Fast, approximate MCMC for Bayesian analysis of large data sets: A design based approach
Year of publication: |
2016
|
---|---|
Authors: | Kaeding, Matthias |
Publisher: |
Essen : RWI - Leibniz-Institut für Wirtschaftsforschung |
Subject: | Bayesian inference | big data | approximate MCMC | survey sampling |
Series: | Ruhr Economic Papers ; 660 |
---|---|
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
ISBN: | 978-3-86788-766-3 |
Other identifiers: | 10.4419/86788766 [DOI] 873685229 [GVK] hdl:10419/148310 [Handle] RePEc:zbw:rwirep:660 [RePEc] |
Classification: | C11 - Bayesian Analysis ; c55 ; C83 - Survey Methods; Sampling Methods |
Source: |
-
Fast, approximate MCMC for Bayesian analysis of large data sets : a design based approach
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