Bayesian Markov chain Monte Carlo imputation for the transiting exoplanets with an application in clustering analysis

DOI10.1080/02664763.2014.995609OpenAlexW2064950356MaRDI QIDQ5130231

Huei-Wen Teng, Yen-Ju Chao, Wen-Liang Hung

Publication date: 4 November 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2014.995609

zbMATH Keywords

copulamissing datametropolis-Hastings algorithmhot jupiterstransiting exoplanets

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• An introduction to copulas. Properties and applications
• Inference from iterative simulation using multiple sequences
• Nearest neighbours in least-squares data imputation algorithms with different missing patterns
• An efficient proposal distribution for Metropolis-Hastings using a \(B\)-splines technique
• Frank's family of bivariate distributions
• A Parametric Model for Cluster Correlated Categorical Data
• Monte Carlo strategies in scientific computing

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