A Spatiotemporal Gamma Shot Noise Cox Process
F Bassetti, R Casarin, M Iacopini - arXiv preprint arXiv:2308.08481, 2023 - arxiv.org
A new discrete-time shot noise Cox process for spatiotemporal data is proposed. The
random intensity is driven by a dependent sequence of latent gamma random measures …
random intensity is driven by a dependent sequence of latent gamma random measures …
[HTML][HTML] Bayesian nonparametric Erlang mixture modeling for survival analysis
Y Li, J Lee, A Kottas - Computational Statistics & Data Analysis, 2024 - Elsevier
Abstract Development of a flexible Erlang mixture model for survival analysis is introduced.
The model for the survival density is built from a structured mixture of Erlang densities …
The model for the survival density is built from a structured mixture of Erlang densities …
[PDF][PDF] Lagrangian Spatio-Temporal Covariance Functions for Multivariate Nonstationary Random Fields
MLO Salvaña - 2021 - repository.kaust.edu.sa
The modeling of spatio-temporal and multivariate spatial random fields has been an
important and growing area of research due to the increasing availability of spacetime …
important and growing area of research due to the increasing availability of spacetime …
Discussion of paper “nonparametric Bayesian inference in applications” by Peter Müller, Fernando A. Quintana and Garritt L. Page
A Kottas - Statistical Methods & Applications, 2018 - Springer
Discussion of paper “nonparametric Bayesian inference in applications” by Peter Müller,
Fernando A. Quintana and Garritt L. Page | SpringerLink Skip to main content Advertisement …
Fernando A. Quintana and Garritt L. Page | SpringerLink Skip to main content Advertisement …