Fast likelihood‐based inference for latent count models using the saddlepoint approximation-Reference-Cited by-同舟云学术

Fast likelihood‐based inference for latent count models using the saddlepoint approximation

Published:2019-04-04 Issue:3 Volume:75 Page:723-733
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Zhang W.¹^ORCID,Bravington M. V.²^ORCID,Fewster R. M.¹^ORCID

Affiliation:

1. Department of StatisticsUniversity of Auckland Private Bag 92019 Auckland New Zealand

2. CSIRO Marine Lab GPO Box 1538 Hobart TAS 7001 Australia

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.13030

Reference28 articles.

1. A new look at the statistical model identification

2. Asymptotic Techniques for Use in Statistics

3. Extending the latent multinomial model with complex error processes and dynamic Markov bases

4. Accurate Parametric Inference for Small Samples

5. Saddlepoint Approximations with Applications

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