A Hamiltonian Monte Carlo EM algorithm for generalized linear mixed models with spatial skew latent variables
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s00362-023-01419-y.pdf
Reference46 articles.
1. Alodat MT, Shakhatreh MK (2020) Gaussian process regression with skewed errors. J Comput Appl Math 370:112665
2. Azzalini A (1985) A class of distributions which includes the normal ones. Scand J Stat 12(2):171–178
3. Azzalini A, Capitanio A (1999) Statistical applications of the multivariate skew normal distribution. J R Stat Soc Ser B (Stat Methodol) 61(3):579–602
4. Azzalini A, Dalla-Valle A (1996) The multivariate skew-normal distribution. Biometrika 83:715–726
5. Betancourt M (2018) A conceptual introduction to Hamiltonian Monte Carlo. arXiv preprint. arXiv:1701.02434
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1. Flexible Closed Skew Normal Random Field to Analysis Skew Spatial Data;Journal of Statistical Sciences;2024-02-01
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