11 citations · 12 across the 4 of their papers we have counts for
4 papers
Erlang mixture modeling for Poisson process intensities
Hyotae Kim, Athanasios Kottas
We develop a prior probability model for temporal Poisson process intensities through structured mixtures of Erlang densities with common scale parameter, mixing on the integer sha…
Modelling for Poisson process intensities over irregular spatial domains
Chunyi Zhao, Athanasios Kottas
We develop nonparametric Bayesian modelling approaches for Poisson processes, using weighted combinations of structured beta densities to represent the point process intensity func…
A New Family of Error Distributions for Bayesian Quantile Regression
Yifei Yan, Athanasios Kottas
We propose a new family of error distributions for model-based quantile regression, which is constructed through a structured mixture of normal distributions. The construction enab…
Modeling for Dynamic Ordinal Regression Relationships: An Application to Estimating Maturity of Rockfish in California
Maria DeYoreo, Athanasios Kottas
We develop a Bayesian nonparametric framework for modeling ordinal regression relationships which evolve in discrete time. The motivating application involves a key problem in fish…