Exact Bayesian Inference for Diffusion-Driven Cox Processes
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Publication:6631689
DOI10.1080/01621459.2023.2223791MaRDI QIDQ6631689
G. O. Roberts, Krzysztof Łatuszyński, Flávio B. Gonçalves
Publication date: 1 November 2024
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- A general framework for the parametrization of hierarchical models
- Latent diffusion models for survival analysis
- Jumps in intensity models: investigating the performance of Ornstein-Uhlenbeck processes in credit risk modeling
- A factorisation of diffusion measure and finite sample path constructions
- Cox point processes driven by Ornstein-Uhlenbeck type processes
- Pricing of catastrophe reinsurance and derivatives using the Cox process with shot noise intensity
- Statistical analysis of spatial and spatio-temporal point patterns
- Exact and Computationally Efficient Likelihood-Based Estimation for Discretely Observed Diffusion Processes (with Discussion)
- Log Gaussian Cox Processes
- Exact Bayesian Inference in Spatiotemporal Cox Processes Driven by Multivariate Gaussian Processes
- Markov Chain Monte Carlo for Exact Inference for Diffusions
- Simulating events of unknown probabilities via reverse time martingales
- Stochastic differential equations. An introduction with applications.
- Exact Monte Carlo likelihood-based inference for jump-diffusion processes
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