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Applied Stochastic Models in Business and Industry
Published by Wiley (John Wiley & Sons).
ISSN 1524-1904 / 1526-4025
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Aims & scope
Applied Stochastic Models in Business and Industry publishes peer-reviewed research. Manuscripts pass a technical check and a scope check by the handling editor before going to independent reviewers.
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Recently published
Untitled
DOI 10.1002/asmb.v42.6 Authors not listed · 2026
Discussion of “Modeling Power Outages Under a Random Environment: A Bayesian Approach”
DOI 10.1002/asmb.70138 Kimberly F. Sellers · 2026
Inference on the Realized Joint Laplace Transform of Volatility From High‐Frequency Data With Microstructure Noise
DOI 10.1002/asmb.70137 Li Wang, Qiang Liu, Zhi Liu · 2026
Dynamic Bayesian Networks with Conditional Dynamics in Edge Additions and Deletions
DOI 10.1002/asmb.70135 Lupe S. H. Chan, Amanda M. Y. Chu, Mike K. P. So · 2026
Issue Information
DOI 10.1002/asmb.70107 Authors not listed · 2026
Modeling Power Outages Under a Random Environment: A Bayesian Approach
DOI 10.1002/asmb.70132 Atilla Ay, Fabrizio Ruggeri, Refik Soyer · 2026
Untitled
DOI 10.1002/asmb.v42.5 Authors not listed · 2026
SEC Form N‐PORT: Insights on Fund Holdings Changes
DOI 10.1002/asmb.70130 Meredith Kruse, Katherine B. Ensor · 2026
On the Mixed Delta‐Shock Model With Dependencies
DOI 10.1002/asmb.70129 Maxim Finkelstein, Ji Hwan Cha · 2026
Foreword to the Special Issue on The Foundations of Applied Statistics
DOI 10.1002/asmb.70136 Ron S. Kenett, David M. Steinberg · 2026
From Cure Rate Models to Explainable Survival Analysis: SurvSHAP Based Insights for Credit Risk
DOI 10.1002/asmb.70128 Jacob Majakwara · 2026
Strategy for Data‐Based Problem Solving
DOI 10.1002/asmb.70134 Ronald D. Snee · 2026
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