Embarrassingly parallel sequential Markov-chain Monte Carlo for large sets of time series-Reference-Cited by-同舟云学术

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Embarrassingly parallel sequential Markov-chain Monte Carlo for large sets of time series

Published:2016 Issue:4 Volume:9 Page:497-508
ISSN:1938-7989
Container-title:Statistics and Its Interface
language:en
Short-container-title:

Author:

Casarin Roberto¹,Craiu Radu V.²,Leisen Fabrizio³

Affiliation:

1. Department of Economics, University Ca’Foscari of Venice, Italy

2. Department of Statistical Sciences, University of Toronto, Ontario, Canada

3. School of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, Kent, United Kingdom

Publisher

International Press of Boston

Subject

Applied Mathematics,Statistics and Probability

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference;Journal of Computational and Graphical Statistics;2021-06-18

2. Density Forecasting;Macroeconomic Forecasting in the Era of Big Data;2019-11-29

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