338 citations · 1.3k across the 43 of their papers we have counts for
7 papers · 1 filter
Bayesian Modeling and Prediction of Generalized Contact Matrices
Shozen Dan, David A. van Dyk, Zhi Ling +2
Social contact matrices are essential tools in infectious disease epidemiology as they quantify close-range human contact patterns which directly drive the transmission of airborne…
Bayesian model selection in additive partial linear models via locally adaptive splines
Seonghyun Jeong, Taeyoung Park, David A. van Dyk
We provide a flexible framework for selecting among a class of additive partial linear models that allows both linear and nonlinear additive components. In practice, it is challeng…
Testing One Hypothesis Multiple Times: The Multidimensional Case
Sara Algeri, David A. van Dyk
The identification of new rare signals in data, the detection of a sudden change in a trend, and the selection of competing models, are among the most challenging problems in stati…
Testing One Hypothesis Multiple times
Sara Algeri, David A. van Dyk
In applied settings, tests of hypothesis where a nuisance parameter is only identifiable under the alternative often reduces into one of Testing One Hypothesis Multiple times (TOHM…
A Repelling-Attracting Metropolis Algorithm for Multimodality
Hyungsuk Tak, Xiao-Li Meng, David A. van Dyk
Although the Metropolis algorithm is simple to implement, it often has difficulties exploring multimodal distributions. We propose the repelling-attracting Metropolis (RAM) algorit…
Causal Inference in Observational Studies with Non-Binary Treatments
Shandong Zhao, David A. van Dyk, Kosuke Imai
Propensity score methods have become a part of the standard toolkit for applied researchers who wish to ascertain causal effects from observational data. While they were originally…
Cross-Fertilizing Strategies for Better EM Mountain Climbing and DA Field Exploration: A Graphical Guide Book
David A. van Dyk, Xiao-Li Meng
In recent years, a variety of extensions and refinements have been developed for data augmentation based model fitting routines. These developments aim to extend the application, i…