Statistical modeling continues to deliver distinct value to businesses both independent of, and in concert with, machine learning. “Artificial intelligence” (AI) and “machine learning” are among 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 ...

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 ...

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 ...

Researchers have created a statistical method that may allow public health and infectious disease forecasters to better predict disease reemergence, especially for preventable childhood infections ...

Exposure to environmental noise is a major public health concern in urban areas. Chronic exposure to noise from road, rail, and air traffic has been linked to annoyance, sleep disturbance, ...

Throughout the years I have worked in credit and collections, either doing credit analysis related to commercial lending decisions or identifying the elements that should be weighed when reviewing ...

In a recent article published in the eLife Journal, researchers launched a possum excreta surveillance program across 350 km 2 in the Mornington Peninsula near South Melbourne, Australia. The study ...

Statistical modeling techniques that retailers and manufacturers use to find and target customers helped some prognosticators predict the outcome of this month’s U.S. elections with stunning accuracy.