Probability Distributions and Their Applications

Dear Colleagues,

Probability distributions are mathematical functions that describe the likelihood of different outcomes in an uncertain process or experiment. Probability distributions provide a powerful framework for understanding and modeling uncertainty in a wide range of fields. By carefully selecting and applying the right distribution, practitioners can make informed decisions, perform statistical analyses, and improve predictive modeling across various disciplines. They are fundamental in both theoretical and applied statistics, and are used in various fields like economics, engineering, computer science, finance, and natural sciences.

This Special Issue aims to bring together contributions from a wide variety of study fields, particularly statistics and mathematics, with applications in economics, engineering, computer science, finance, and natural sciences. The range of topics included in this Special Issue is broad, and theoretical and empirical contributions concerning any of the mentioned topics in the keywords are more than welcome. Moreover, this Special Issue is open to receiving further ideas, which are not included in the summary or keywords.

Dr. Weizhong Tian
Prof. Dr. Wei Ning
Dr. Cong Wang
Guest Editors

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