A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

张书聪，对外经济贸易大学统计学院数据科学系副教授，2018年博士毕业于上海财经大学，毕业之后进入北京大学从事博士后研究，主要研究方向为微生物组数据、成分数据、图模型等。研究成果发表在JASA，JMVA等国际权威期刊上。

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses. The restricted mean survival time (RMST) analysis technique was introduced in health care ...

Exploratory Factor Analysis (EFA) is a pivotal statistical approach that enables researchers to uncover latent structures in complex datasets, a process that is increasingly integral to higher ...

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 ...

Information on Earth's biodiversity is increasingly collected using DNA-, image- and audio-based sampling. At the same time, new statistical analysis methods are being developed to make more out of ...

Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have ...

Kevin Dayaratna was Director of the Center for Data Analysis and Chief Statistician for Heritage. A variety of statistical tools can detect potential breaches in the integrity of elections. These ...

Researchers have developed a machine learning model that could better measure baseball players' and teams' short- and long-term performance, compared to existing statistical analysis methods for the ...