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Concurrent

CS6e: Contributing to Knowledge in Statistics and Data Science

Fri, Nov 14, 11:35 AM - 1:00 PM Virtual Conference

4 Presentations

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models

11:35 AM - 1:05 PM

Co-authors: Xiufan Yu (University of Notre Dame), Xiufan Yu (University of Notre Dame)

causal panel data models counterfactual estimation heterogeneous treatment effects matrix completion multi-output autoencoders nonlinear factor models

Geometric Model Selection for Latent Space Network Models: Hypothesis Testing via Multidimensional Scaling and Resampling Techniques

11:35 AM - 1:05 PM

Co-authors: Jieyun Wang (University of Kentucky), Anna Smith (University of Kentucky), Jieyun Wang (University of Kentucky)

latent space model permutation test bootstrapping geodesic distance hyperbolic geometry

Model diagnostics for categorical data: a review of recent developments

11:35 AM - 1:05 PM

Co-authors: Adriana Gonzalez Sanchez, Dungang Liu (University of Cincinnati), Adriana Gonzalez Sanchez

Categorical data Graphical diagnostics Residual diagnostics

Robust estimation and selection for the semi-varying coefficients model

11:35 AM - 1:05 PM

Co-authors: Huybrechts Bindele (University of South Alabama), Olivia Atutey, Olivia Atutey

variable selection oracle property

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