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Bayesian Computation for Log-Gaussian Cox Processes--A Comparative
  Analysis of Methods

Bayesian Computation for Log-Gaussian Cox Processes--A Comparative Analysis of Methods

3 January 2017
Ming Teng
F. Nathoo
T. Johnson
ArXiv (abs)PDFHTML

Papers citing "Bayesian Computation for Log-Gaussian Cox Processes--A Comparative Analysis of Methods"

6 / 6 papers shown
Title
K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
K2^22IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
Hideaki Kim
Tomoharu Iwata
Akinori Fujino
23
0
0
30 May 2025
A Non-homogeneous Count Process: Marginalizing a Poisson Driven Cox
  Process
A Non-homogeneous Count Process: Marginalizing a Poisson Driven Cox Process
Shuying Wang
S. Walker
22
0
0
14 Apr 2023
A randomized multi-index sequential Monte Carlo method
A randomized multi-index sequential Monte Carlo method
Xin Liang
Shangda Yang
S. Cotter
K. Law
104
2
0
27 Oct 2022
Multi-fidelity Monte Carlo: a pseudo-marginal approach
Multi-fidelity Monte Carlo: a pseudo-marginal approach
Diana Cai
Ryan P. Adams
60
6
0
04 Oct 2022
A Statistical Introduction to Template Model Builder: A Flexible Tool
  for Spatial Modeling
A Statistical Introduction to Template Model Builder: A Flexible Tool for Spatial Modeling
Aaron Osgood-Zimmerman
J. Wakefield
62
5
0
17 Mar 2021
Gibbs flow for approximate transport with applications to Bayesian
  computation
Gibbs flow for approximate transport with applications to Bayesian computation
J. Heng
Arnaud Doucet
Y. Pokern
OT
76
47
0
29 Sep 2015
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