3 papers
stat.ME2026
Algorithms for Models with Intractable Normalizing Functions
Murali Haran, Bokgyeong Kang, Jaewoo Park
In this paper we discuss a well known computing problem -- inference for models with intractable normalizing functions. Models with intractable normalizing functions arise in a wid…
stat.ME2023
Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
Bokgyeong Kang, John Hughes, Murali Haran
Count data with complex features arise in many disciplines, including ecology, agriculture, criminology, medicine, and public health. Zero inflation, spatial dependence, and non-eq…
stat.AP2021
A Space-time Model for Inferring A Susceptibility Map for An Infectious Disease
Xiaoxiao Li, Matthew Ferrari, Michael J. Tildesley +1
Motivated by foot-and-mouth disease (FMD) outbreak data from Turkey, we develop a model to estimate disease risk based on a space-time record of outbreaks. The spread of infectious…