Invited Paper Session

JCGS Invited Session

Tue, Aug 5, 2:00 PM - 3:50 PM Room CC-104A Music City Center

Yuguo ChenOrganizerLaura Maria SangalliOrganizerYuguo ChenChair

Journal of Computational and Graphical Statistics co: Section on Statistical Graphicsco: Section on Statistical Computing

4 Presentations

Deeply Learned Generalized Linear Models with Missing Data

2:05 PM - 2:30 PM

Naim Rashid (UNC Chapel Hill)

Co-authors: Joseph Ibrahim (University of North Carolina)

Deep Learning Missing Data Variational Inference Supervised Learning MNAR Generalized Linear Models

Efficient general hidden Markov model inference with conditional particle filters and bridge backward sampling

2:30 PM - 2:55 PM

Matti Vihola (University of Jyväskylä)

conditional particle filter, Gaussian approximation, hidden Markov model, general state-space model, Markov chain Monte Carlo, mixing time

Improving Point Process Modelling: Accounting for Spatial Dependencies with Local Second-Order Statistics and Inhomogeneous Mark-Weighted Summary Statistics

2:55 PM - 3:20 PM

Giada Adelfio (University of Palermo)

Co-authors: nicoletta d'angelo (university of palermo), Ottmar Cronie (Chalmers University of Technology and University of Gothenburg, Sweden), Jorge Mateu (University Jaume I, Castellon, Spain)

Spatial Point process Local Indicators of Spatial Association (LISA)Inhomogeneous Mark-Weighted Function Composite likelihood spatial dependencies Random labelling

Structured Shrinkage Priors

3:20 PM - 3:45 PM

Maryclare Griffin

Co-authors: Peter Hoff (Duke University)