Ken Gerow, professor emeritus of the University of Wyoming’s Department of Mathematics and Statistics, has co-written a new ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...

Bayesian quantile regression and statistical modelling represent a growing paradigm in contemporary data analysis, extending conventional regression by estimating various conditional quantiles rather ...

This course covers the ideas underlying statistical modelling, its implementation through computational methods, and links to practical applications. Topics include probability and random variables, ...

Throughout the years I have worked in credit and collections, either doing credit analysis related to commercial lending decisions or identifying the elements that should be weighed when reviewing ...

Professor Ngai Hang Chan, Head and Chair Professor from CityU’s Department of Biostatistics, and his team is working on developing an innovative “Interpretable Artificial Intelligence (IAI)” framework ...

In education randomized control trials (RCTs), the misreporting of student outcome data could lead to biased estimates of average treatment effects (ATEs) and their standard errors. This article ...