Journal Report

APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY

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Journal Information
Journal Title
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
Publisher
WILEY
ISSN
1524-1904
E-ISSN
1526-4025
Database
Clarivate
Domain
Physical Sciences, Social Sciences
Classification History
Year A+ A B C
2026 ✓ ✓
2025 ✓ ✓
2024 ✓ ✓
2023 ✓ ✓
2021/2022 ✓ ✓
2020 ✓ ✓
2019 ✓ ✓
2018 ✓
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Recent Articles
Discussion of “Modeling Power Outages Under a Random Environment: A Bayesian Approach”
Thomas A. Mazzuchi
2026-10-30 Vol. 42 Issue 6
Discussion of “Modeling Power Outages Under a Random Environment: A Bayesian Approach”
Kimberly F. Sellers
2026-10-25 Vol. 42 Issue 6
Inference on the Realized Joint Laplace Transform of Volatility From High‐Frequency Data With Microstructure Noise
Li Wang, Qiang Liu, Zhi Liu
2026-10-20 Vol. 42 Issue 6
Dynamic Bayesian Networks with Conditional Dynamics in Edge Additions and Deletions
Lupe S. H. Chan, Amanda M. Y. Chu, Mike K. P. So
2026-10-15 Vol. 42 Issue 6
Issue Information
2026-10-15 Vol. 42 Issue 6
Modeling Power Outages Under a Random Environment: A Bayesian Approach
Atilla Ay, Fabrizio Ruggeri, Refik Soyer
2026-9 Vol. 42 Issue 5
SEC Form N‐PORT: Insights on Fund Holdings Changes
Meredith Kruse, Katherine B. Ensor
2026-9 Vol. 42 Issue 5
On the Mixed Delta‐Shock Model With Dependencies
Maxim Finkelstein, Ji Hwan Cha
2026-9 Vol. 42 Issue 5
Foreword to the Special Issue on The Foundations of Applied Statistics
Ron S. Kenett, David M. Steinberg
2026-9 Vol. 42 Issue 5
From Cure Rate Models to Explainable Survival Analysis: SurvSHAP Based Insights for Credit Risk
Jacob Majakwara
2026-9 Vol. 42 Issue 5
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Printed: November 2, 2026 04:22