New Perspectives in Flexible Probability Distributions and Its Applications

Dear Colleagues,

Probability distributions are the building blocks of statistical modeling and inference. It is therefore of the utmost importance to know which distribution to use in what circumstances, as wrong choices will inevitably result in a biased analysis. A plethora of new distributions are constantly being proposed, and it is important to be able to compare them and guide practitioners as to which distribution to use when. In this Special Issue, we therefore invite authors to contribute papers that either compare existing distributions or propose new ones. The comparison as well as the newly proposed distributions should be considered within the context of the desiderata of flexible probability distributions: versatility, interpretability, tractability, random number generation, straightforward parameter estimation, and model reduction. These properties should be used to ensure that new models have advantages over existing ones. We hope to see many interesting contributions that explore either real lines, positive real half-lines (including censoring), integers, circles, spheres, toruses, cylinders, or other manifolds.

Dr. Christophe Ley
Guest Editor

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• distribution theory
• flexible modelling
• modality
• moments
• parameter estimation
• random number generation