We review basic modeling approaches for failure and maintenance data from repairable systems. In particular we consider imperfect repair models, defined in terms of virtual age processes, and the ...

Although catastrophe theory has been applied with mixed success to many problems in the biosciences, very few of these applications have used any form of statistical modeling. We present examples of ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

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 ...

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 ...

Statistical modeling, a simplified, mathematically formalized way to approximate reality and then make predictions based on that approximation, has been around in some form since the 1970s, but it is ...

A statistical model is a formalization of relationships between variables in the form of mathematical equations. A statistical model describes how one or more random variables are related to one or ...