Liu Jun, one of the world’s leading statisticians and a Harvard University professor since 2000, has left the U.S. to join ...

"We are committed to attracting leading scholars who can help propel Tsinghua towards becoming a world-class institution," Li stated. This sentiment reflects Tsinghua's ambition to harness the ...

How do you shape perception ethically when storytelling beats facts? Here is a case for ethical storytelling in our current ...

Director of the White House Economic Council adviser Kevin Hassett fired back at NBC host Kristen Welker on Sunday as the host pressed Hassett on President Donald Trump's decision to fire the Bureau ...

Bayesian methods for inference and prediction have become widespread in the social sciences (and beyond). Over the last decades, applied Bayesian modeling has evolved from a niche methodology with ...

Abstract: Estimating the probability of rare channel conditions is a central challenge in ultra-reliable wireless communication, where random events, such as deep fades, can cause sudden variations in ...

The fact that a non-trivial estimator cannot be both unbiased and the posterior mean has been used against unbiasedness property. I will argue that indeed these two concepts are complementary: bias is ...

This study explores the application of Bayesian econometrics in policy evaluation through theoretical analysis. The research first reviews the theoretical foundations of Bayesian methods, including ...

While the majority of stroke researchers use frequentist statistics to analyze and present their data, Bayesian statistics are becoming more and more prevalent in stroke research. As opposed to ...