Approximate Bayesian inference for discretely observed continuous‐time multi‐state models-Reference-Cited by-同舟云学术

Approximate Bayesian inference for discretely observed continuous‐time multi‐state models

Published:2019-04-03 Issue:3 Volume:75 Page:966-977
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Tancredi Andrea¹^ORCID

Affiliation:

1. Department of Methods and Models for Economics Territory and FinanceSapienza University of Rome Via del Castro Laurenziano 9, 00161 Rome Italy

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13019

Reference40 articles.

1. Bayesian analysis of a disability model for lung cancer survival

2. The rate of convergence for approximate Bayesian computation

3. Adaptive approximate Bayesian computation

4. New insights into Approximate Bayesian Computation

5. Statistical inference for discretely observed Markov jump processes

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