Author： Marnissi Yosra Chouzenoux Emilie Benazza-Benyahia Amel Pesquet Jean-Christophe
Publisher： MDPI
E-ISSN： 1099-4300|20|2|110-110
ISSN： 1099-4300
Source： Entropy, Vol.20, Iss.2, 2018-02, pp. : 110-110
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Related content
Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions
By Livingstone Samuel Girolami Mark
Entropy, Vol. 16, Iss. 6, 2014-06 ,pp. :
Access to resources
Recommend
Improving Markov Chain Monte Carlo algorithms in LISA Pathfinder Data Analysis
Journal of Physics: Conference Series , Vol. 363, Iss. 1, 2012-06 ,pp. :
Utilizing Network Structure to Accelerate Markov Chain Monte Carlo Algorithms
By Askarian Ahmad Xu Rupei Faragó András
Algorithms, Vol. 9, Iss. 3, 2016-07 ,pp. :
By Moon Hyun Ho Lee Jong Joo Choi Sang Yule Cha Jae Sang Kang Jang Mook Kim Jong Tae Shin Myong Chul
Sensors, Vol. 11, Iss. 8, 2011-08 ,pp. :
An adaptive Monte-Carlo Markov chain algorithm for inference from mixture signals
Journal of Physics: Conference Series , Vol. 368, Iss. 1, 2012-06 ,pp. :