Applied Probability, Statistics and Operational Research

Dear Colleagues,

In the era of big data, a significant amount of research efforts has been devoted to the inter-discipline of applied probability, statistics, and operations research, with new methodologies and theories developed to resolve real-life problems. The focus of this Special Issue is oriented toward, but not limited to, the asymptotic analysis and optimization of probabilistic models, the development of novel statistical inference methods, as well as the data-driven decision-making process. Applications of new analytical tools to interesting real-life scenarios are also welcome. This Special Issue aims to provide a platform for researchers in the three disciplines to share their recent advances related to the fields and discuss insights into future research opportunities and challenges.

Dr. Tiandong Wang
Dr. Lizhen Lin
Dr. Zifeng Zhao
Guest Editors

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