Abstracts are now available.


Thursday, October 6

Rackham Graduate School, 4th floor

  • 8:15-8:45am Coffee and Registration (Assembly Room)
  • 8:45-9:00am Welcome Messages from Dean Andrew Martin, LSA
    and Professor and Chair Xuming He, Department of Statistics. (Amphitheater)
  • 9:00-10:40am Plenary Session #1 (Amphitheater). Chair: Xuming He

Bickel, Peter University of California, Berkeley
Block models with covariates: likelihood methods of fitting

Levina, Liza University of Michigan
Interpretable models for prediction on networks with cohesion

Zhou, Harrison Yale University
Statistical and computational guarantees of Lloyd’s algorithm

  • 10:40-11:10am Coffee Break
  • 11:10-12:30pm Parallel Sessions

    Session A (Amphitheater): High Dimensional Model Selection or Estimation.
    Chair: Mary Meyer

Van Keilegom, Ingrid Universite catholique de Louvain / Institute of Statistics   The focused information criterion for a mixture cure model

Narisetty, Naveen University of Illinois at Urbana Champaign
Scalable and consistent variable selection for high dimensional logistic regression

Zhou, Shuheng University of Michigan
Errors-in-variables models with dependent measurements


Session B (East Conference Room): Estimation and Inference for Networks.
Chair: Liza Levina

Amini, Arash UCLA
Matched bipartite block model with covariates

Lei, Jing Carnegie Mellon University
Statistical inference for stochastic block models

Shojaie, Ali University of Washington
Estimation and inference for high-dimensional kernel-penalized regression

  • 12:30-2:00pm Lunch
  • 2:00-3:40pm Plenary Session #2 (Amphitheater). Chair: Bin Nan

Wang, Jane-Ling University of California, Davis                                                               From functional to neuroimaging data and beyond

Chen, Kehui University of Pittsburgh
Network modeling for brain functional connectivity analysis

Wang, Xiao Purdue University
Optimal estimation for quantile regression with functional response

  • 3:40-4:10pm Coffee Break
  • 4:10-5:30pm Parallel Sessions

    Session A (Amphitheater): Utilizing Mixtures in Advanced Analysis. Chair: Long Nguyen

Qu, Annie University of Illinois at Urbana-Champaign
Cluster analysis of longitudinal profiles with subgroups

Sen, Bodhisattva Columbia University
Estimation of a two-component mixture model with applications to multiple testing

Zhu, Hongtu UT MD Anderson Cancer Center
Tensor partition mixture models for heterogeneous functional prediction

Session B (East Conference Room): Nonparametric Analysis Under Nontraditional Settings.  Chair: Jean Opsomer

Wang, Haonan Colorado State University
Nonparametric statistics for unlabeled tree objects

Anderes, Ethan University of California at Davis
Quadratic estimation of random field non-stationarity

Wang, Lily Iowa State University
Efficient estimation of partially linear models for spatial data over complex domains

  • 5:30-7:00pm Poster Session & Reception (West Conference & Assembly Rooms)
    Rackham Graduate School, 4th floor
    Not open to the public.  Invitation only

Friday, October 7

Rackham Graduate School, 4th floor

  • 8:15-9:00am Coffee and Registration
  • 9:00-10:40am Plenary Session #3 (Amphitheater).   Chair: Ben Hansen

Ruppert, David Cornell University
A Bayesian multivariate functional dynamic linear model

Staudenmayer, John University of Massachusetts, Amherst
A computationally efficient approach to non-parametric density estimation in the pres- ence of measurement error

MacEachern, Steve The Ohio State University
Density estimation with MCMC samples

  • 10:40-11:10am Coffee Break
  • 11:10-12:30pm Parallel Sessions
    Session A (Amphitheater): Shape-restricted Estimation & Modeling.                                          Chair: Bodhi Sen

Meyer, Mary Colorado State University
Inference methods with constrained splines

Banerjee, Moulinath University of Michigan
Divide and conquer in non-standard problems and the super-efficiency phenomenon

Opsomer, Jean Colorado State University
Shape-restricted survey estimators

Session B (East Conference Room): Analysis of Functional/Longitudinal Data.                     Chair: Naisyin Wang

Delaigle, Aurore University of Melbourne
New methods for analyzing partially observed functional data

Li, Yehua Iowa State University
Generalized quasi-likelihood ratio tests for semiparametric analysis of covariance models in longitudinal data

Ma, Yanyuan Penn State University
Functional single index model

Session C (West Conference Room): Challenges and Advances in High Dimensional Problems. Chair: Harry Zhou

Ma, Zongming University of Pennsylvania
Community detection in degree-corrected block models

Negahban, Sahand Yale University
Restricted strong convexity and weak submodularity

Wang, Lan University of Minnesota
Comparing large covariance matrices under weak conditions on the dependence structure

  • 12:30-2:00pm Lunch
  • 2:00-3:40pm Plenary Session #4 (Amphitheater)Chair: John Staudenmayer

Carroll, Raymond J.  Texas A&M University
A semiparametric single-index risk score across populations

Ma, Shujie University of California, Riverside
Estimation and inference in generalized additive coefficient models for nonlinear inter- actions with high-dimensional covariates

Sarkar, Abhra Duke University
Bayesian nonparametric methods for structured sequential data

  • 3:40-4:10pm Coffee Break
  • 4:10-5:30pm Closing Session (Amphitheater). Chair: Ji Zhu

Mueller, Hans-Georg University of California, Davis
Dynamic Modeling of Longitudinal Snippets

Zhang, Cun-Hui Rutgers University
Adaptive prediction in additive models