A big part of his work is figuring out when a statistical method is truly the best choice. Some problems have straightforward ...

Okay. Good afternoon, everybody. Thank you for joining us. I'm Doug Tsao, Senior Analyst at H.C. Wainwright. We are thrilled today for what I think is a very unique event. We are joined by Professor ...

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 ...

In this module, we will introduce the basic conceptual framework for statistical modeling in general, and linear statistical models in particular. In this module, we will learn how to fit linear ...

This book, “Statistical Modeling and Computation,” provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of ...

William Chiu was part of the MSiA program’s first cohort in 2012. Now he’s vice president and head of statistical modeling for First Republic Bank. In late 2012, William Chiu (MSiA ‘13) took a break ...

A study of migrants in Italy has shown how statistical modeling can help improve the identification of neglected tropical disease (NTD) infections. NTDs are a group of 21 diseases that ...

S. Li and M. Amer, “Fast and Accurate Jitter Modeling for Statistical BER Analysis for Chiplet Interconnect and Beyond,” in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, doi: ...

Microelectromechanical systems (MEMS) are rapidly becoming an indispensable part of the design and fabrication of intelligent systems. Bridging the gap between the physical world and the electronic ...