The journal of Applied Stochastic Models in Business and Industry (ASMBI) is inviting contributions for a special issue devoted to DATA SCIENCE IN BUSINESS AND INDUSTRY Statistical learning and stochastic modelling are the engines of data science. The models and methods help businesses use data to make better decisions. Information and communications technology has forever
We are happy to announce a “Digital Twins” Special Issue of the journal Applied Stochastic Models in Business and Industry (ASMBI), dedicated to the topical areas featured in the ENBIS 2023 Spring Meeting on Digital Twins (https://conferences.enbis.org/event/35/ ). Recent decades have seen a proliferation of computing power that has allowed for more accurate digital representations
The journal of Applied Stochastic Models in Business and Industry (ASMBI) is inviting contributions for a special issue devoted to DATA SCIENCE IN BUSINESS AND INDUSTRY Statistical learning and stochastic modelling are the engines of data science. The models and methods help businesses use data to make better decisions. Information and communications technology has forever
LATEST ISSUE – Volume 38, Issue 6 – November/December 2022 Editor-in-Chief: Fabrizio Ruggeri, CNR-IMATI, Milan, Italy | Editors: Rituparna Sen, Indian Statistical Institute, India | Emmanuel Yashchin, IBM, USA Impact factor (2021): 1.497 Journal Citation Reports (Clarivate, 2022): 73/108 (Mathematics, Interdisciplinary Applications)73/87 (Operations Research & Management Science)68/125 (Statistics & Probability) Online ISSN:1526-4025 © John Wiley &