YearSchoolSpeakers/TopicsDirectorPlace

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. TilléVillars-sur-Ollon
2018WinterPatrice 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. TilléLes Diablerets
2017SummerSudipto Banerjee: High-dimensional Bayesian Geostatistics
Andrew Harvey: Modelling Volatility
Jonathan Taylor: Critical points of random functions: geometry and inference
Y. TilléVillars-sur-Ollon
2017WinterChristian 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. TilléLes Diablerets
2016SummerRaymond 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. ChavezVillars-sur-Ollon
2016Winter

Victor Panaretos: Spectral analysis of functional data
Nancy Reid: Likelihood inference and related topics
Peter Green: Graphical models and Bayesian structural learning

V. ChavezLes Diablerets
2015SummerR. 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. ChavezOvronnaz
2015SpringDi Cook: Data Visualization: Discover, Explore and be Skeptical
S. Lauritzen: Gaussian Graphical Models
A. Doucet: Sequential Monte Carlo methods for Bayesian Computation
V. ChavezLes Diablerets
2014SummerR. Samworth: High-dimensional statistical inference
T. Mikosch: Heavy Tail Phenomena
J.N.K. Rao/Isabel Molina: Small Area Estimation: Methods and Applications
V. ChavezLeukerbad
2014SpringH.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. ChavezLes Diablerets
2013SummerG. Molenberghs: Hierarchical data and mixed models
J.S. Marron: Object oriented data analysis
A.E. Raftery: Bayesian model selection in social research
S. SardyOvronnaz
2013SpringR. Koenker: Quantile regression
E. Ronchetti: Robust statistics
P.J. Diggle: Extending model-based geostatistics
S. SardyLes Diablerets
2012SummerM. 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. SardyOvronnaz
2012SpringR.A. Davis: Time series modeling
B.P. Carlin: Bayesian adaptive methods for clinical trials
N. Hengartner: Modeling correlated neutrons
S. SardyLes Diablerets
2011SummerR.A. Bailey: Design of experiments
T.A.B. Snijders: Statistical models for dynamics of social networks
E. Candès: Matrix completion via convex optimization
S. SardyOvronnaz
2011SpringC. Kooperberg (Fred Hutchinson Cancer Research Center, Seattle, USA)
M. Wainwright (University of California, Berkeley)
J. Teugels (Université catholique de Louvain)
S. SardyLes Diablerets
2010SummerL. Cavalier: Inverse problems in statistics
A. Cutler: Random forests for regression and classification
G. Claeskens: Model selection
S. SardyOvronnaz
2010SpringP. Bürgisser: Smoothed Analysis of Condition Numbers
N. Cressie: Spatial Statistics
M. Drton: Algebraic Statistics
S. SardyLes Diablerets
2009SummerD. Brillinger: Random trajectories: some theory and applications
A. Christmann: Support vector machines
L. Lyons: Statistical problems in particle physics
C. MazzaOvronnaz
2009SpringT. Hastie: Statistical Learning
A. Shiryaev: A Short Course on Option Pricing
E. Wit: Statistical Methods for Microarrays
C. MazzaLes Diablerets
2008SummerY. 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. MazzaOvronnaz
2008SpringF. Delbaen: Risk measures
M. Goldstein: Bayesian methodology
M. Suchard: Biomathematics
C. MazzaVillars-sur-Ollon
2007SummerR. 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. MazzaOvronnaz
2007SpringS. Morgenthater: Statistical genetics
G. Saporta: Classification Supervisée
J. Silverstein: random matrices
C. MazzaLes Diablerets
2006SummerR. Boys: Statistics in systems biology
J. Ramsay: Functional data analysis
J.N.K. Rao: Recent developments in sample surveys
A.C. DavisonOvronnaz
2006SpringH. Rue: Gaussian markov random fields
R. Henderson: Event history analysis
V. Isham: Modelling epidemics
A.C. DavisonLes Diablerets
2005SummerD.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. DavisonOvronnaz
2005SpringC. 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. DavisonVillars-sur-Ollon
2004SummerA. Agresti: Analysis of repeated categorical measurement data
M. Kimmel: Branching processes in biology
J. Moller: Inference for spatial point processes
A.C. DavisonOvronnaz
2004SpringY. 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. DavisonLes Diablerets
2003SummerAdelchi 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. DodgeVillars-sur-Ollon
2003SpringE. Arjas: Causal reasoning from longitudinal data
Ch.P. Robert: Markov Chain Monte Carlo Methods
A. Bengio: Statistical Machine Learning
Y. DodgeLes Diablerets
2003WinterG.J. McLachlan: Mixture models, EM algorithm
D.S. Stoffer: Financial time series
S. GsteigerVillars-sur-Ollon
2002SummerD.B. Percival: Wavelet Analysis of Discrete Time Series
A.T. Walden: (joint with D.B. Percival)
A. GualtierottiLes Rasses
2002SpringJ.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. GualtierottiChampéry
2001SummerT. Speed: Computational biology for statisticians
R.L. Wolpert: Spatial Bayesian biostatistics
?Les Rasses
2001SpringJ. Jureckova: Statistical tests based on ranks
A. Gelman: Bayesian statistics
N. Keiding: Statistical models based on counting processes
S. MorgenthalerChampéry
2000SummerO. Dette: Optimal design for nonlinear regression models
T. Mikosch: Modelling financial time series
S. MorgenthalerCrans-Montana
2000SpringA. S. Hedayat: Orthogonal arrays
S. Tavare: Mathematical genetics
M. Taqqu: Long-range dependence
S. MorgenthalerVillars-sur-Ollon
1999SummerS. Senn: Cross-over Trials in Clinical Research
J. Beran: Long-range Dependence
S. MorgenthalerLe Brassus (F)
1999SpringY.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
1998SpringA. 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
1997WinterR. Chambers: The "Model Based" approach to sample survey estimation
N. Cressie: Statistics for Spatial Data
S. Richardson: Spatial Statistics in epidemiology
H. CarnalVillars-sur-Ollon
1996WinterM. Casalis: Flexible Regression and Classification
T. Hastie: Generalized additive models
G. Letac: Multivariate quadratic natural exponential families
D. Tyler: Multivariate statistics
H. CarnalVillars-sur-Ollon
1995AutumnQ. 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. CarnalUniversité de Lausanne
1995SpringJ. 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
1994AutumnR.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
1994SpringC. 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
1993AutumnD. F. Andrews: A general theory for the symbolic computation of asymptotic expansions
G. Pederzoli: Random geometric configurations and their statistical distributions
F. StreitGenève
1993SpringD. 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. DodgeCrans-Montana
1992AutumnD. J. Hand: Analysis of repeated measures data
F. Eiker: Some computer graphical tools for exploratory data analysis
A. AntilleNeuchâtel
1992SpringR. Carroll: Nonlinear measurement error models
C. Glasbey: Regression with autocorrelated errors
F. Dufresne: Collective risk models over an extended period
A. AntilleCrans-Montana
1991AutumnJ. Whittaker: Graphical models in applied multivariate statisticsA. AntilleFribourg
1991SpringN. 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
1990SpringP.J. Huber: Computing-Data Analysis
A. Gut: Renewal Theory
A. AntilleCrans-Montana
1989SpringR. 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
1988SpringP. 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. ImhofLes Diablerets
1986SpringD.R. Cox: Statisticals Analysis of Binary Data
E.J. Snell: idem
P. Hougaard: Statisticals Analysis of Survival Data
S. Johansen: idem
J.P. ImhofLes Diablerets
1985SpringI.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. ImhofLes Diablerets
1984SpringP. 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. LejeuneLes Diablerets
1983SpringHampel: Robustesse
Marrazzi: idem
Rousseeuw: idem
Ronchetti: idem
Montfort: Séries chronologiques
Deheuwels: Estimation non-paramétrique
M. LejeuneSaas Fee