MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Non-Profit Community Organization Employees: Registration fee: $35/workshop. Register for all 4 workshops and receive a discounted rate of $105 total. For-Profit Business Organizations Employees: ...

Indian American statistician to lead journal amid biosciences being transformed by powerful statistical, machine learning and ...

HIV and tuberculosis (TB) treatment programs have always relied on clinical trials to understand whether treatment ...

The number of published studies using the Delphi method has increased considerably in recent years. The Delphi method is now ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

A study by University of Liverpool researchers reveals that the species hardest to detect—those rarely seen, recorded, or ...

Researchers at North Carolina State University have developed a new suite of statistical methods that dramatically improves ...

After long-awaited government data showed underlying US inflation cooled to a four-year low in November, economists agreed on ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated ...