ASMBI Call for Papers: Special Issue on Fusion Inference

Author: Irena Ograjenšek, Created 2015/11/22 23:20

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 April 30, 2016 through the website http://mc.manuscriptcentral.com/asmb. Please follow the ASMBI author submission guidelines given on the ASMBI website and clicking on the box about submissions for special issues, mentioning "Data Fusion” when requested. The Guest Editors of the special issue are Prof. Daniel R. Jeske (daniel.jeske@ucr.edu) and Prof Min-ge Xi (mxie@stat.rutgers.edu). For any information about the ASMBI journal, please contact the Editor-in-Chief Fabrizio Ruggeri (fabrizio@mi.imati.cnr.it).

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