Plenary speaker

Working titles might be subject to changes

  • Peter Rousseeuw (University of Leuven)
  • Detecting cellwise outliers

  • Hans Rudolf Künsch (ETH Zürich)
  • Numerical weather prediction and statistics

  • Simon Thompson (University of Cambridge)
  • Mendelian randomization: its potential and limitations

  • Adalbert Wilhelm (Jacobs University Bremen)
  • Data-Driven Classification in the Social Sciences

Invited Speaker

Working titles might be subject to changes

  • Rosemary Bailey (Design of Experiments)

Design of Dose-Escalation Trials: Research Spurred by a Trial That Went Wrong

  • Andreas Buja (Visualisation and Exploratory Data Analysis)
Combining Data Visualization and Analytics --- Examples and Problems

  • Ying Cheng (Psychometrics)
Computerized Adaptive Testing: The History, Development and New Directions

  • Gerda Claeskens (Mathematical Statistics in Life Science)
Confidence intervals post-model selection and other topics in model averaging

  • Sandrine Dudoit (Statistics of High Dimensional Data)
Identification of Novel Cell Types in the Brain Using Single-Cell Transcriptome Sequencing

  • Peter Goos (Statistics in Natural Sciences and Technology)
Optimal design of mixture experiments

  • Patrik Guggenberger (Empirical Economics and Applied Econometrics)
Identification- and Singularity- Robust Inference for Moment Condition Models

  • Marc Hallin (Robust and Nonparametric Statistics)
Monge-Kantorovitch Quantiles, Ranks, and Signs

  • Larry Hedges (Research Synthesis and Meta Analysis)
Recent Developments in Multivariate Meta-analysis

  • Georg Heinze (Education for Statistics in Practice, lecture series of the Biometric Society)
Variablen Selektion

  • Robin Henderson (Survival and Event History Analysis)
Longitudinal perspectives on event history analysis

  • Joop Hox (Multilevel and Panel Data Analysis)
Common problems and some solutions in the analysis of cross-national surveys

  • Beat Hulliger (Official Statistics and Survey Statistics)
Monitoring statistical data preparation

  • Thomas Lengauer (Bioinformatics)
Custom-tailoring combination drug therapies with bioinformatics

  • David Lovell (Statistics in Clinical and Preclinical Research)
Statistics and mutagenicity/genotoxicity testing: past and future challenges

  • Marloes Maathuis (Graphical Models and Causal Inference)
A complete adjustment criterion for the computation of causal effects

  • Masahiro Mizuta (Cluster Analysis and Classification)
Symbolic data analysis for post-big data

  • Byron Morgan (Statistics in Agriculture and Ecology)
Integrated population modelling

  • Morten Ørregaard Nielsen (Time Series Analysis)
The cointegrated vector autoregressive model with general deterministic terms

  • Edzer Pebesma (Computational Statistics and Statistical Software)
Support of observations and predictions in spatial and temporal statistics: practical aspects and software challenges

  • Jose M. Pena (Machine Learning)
Data Analysis Challenges in Neuroscience: From Experimental Data to Brain Simulation

  • Lawrence Phillips (Methods for Risk and Benefit Assessment)
Creating the future: moving benefit-risk decisions from implicit and qualitative to explicit and quantitative

  • Bertram Raum (Destroying data as a means of data protection - is it ethical?)
Forschungsethik und Datenschutz in Zeiten von Big Data

  • Yves Rosseel (Structural Equation Modelling)
Lavaan and the (computational) history of structural equation modeling

  • Håvard Rue (Penalized and Regularized Regression Analysis)
Sensitivity of model assumptions for latent Gaussian models

  • Olivier Scaillet (Statistics in Finance)
A diagnostic criterion for approximate factor structure

  • Max Welling (Big Data and Data Science)
Bayesian inference in deep architectures