A Randomized Pairwise Likelihood Method for Complex Statistical Inferences-Reference-Cited by-同舟云学术

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A Randomized Pairwise Likelihood Method for Complex Statistical Inferences

Published:2023-09-12 Issue: Volume: Page:1-11
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Mazo Gildas¹^ORCID,Karlis Dimitris²,Rau Andrea³⁴

Affiliation:

1. MaIAGE, INRAE, Université Paris Saclay, Jouy-en-Josas, France

2. Athens University of Economics and Business, Athens, Greece

3. Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France

4. BioEcoAgro Joint Research Unit, INRAE, Université de Liège, Université de Lille, Université de Picardie Jules Verne, Estrées-Mons, France

Funder

INRAE

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2023.2257367

Reference41 articles.

1. Efficient pairwise composite likelihood estimation for spatial-clustered data

2. Joint composite estimating functions in spatiotemporal models

3. A bivariate Poisson count data model using conditional probabilities

4. Statistical Analysis of Non-Lattice Data

5. Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach

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