Wind behavior in complex mountainous terrain exhibits a pronounced directional confinement that challenges conventional ...

A cross-sectional study of 106 older adults found that an association between cognitive status and physical performance was ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

This course is available on the Erasmus Reciprocal Programme of Study and Exchange Programme for Students from University of California, Berkeley. This course is freely available as an outside option ...

Modeling positive-support and heavy-tailed data is a fundamental problem in reliability engineering and predictive maintenance. In this study, we introduced the Epanechnikov–Pearson Type V (EPV) ...

Bayesian statistical models have become indispensable for analysing data with more predictors than observations, a scenario often termed “large p, small n.” By incorporating prior information, these ...

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 ...

Statistical analysis and predictive modelling of student academic outcomes to support early intervention. - DanielSpouge/Identifying-Students-at-Risk---Statistical-Analysis-and-Predictive-Modelling ...

This introductory course gives students the basic skills to organize and summarize data, along with an introduction to the fundamental principles of statistical inference. The course emphasizes an ...