Row Exchangeability - Publications - Faculty & Research

March 2020
Article

Diagnosing Missing Always at Random in Multivariate Data

By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin

Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first... View Details

Keywords: Missing Data; Diagnostic Tools; Sensitivity Analysis; Hypothesis Testing; Missing At Random; Row Exchangeability; Analytics and Data Science; Mathematical Methods

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01 Sep 2023
News

Case Study: The Home Team

Illustration by Jon Krause Illustration by Jon Krause Brendan Kennealey (MBA 2006) wasn’t even searching for a business idea. A couple of years ago, the Wilmington, Delaware, native met up with an old friend who’d bought a new house. Over dinner this friend enumerated... View Details

Keywords: Jen McFarland Flint; Real Estate

02 Dec 2019
News

A Long-Standing Commitment to Global Understanding

Tom (MBA 1969) and Patricia Barry It was a given in Tom Barry’s family that, having done well in math and science in high school, he would pursue a degree in a related field as a student at Yale. But during his junior year, the Ohio native jumped at the chance to... View Details

01 Oct 2001
News

Q&A: Orin Smith

engineer for Boeing. At that time there were rows and rows of engineers sitting at desks, as far as you could see — it looked like an assembly line. After six months or so, I decided I didn't want to be one... View Details

Keywords: Hanna, Julia; Hospitality; Food and Beverage Stores; Retail Trade

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