Applied Stochastic Models in Business and Industry
John Wiley and Sons Ltd · United Kingdom · Est. 1999
Aims & Scope✦ Inferred from recent articles
The journal publishes research on stochastic models applied to business and industry. Topics include innovation diffusion, factor screening in experiments, greenhouse gas emission estimation in the oil and gas sector, electricity price volatility, product reliability, insider trading models, behavioral finance, time series analysis of count data, system reliability, financial modeling, systemic risk measures, interest rate modeling, explainable artificial intelligence, cluster analysis, compositional data analysis, sentiment analysis of user reviews, technological learning and diffusion, and predictive maintenance.
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