphical Models A. Doucet: Sequential Monte Carlo methods for Bayesian Computation	V. Chavez	Les Diablerets
2014	Summer	R. Samworth: High-dimensional statistical inference T. Mikosch: Heavy Tail Phenomena J.N.K. Rao/Isabel Molina: Small Area Estimation: Methods and Applications	V. Chavez	Leukerbad
2014	Spring	H.R. Kuensch: State space models, filtering and environmental applications A. Owen: Lectures on Empirical Likelihood S. Wood: Additive smooth modelling with reduced rank splines	V. Chavez	Les Diablerets
2013	Summer	G. Molenberghs: Hierarchical data and mixed models J.S. Marron: Object oriented data analysis A.E. Raftery: Bayesian model selection in social research	S. Sardy	Ovronnaz
2013	Spring	R. Koenker: Quantile regression E. Ronchetti: Robust statistics P.J. Diggle: Extending model-based geostatistics	S. Sardy	Les Diablerets
2012	Summer	M. Kenward: The Analysis of missing data Ch. Genest: Introduction to Copula Modeling and its Impementation in R Ray Chambers: Model-Based Survey Sampling Inference	S. Sardy	Ovronnaz
2012	Spring	R.A. Davis: Time series modeling B.P. Carlin: Bayesian adaptive methods for clinical trials N. Hengartner: Modeling correlated neutrons	S. Sardy	Les Diablerets
2011	Summer	R.A. Bailey: Design of experiments T.A.B. Snijders: Statistical models for dynamics of social networks E. Candès: Matrix completion via convex optimization	S. Sardy	Ovronnaz
2011	Spring	C. Kooperberg (Fred Hutchinson Cancer Research Center, Seattle, USA) M. Wainwright (University of California, Berkeley) J. Teugels (Université catholique de Louvain)	S. Sardy	Les Diablerets
2010	Summer	L. Cavalier: Inverse problems in statistics A. Cutler: Random forests for regression and classification G. Claeskens: Model selection	S. Sardy	Ovronnaz
2010	Spring	P. Bürgisser: Smoothed Analysis of Condition Numbers N. Cressie: Spatial Statistics M. Drton: Algebraic Statistics	S. Sardy	Les Diablerets
2009	Summer	D. Brillinger: Random trajectories: some theory and applications A. Christmann: Support vector machines L. Lyons: Statistical problems in particle physics	C. Mazza	Ovronnaz
2009	Spring	T. Hastie: Statistical Learning A. Shiryaev: A Short Course on Option Pricing E. Wit: Statistical Methods for Microarrays	C. Mazza	Les Diablerets
2008	Summer	Y. Ait-Sahalia: Inference for Discretely-Sampled Continuous-Time Models in Finance S. Asmussen: Computational methods in insurance risk D. Picard: A Short Course on Wavelets	C. Mazza	Ovronnaz
2008	Spring	F. Delbaen: Risk measures M. Goldstein: Bayesian methodology M. Suchard: Biomathematics	C. Mazza	Villars-sur-Ollon
2007	Summer	R. Carroll: Retrospective sampling and gene-environment interaction studies S. van der Geer: Empirical processes theory and applications in nonparametric statistics J. Taylor: Statistical applications of geometry and random fields	C. Mazza	Ovronnaz
2007	Spring	S. Morgenthater: Statistical genetics G. Saporta: Classification Supervisée J. Silverstein: random matrices	C. Mazza	Les Diablerets
2006	Summer	R. Boys: Statistics in systems biology J. Ramsay: Functional data analysis J.N.K. Rao: Recent developments in sample surveys	A.C. Davison	Ovronnaz
2006	Spring	H. Rue: Gaussian markov random fields R. Henderson: Event history analysis V. Isham: Modelling epidemics	A.C. Davison	Les Diablerets
2005	Summer	D.W. Nychka: Smoothing and Spatial Data: hedging on a Bayesian perspective D.B. Applebaum: Lévy processes and applications P. McCullagh: Some topics in statistical modelling	A.C. Davison	Ovronnaz
2005	Spring	C. Holmes: Bayesian nonparametric regression K. Worsley: (a) The geometry of random image in astrophysics and brain mapping (b) Detecting changes in brain shape, scale and connectivity via the geometry of random fields (c) Recent advances in random field theory E.I. George: Model Uncertainty, Selection and Combination	A.C. Davison	Villars-sur-Ollon
2004	Summer	A. Agresti: Analysis of repeated categorical measurement data M. Kimmel: Branching processes in biology J. Moller: Inference for spatial point processes	A.C. Davison	Ovronnaz
2004	Spring	Y. Benjamini: Multiple comparisons I. Dryden: Statistics of Shape A.C. Davison: Conditional and marginal inference S. Morgenthaler: Méthodes statistique pour lisser un tableau à deux voies	A.C. Davison	Les Diablerets
2003	Summer	Adelchi Azzalini: Basic theory and some specialised topics V.L. Girko: Random Matrices and their Applications A.K. Gupta: idem M. Tenehaus: Les Méthodes PLS	Y. Dodge	Villars-sur-Ollon
2003	Spring	E. Arjas: Causal reasoning from longitudinal data Ch.P. Robert: Markov Chain Monte Carlo Methods A. Bengio: Statistical Machine Learning	Y. Dodge	Les Diablerets
2003	Winter	G.J. McLachlan: Mixture models, EM algorithm D.S. Stoffer: Financial time series	S. Gsteiger	Villars-sur-Ollon
2002	Summer	D.B. Percival: Wavelet Analysis of Discrete Time Series A.T. Walden: (joint with D.B. Percival)	A. Gualtierotti	Les Rasses
2002	Spring	J.A. Wellner: Empirical processes in statistics: methods, examples, further problems R.L. Smith: Environmental statistics A.D. Barbour: Poisson approximation and Stein's method	A. Gualtierotti	Champéry
2001	Summer	T. Speed: Computational biology for statisticians R.L. Wolpert: Spatial Bayesian biostatistics	?	Les Rasses
2001	Spring	J. Jureckova: Statistical tests based on ranks A. Gelman: Bayesian statistics N. Keiding: Statistical models based on counting processes	S. Morgenthaler	Champéry
2000	Summer	O. Dette: Optimal design for nonlinear regression models T. Mikosch: Modelling financial time series	S. Morgenthaler	Crans-Montana
2000	Spring	A. S. Hedayat: Orthogonal arrays S. Tavare: Mathematical genetics M. Taqqu: Long-range dependence	S. Morgenthaler	Villars-sur-Ollon
1999	Summer	S. Senn: Cross-over Trials in Clinical Research J. Beran: Long-range Dependence	S. Morgenthaler	Le Brassus (F)
1999	Spring	Y.L. Grize: A review of Robust process design approaches A. Harvey: Times Series Models and the Kalman filter E. Yaschin: Sequential Methods in Industrial Statistics	F. Streit G. Antille	Villars-sur-Ollon
1998	Spring	A. Morabia: Statistical Models for Longitudinal Data P. Morettin: Wavelets in Statistics S. Zeger: Longitudinal Research in the Health Sciences M. Titterington: Statistics and Neural Networks	F. Streit G. Antille	Villars-sur-Ollon
1997	Winter	R. Chambers: The "Model Based" approach to sample survey estimation N. Cressie: Statistics for Spatial Data S. Richardson: Spatial Statistics in epidemiology	H. Carnal	Villars-sur-Ollon
1996	Winter	M. Casalis: Flexible Regression and Classification T. Hastie: Generalized additive models G. Letac: Multivariate quadratic natural exponential families D. Tyler: Multivariate statistics	H. Carnal	Villars-sur-Ollon
1995	Autumn	Q. Yao: Parametric Fitting of Nonlinear Time Series Models I. Mc Leod: Models for Seasonal Time Series O. Borgan: The counting process approach to survival and event history analysis	H. Carnal	Université de Lausanne
1995	Spring	J. Bernardo: Logical Inevitability of the Bayesian paradigm M.O. Hongler: Dynamique des flux de productions industrielles et processus stochastiques F. Hampel: Some Topics in the Foundations of Statistics R.Y. Liu: Nonparametric Statistics: Methods Based On Resampling and Data Depth R.M. Royall: The trouble with Statistics	Y. Dodge J.P. Renfer	Villars-sur-Ollon
1994	Autumn	R.A. Davis: Unit Root Problem in AR and MA Times Series Models D. Draper: Lectures on Bayesian Statistics I. Olkin: Lectures on Meta-Analysis	Y. Dodge J.P. Renfer	Berne
1994	Spring	C. Goodal: Lectures on the Statistical Analysis of shape J. Seely: Linear Model Estimation Notes A. Welsch: Exploring the Relationship between a Response and Covariates M. Graf-Jacottet: ? Pas dans le programme P. Nüesch: Les statistiques d'ordre discrètes	Y. Dodge J.P. Renfer	Anzère
1993	Autumn	D. F. Andrews: A general theory for the symbolic computation of asymptotic expansions G. Pederzoli: Random geometric configurations and their statistical distributions	F. Streit	Genève
1993	Spring	D. Aldous: Reversible Markov Chains and Random Walks on Finite Graphs S.E. Fienberg: Graphical Statistical Models, with Special Application to Contingency Table Analysis R. Serfling: Asymptotic Methods in Statistics	Y. Dodge	Crans-Montana
1992	Autumn	D. J. Hand: Analysis of repeated measures data F. Eiker: Some computer graphical tools for exploratory data analysis	A. Antille	Neuchâtel
1992	Spring	R. Carroll: Nonlinear measurement error models C. Glasbey: Regression with autocorrelated errors F. Dufresne: Collective risk models over an extended period	A. Antille	Crans-Montana
1991	Autumn	J. Whittaker: Graphical models in applied multivariate statistics	A. Antille	Fribourg
1991	Spring	N. Becker: Epidemics and their Statistical treatment D. Birkes: References on ridge and Stein regression J.A. Nelder: Generalized Linear Models B. Oksendal: Stochastic integration	A. Antille J.M Helbling	Crans-Montana
1990	Spring	P.J. Huber: Computing-Data Analysis A. Gut: Renewal Theory	A. Antille	Crans-Montana
1989	Spring	R. Leadbetter: Six lectures on Modern Extreme Value Theory T. Lewis: Analysis of spherical Data T. Lindvall: ? F. Pukelsheim: Majorization Ordering for Linear Regression Designs	P. Nuesch J.M Helbing	Crans-Montana
1988	Spring	P. Picard: ? J. Gani: Introduction to Epidemic Modelling P. Hettmansperger: Lectures on Nonparametrics	P. Nuesch J.M Helbing	Crans-Montana
1987		J.N.K. Rao: Variance in sample surveys J.C. Deville: Sondage: les principes de base N. Roth: Concept of Dependence C. E. Sarndal: idem K. Joag Dev:idem	J.P. Imhof	Les Diablerets
1986	Spring	D.R. Cox: Statisticals Analysis of Binary Data E.J. Snell: idem P. Hougaard: Statisticals Analysis of Survival Data S. Johansen: idem	J.P. Imhof	Les Diablerets
1985	Spring	I.M. Chakravarti: Théorie de l'information Y. Escouffier: Algorithms for the Processing of large data matrices L. Lebart: Traitement de grand tableau Barra: Assistance intelligente par ordinateur en statistique	J.P. Imhof	Les Diablerets
1984	Spring	P. Dagnielie: Introduction aux plans d’expérience et à l’analyse de variance – Expériences répétées – Simulation T. Calinski: Problems in analysing non-orthogonal designs – Block designs and their intrablock analysis Y. Dodge: Analyse d’expériences avec observations manquantes M. Graf-Jaccottet: Méthodes d’analyse factorielle en théorie des plans d’expérience	M. Lejeune	Les Diablerets
1983	Spring	Hampel: Robustesse Marrazzi: idem Rousseeuw: idem Ronchetti: idem Montfort: Séries chronologiques Deheuwels: Estimation non-paramétrique	M. Lejeune	Saas Fee