Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study-Reference-Cited by-同舟云学术

Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study

Published:2019-03-24 Issue:4 Volume:68 Page:887-913
ISSN:0035-9254
Container-title:Journal of the Royal Statistical Society: Series C (Applied Statistics)
language:en
Short-container-title:J. R. Stat. Soc. C

Author:

Picchini Umberto¹,Forman Julie Lyng²

Affiliation:

1. Chalmers University of Technology and University of Gothenburg and Lund University Sweden

2. University of Copenhagen Denmark

Funder

Vetenskapsrådet

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssc.12347

Reference42 articles.

1. An Z. Nott D. J.andDrovandi C.(2018)Robust Bayesian synthetic likelihood via a semi‐parametric approach.Preprint arXiv:1809.05800. School of Mathematical Sciences Queensland University of Technology Brisbane.

2. The pseudo-marginal approach for efficient Monte Carlo computations

3. Mathematical Population Genetics

4. Betancourt M.(2017)A conceptual introduction to Hamiltonian Monte Carlo.Preprint arXiv:1701.02434.

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