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Customer Needs and Solutions
Erschienen in: Customer Needs and Solutions 3/2014

01.09.2014 | Perspectives

Perspectives on Bayesian Methods and Big Data

verfasst von: Greg M. Allenby, Eric T. Bradlow, Edward I. George, John Liechty, Robert E. McCulloch

Erschienen in: Customer Needs and Solutions | Ausgabe 3/2014

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Abstract

Researchers and practitioners are facing a world with ever-increasing amounts of data and analytic tools, such as Bayesian inference algorithms, must be improved to keep pace with technology. Bayesian methods have brought substantial benefits to the discipline of Marketing Analytics, but there are inherent computational challenges with scaling them to Big Data. Several strategies with specific examples using additive regression trees and variable selection are discussed. In addition, the important observation is made that there are limits to the type of questions that can be answered using most of the Big Data available today.
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Metadaten
Titel
Perspectives on Bayesian Methods and Big Data
verfasst von
Greg M. Allenby
Eric T. Bradlow
Edward I. George
John Liechty
Robert E. McCulloch
Publikationsdatum
01.09.2014
Verlag
Springer US
Erschienen in
Customer Needs and Solutions / Ausgabe 3/2014
Print ISSN: 2196-291X
Elektronische ISSN: 2196-2928
DOI
https://doi.org/10.1007/s40547-014-0017-9

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