Year

School

Speakers/Topics

Director

Place

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

?

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

?

Dorigny ?

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

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

J. Hüsler

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

?

Anzère

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

J.P. Renfer

Crans-Montana

1992

Spring

R. Carroll: Nonlinear measurement error models
C. Glasbey: Regression with autocorrelated errors
F. Dufresne: Collective risk models over an extended period

?

Crans-Montana

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

?

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

?

Crans-Montana

1988

Spring

P. Picard: ?
J. Gani: Introduction to Epidemic Modelling
P. Hettmansperger: Lectures on Nonparametrics

?

?

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

?

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

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

Les Diablerets

1983

Spring

Hampel: Robustesse
Marrazzi: idem
Rousseeuw: idem
Ronchetti: idem
Montfort: Séries chronologiques
Deheuwels: Estimation non-paramétrique

Saas Fee