Swiss Statistics Seminars

Spring 2024 (March 15)

• Yuansi CHEN (ETH Zürich)
  Mixing of Random Walks on Truncated Log-Concave Distributions
• Sofia C. OLHEDE (EPF Lausanne)
  Graph Limit Models and Beyond

Spring 2023 (March 24)

• David GINSBOURGER (University of Bern)
  On Gaussian Process Multiple-Fold Cross-Validation
• Boaz NADLER (Weizmann Institute of Science, Israel)
  Completing Large Low Rank Matrices with only Few Observed Entries: A One-Line Algorithm with Provable Guarantees

Spring 2022 (March 25)

• Mats J. STENSRUD (EPF Lausanne)
  On (Super)Optimal Individualized Decision Rules
• Arnaud DOUCET (University of Oxford, UK)
  Diffusion Schrödinger Bridges - From Generative Modeling to Posterior Simulation

Fall 2019 (October 25)

• Jonas PETERS (University of Copenhagen, Denmark)
  Towards Using Causality in the Sciences
• Patrick WOLFE (Purdue University, USA)
  Modeling Large Networks and Network Populations

Fall 2018 (November 9)

• Thordis THORARINSDOTTIR (Norwegian Computing Center, Oslo)
  Post-processing climate model output to obtain accurate high-resolution climate projections
• Richard SAMWORTH (University of Cambridge)
  Classification with imperfect training labels

Spring 2017 (May 5)

• Sebastian ENGELKE (École Polytechnique Fédérale de Lausanne)
  An Entropy-Based Test for Multivariate Threshold Exceedances
• Matthias TEMPL (Zürich University of Applied Sciences)
  Creating Public-Use Synthetic Data From Complex Surveys
• Damian KOZBUR (University of Zürich)
  Targeted Undersmoothing

Spring 2015 (April 24)

• Wilfrid KENDALL (University of Warwick) 
  A Perfect Queue
• Julie JOSSE (Agrocampus Ouest, Rennes) 
  A Flexible Framework for Regularized Low-Rank Matrix Estimation
• Holger DETTE (Ruhr University Bochum) 
  Copula Based Spectral Analysis

Fall 2014 (November 7)

• David TYLER (Rutgers University)
  Robust covariances: Structured models and regularization
• Sonia PETRONE (Bocconi University, Milano)
  On merging of Bayes and Empirical Bayes
• Francis BACH (ENS Paris)
  Beyond stochastic gradient descent for large-scale machine learning

Spring 2014 (April 11)

• Donald RICHARDS (Pennsylvania State University)
  The affinely invariant distance correlation
• Antonietta MIRA (University of Lugano)
  Ordering and improving the performance of Monte Carlo Markov chains
• Rajen SHAH (University of Cambridge)
  Min-wise hashing for large-scale regression

Spring 2013 (April 26)

• Hein PUTTER (Leiden University)
  The Landmark Approach: An Introduction and Application to Dynamic Prediction in Competing Risks
• Johanna F. ZIEGEL (University of Bern)
  Coherence and Elicitability
• Piotr FRYZLEWICZ (London School of Economics and Political Science)
  Wild Binary Segmentation for Multiple Change-Point Detection

Fall 2012 (October 26)

• Nanny WERMUTH (Chalmers University of Technology, Gothenburg)
  Traceable Regressions in a Prospective Study of Child Development
• Jennifer L. WADSWORTH (EPF Lausanne)
  Dependence Modelling for Extreme Values
• Anatoli JUDITSKY (Joseph Fourier University, Grenoble)
  Accuracy Guarantees for ℓ1 Recovery of Block-Sparse Signals

Spring 2012 (April 20)

• Anestis ANTONIADIS (Joseph Fourier University, Grenoble)
  Wavelet Methods for Continuous-Time Prediction by Means of Markov Switching Autoregressive Hilbert Space Processes
• Guillaume OBOZINSKI (ENS Paris)
  Convex Relaxation for Combinatorial Penalties
• Jon WELLNER (University of Washington, Seattle)
  On and Off Semiparametric Models

Fall 2011 (October 25; Swiss Statistics Meeting in Fribourg)

• Dominic SCHUHMACHER (University of Bern)
  Maximum-Likelihood Estimation of a Log-Concave Density based on Censored Data
• Lutz DÜMBGEN (University of Bern)
  Comments on Projection Pursuit in High-Dimensional Settings

Spring 2011 (April 15)

• Stefan SPERLICH (University of Geneva)
  Imposing Structure by Prior Knowledge in Semiparametric Analysis
• Gilles BLANCHARD (University of Potsdam)
  On Optimal Rates for Kernel Conjugate Gradient Regularization under Random Design and Noise
• Geurt JONGBLOED (TU Delft)
  Everything is Getting Worse... Or Not?

Fall 2010 (October 22)

• Richard Nickl (University of Cambridge)
  On Adaptive Nonparametric Inference
• Juliette BLANCHET (SLF Davos)
  Spatial Modeling of Extreme Snow Depth in Switzerland
• Gilles CELEUX (University of Paris XI, Orsay)
  Comparing Different Points of View for Analyzing Finite Mixture Models

Spring 2010 (April 23)

• Catalin STARICA (University of Neuchâtel)
  The stock markets of Europe: Globalization or European Integration?
• Niko BEERENWINKEL (ETH Zürich/Basel)
  Evolutionary Dynamics of Cancer
• Tilmann GNEITING (University of Heidelberg)
  Making and Evaluating Point Forecasts

Fall 2009 (October 30; Swiss Statistics Meeting in Geneva)

• Reinhard FURRER (University of Zurich)
  Climate Change: The Uncertainty of Certainty
• Christian KLEIBER (University of Basel)
  Majorization (not only) in Inequality Measurement
• Sylvain SARDY (University of Geneva)
  L₁-Penalized Likelihood Smoothing of Volatility Processes Allowing for Abrupt Changes

Spring 2009 (April 24)

• Alan WELSH (Australian National University, Canberra)
  Recent Reflections on Extra Zeros in Count Data
• Regina LIU (Rutgers University)
  Mining Massive Text Data: Classification, Tracking Statistics and Inference under Misclassification
• Richard GILL (Leiden University)
  Statistics on Trial: The Case of Lucia de Berk

Fall 2008 (October 24)

• Fabrizio RUGGERI (CNR-IMATI, Milano)
  Some Results in Bayesian Reliability
• Fred HAMPRECHT  (Heidelberg University)
  Active Learning in Industrial Quality Control
• Omiros PAPASPILIOPOULOS (Pompeu Fabra University, Barcelona)
  Representations and Posterior Simulation for Dirichlet Hierarchical Models with Applications to Inference for Non-Parametric Hidden Markov Models

Spring 2008 (April 25)

• Hajo HOLZMANN (University of Karlsruhe)
  Likelihood Inference for Mixtures and Hidden Markov Models under Non-Standard Conditions
• Richard E. CHANDLER (University College London)
  Space-time Modelling Using Independence and Generalised Estimating Equations
• Leonard HELD (University of Zurich)
  Multivariate Modelling of Infectious Disease Surveillance Data

Fall 2007 (November 16; Swiss Statistics Meeting in Lucerne)

• Victor PANARETOS (University of California at Berkeley; EPF Lausanne)
  Partially Observed Stochastic Epidemics
• Marloes MAATHUIS (University of Washington, Seattle; ETH Zurich)
  Limiting Distribution of the MLE for Current Status Data with Competing Risks
• Laurie DAVIES (University of Duisburg-Essen)
  Approximation Regions and Nonparametric Regression

Spring 2007 (May 11)

• Yanyuan MA (University of Neuchâtel)
  Parameter and Functional Estimation in Semiparametric Models
• Yuedong WANG (University of California at Santa Barbara)
  ASSIST: A Suite of S Functions Implementing Spline Smoothing Techniques
• Nicola SARTORI (Ca' Foscari University of Venice)
  Likelihood Inference for a Problem in Particle Physics
• Markus REISS (Heidelberg University)
  Statistical Inverse Problems with Error in the Operator

Fall 2006 (December 8)

• Marc GENTON (University of Geneva)
  Modeling and Inference Based on the Multivariate Skew-t Distribution
• Juan José EGOZCUE (Polytechnic University of Catalonia)
  The Sample Space of Compositional Data
• Tony ROSSINI (Novartis, Basel)
  Modeling, Simulation, Computing and Pharma
• Christophe CROUX (KU Leuven)
  Robust Discrimination: An Influence Function Appraoch

Spring 2006 (May 19)

• Davy PAINDAVEINE (ULB, Brussels)
  Rank-Based Tests of Multivariate Independence in Independent Component Models
• Martin SCHLATHER (Helmut Schmidt University, Hamburg)
  Simulation of Gaussian Random Fields
• Ian L. DRYDEN (University of Nottingham)
  Travels in Shape Spaces

Fall 2005 (November 11; Swiss Statistics Meeting in Zurich)

• Sara van de GEER (Leiden University, ETH Zurich)
  A Comparison of Exponential and Hinge Loss in Classification
• Nicolai MEINSHAUSEN (ETH Zurich)
  Detection of Rare and Weak Signals: Multiple Testing for Astronomical Data
• A. Phil DAWID (University College London)
  Causality: Conceptions, Connexions, Confusions, Contentions

Spring 2005 (May 20)

• Axel MUNK (University of Göttingen)
  Statistical Inverse Problems
• Samuel MÜLLER (University of Bern)
  Model Selection in Linear and Partially Linear Models
• Gerda CLAESKENS (KU Leuven)
  Focussed Model Selection for Cox' Hazard Regression Model
• Stephen PORTNOY (University of Illinois, Urbana-Champaign)
  Conditional Quantiles: Reveling in the Charm of Variety