Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Wang, Yuchung J."'
Autor:
Kuo, Kun-Lin, Wang, Yuchung J.
The Gibbs sampler (GS) is a crucial algorithm for approximating complex calculations, and it is justified by Markov chain theory, the alternating projection theorem, and $I$-projection, separately. We explore the equivalence between these three opera
Externí odkaz:
http://arxiv.org/abs/2410.09559
Autor:
Kuo, Kun-Lin, Wang, Yuchung J.
The sample-based Gibbs sampler has been the dominant method for approximating joint distribution from a collection of compatible full-conditional distributions. However for conditionally specified model, mixtures of incompatible full and non-full con
Externí odkaz:
http://arxiv.org/abs/2307.00219
Autor:
Kuo, Kun-Lin1 (AUTHOR), Wang, Yuchung J.2 (AUTHOR) yuwang@camden.rutgers.edu
Publikováno v:
Methodology & Computing in Applied Probability. Mar2023, Vol. 25 Issue 1, p1-17. 17p.
Autor:
Kuo, Kun-Lin, Wang, Yuchung J.
Publikováno v:
In Journal of Multivariate Analysis September 2018 167:171-180
Autor:
Kuo, Kun-Lin1 klkuo@nuk.edu.tw, Wang, Yuchung J.2 yuwang@camden.rutgers.edu
Publikováno v:
Annals of the Institute of Statistical Mathematics. Feb2019, Vol. 71 Issue 1, p93-105. 13p.
Autor:
Wang, Yuchung J., Ip, Edward H.
Publikováno v:
Biometrika, 2008 Sep 01. 95(3), 735-746.
Externí odkaz:
https://www.jstor.org/stable/20441498
Autor:
Kuo, Kun-Lin, Wang, Yuchung J.
Publikováno v:
In Computational Statistics and Data Analysis 2011 55(8):2457-2462
Publikováno v:
In Computational Statistics and Data Analysis 2011 55(4):1760-1769
Autor:
Wang, Yuchung J.
Publikováno v:
Biometrika, 2004 Mar 01. 91(1), 234-239.
Externí odkaz:
https://www.jstor.org/stable/20441092
Autor:
Wang, Yuchung J., Kuo, Kun-Lin
Publikováno v:
In Journal of Multivariate Analysis 2010 101(1):191-199