5 papers
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…
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…
Spatial distribution and determinants of childhood vaccination refusal in the United States
Bokgyeong Kang, Sandra Goldlust, Elizabeth C. Lee +3
Parental refusal and delay of childhood vaccination has increased in recent years in the United States. This phenomenon challenges maintenance of herd immunity and increases the ri…
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…
Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems
Bokgyeong Kang, John Hughes, Murali Haran
Models with intractable normalizing functions have numerous applications. Because the normalizing constants are functions of the parameters of interest, standard Markov chain Monte…