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Call for Papers: Special issue on fusion inference

Call for Papers: Special issue on fusion inference Call for Papers (wileyonlinelibrary.com) DOI: 10.1002/asmb.2153 Published online 10 January 2016 in Wiley Online Library Call for Papers: Special issue on fusion inference The official journal of the International Society for Business and Industrial Statistics, Applied Stochastic Models in Business and Industry (ASMBI), is inviting contributions for a special issue devoted to fusion inference for problems in business and industry. Fusion inference, sometimes called fusion learning, is the use of statistical methods for combining results from different studies. Meta-analysis is a well-known example of fusion inference. Combining reliability data across different test environments is another example. Fusion inference is of vital importance in light of the increasing trend to collect data from heterogeneous sources. Papers should present either innovative methodologies fusion inference, or forceful applications of existing methods. All submissions will go through the standard, selective review process of ASMBI. Submissions are possible until 30 April 2016 through the website (mc.manuscriptcentral.com/asmb). Please follow the ASMBI Author Guidelines given on the ASMBI website and indicate that the submission is for the “Data Fusion” special issue as requested during the submis- sion process. The Guest Editors of the special issue are Prof. Daniel R. Jeske (daniel.jeske@ucr.edu) and Prof. Min-ge Xie (mxie@stat.rutgers.edu). For any information about the ASMBI journal, please contact the Editor-in-Chief: Fabrizio Ruggeri (fabrizio@mi.imati.cnr.it). Copyright © 2016 John Wiley & Sons, Ltd. Appl. Stochastic Models Bus. Ind. 2016, 32 149 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Stochastic Models in Business and Industry Wiley

Call for Papers: Special issue on fusion inference

Applied Stochastic Models in Business and Industry , Volume 32 (1) – Jan 1, 2016

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Publisher
Wiley
Copyright
Copyright © 2016 John Wiley & Sons, Ltd.
ISSN
1524-1904
eISSN
1526-4025
DOI
10.1002/asmb.2153
Publisher site
See Article on Publisher Site

Abstract

Call for Papers (wileyonlinelibrary.com) DOI: 10.1002/asmb.2153 Published online 10 January 2016 in Wiley Online Library Call for Papers: Special issue on fusion inference The official journal of the International Society for Business and Industrial Statistics, Applied Stochastic Models in Business and Industry (ASMBI), is inviting contributions for a special issue devoted to fusion inference for problems in business and industry. Fusion inference, sometimes called fusion learning, is the use of statistical methods for combining results from different studies. Meta-analysis is a well-known example of fusion inference. Combining reliability data across different test environments is another example. Fusion inference is of vital importance in light of the increasing trend to collect data from heterogeneous sources. Papers should present either innovative methodologies fusion inference, or forceful applications of existing methods. All submissions will go through the standard, selective review process of ASMBI. Submissions are possible until 30 April 2016 through the website (mc.manuscriptcentral.com/asmb). Please follow the ASMBI Author Guidelines given on the ASMBI website and indicate that the submission is for the “Data Fusion” special issue as requested during the submis- sion process. The Guest Editors of the special issue are Prof. Daniel R. Jeske (daniel.jeske@ucr.edu) and Prof. Min-ge Xie (mxie@stat.rutgers.edu). For any information about the ASMBI journal, please contact the Editor-in-Chief: Fabrizio Ruggeri (fabrizio@mi.imati.cnr.it). Copyright © 2016 John Wiley & Sons, Ltd. Appl. Stochastic Models Bus. Ind. 2016, 32 149

Journal

Applied Stochastic Models in Business and IndustryWiley

Published: Jan 1, 2016

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