Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Beomjo Park"'
Publikováno v:
Journal of Statistical Software, Vol 90, Iss 1, Pp 1-41 (2019)
The Bayesian spectral analysis model (BSAM) is a powerful tool to deal with semiparametric methods in regression and density estimation based on the spectral representation of Gaussian process priors. The bsamGP package for R provides a comprehensive
Externí odkaz:
https://doaj.org/article/bb491c5c45af48848b6d6e09f8a658e8
Publikováno v:
Statistics and Its Interface. 13:237-249
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba6022a25037e010b184f1b86a089fb6
https://doi.org/10.4310/sii.2020.v13.n2.a8
https://doi.org/10.4310/sii.2020.v13.n2.a8
Autor:
Eunji Lee, Yeonseung Chung, Taeryon Choi, Jeongseon Kim, Beomjo Park, Seongil Jo, Jangwon Lee
Publikováno v:
Statistics in medicineREFERENCES. 40(16)
We propose Bayesian semiparametric mixed effects models with measurement error to analyze the literature data collected from multiple studies in a meta-analytic framework. We explore this methodology for risk assessment in cadmium toxicity studies, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26ed0745f094e30387b4df9acd1b6c80
https://pubmed.ncbi.nlm.nih.gov/33906261
https://pubmed.ncbi.nlm.nih.gov/33906261
Publikováno v:
Electron. J. Statist. 11, no. 2 (2017), 4258-4296
This paper presents a variational Bayes approach to a semiparametric regression model that consists of parametric and nonparametric components. The assumed univariate nonparametric component is represented with a cosine series based on a spectral ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d56578bfffe168ed121a683980e60c4
https://projecteuclid.org/euclid.ejs/1510111112
https://projecteuclid.org/euclid.ejs/1510111112
