Invited speakers and sessions

Invited speakers

• Adelchi Azzalini, University of Padova, Italy
  On the use of ordered factors as explanatory variables
  
  
• Katarzyna Filipiak, Poznań University of Technology, Poland
  Safety belt estimation under the multivariate linear model
  
  
• Solomon W. Harrar, University of Kentucky, USA
  Overcoming biomarker bias with finite mixtures for multivariate outcomes
  
  
• Thomas Mikosch, University of Copenhagen, Denmark
  Extreme value theory for multivariate heavy-tailed time series
  
  
• Hannu Oja, University of Turku
  Notions of dispersion, kurtosis and information: From principal components to independent components

 

 

Invited sessions

 

New Analytics for Complex Correlated Data

• Organizer: Peter Song, University of Michigan, USA, Quantile mediation analysis 
• Margaret Banker, Northwestern University, USA, Changepoint and functional parameter estimation with an accelerometer data application
• Ostap Okhrin, Dresden University of Technology, Germany, Addressing maximization bias in reinforcement learning with two-sample testing
• Menggang Yu, University of Michigan, USA, Sufficient dimension reduction for populations with structured heterogeneity

 

 

Predictive Density Estimation

• Organizer: Éric Marchand, Université de Sherbrooke, Canada, The search for efficient predictive density estimators in multivariate models
• Takeru Matsuda, University of Tokyo, Japan, Matrix estimation and prediction via singular value shrinkage
• Fumiyasu Komaki, University of Tokyo, Japan, Improving predictions based on right invariant priors for group models
• Gourab Mukherjee, University of Southern California, USA, Predictive inference in linear mixed models

 

 

Statistical Modeling and Inference on Complex Network Data

• Organizer: Wen Zhou, Colorado State University, USA,  Detection and statistical inference on informative core and periphery structures in weighted directed networks
• Yuan Zhang, Ohio State University, USA,  U-statistic reduction: Higher-order accurate risk control and statistical-computational trade-off, with application to network method-of-moments
• Ji Zhu, University of Michigan, USA, Statistical inference on latent space models for network data
• Yunpeng Zhao, Colorado State University, USA, Community detection with heterogeneous block covariance mode