2 citations · 2 across the 3 of their papers we have counts for
6 papers
Joint spatio-temporal analysis of multiple response types using the hierarchical generalized transformation model with application to coronavirus disease 2019 and social distancing
Jonathan R. Bradley
Social distancing can be described as an effort to maintain a physical distance between individuals and has become a necessary public health measure to combat cornoavirus disease 2…
Bayesian Inference for Big Spatial Data Using Non-stationary Spectral Simulation
Hou-Cheng Yang, Jonathan R. Bradley
It is increasingly understood that the assumption of stationarity is unrealistic for many spatial processes. In this article, we combine dimension expansion with a spectral method…
What is the best predictor that you can compute in five minutes using a given Bayesian hierarchical model?
Jonathan R. Bradley
The goal of this paper is to provide a way for statisticians to answer the question posed in the title of this article using any Bayesian hierarchical model of their choosing and w…
Latent Multivariate Log-Gamma Models for High-Dimensional Multi-Type Responses with Application to Daily Fine Particulate Matter and Mortality Counts
Zhixing Xu, Jonathan R. Bradley, Debajyoti Sinha
Tracking and estimating Daily Fine Particulate Matter (PM2.5) is very important as it has been shown that PM2.5 is directly related to mortality related to lungs, cardiovascular sy…
Spatio-Temporal Models for Big Multinomial Data using the Conditional Multivariate Logit-Beta Distribution
Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan
We introduce a Bayesian approach for analyzing high-dimensional multinomial data that are referenced over space and time. In particular, the proportions associated with multinomial…
Multi-rubric Models for Ordinal Spatial Data with Application to Online Ratings from Yelp
Antonio R. Linero, Jonathan R. Bradley, Apurva Desai
Interest in online rating data has increased in recent years in which ordinal ratings of products or local businesses are provided by users of a website, such as Yelp or Amazon. On…