Do We Let Businesses Get away with Dodgy Ethics and Loose Morals? An Application of Markov Random Fields
Moinak Bhaduri For a moment, look at the society we form. What’s the glue that binds the key players? The force that keeps the arrangement from collapsing? What makes the entire structure throb? Think awhile, and you’ll realize it’s not the actors but dependence—a reliance among them that makes up the key fabric. Take that […]
Articles
Remembering Ralph B. D’Agostino Sr.
Usha Govindarajulu This article gathers heartfelt remembrances from colleagues, family, and former students of Ralph B. D’Agostino Sr. who recall not only his many significant scientific contributions but also his unwavering dedication to mentoring the next generation of statisticians. This article begins with a brief biography. Then, through remembrances, we celebrate the profound impact D’Agostino […]
Reading Harry Potter in French: Using Regression to Evaluate Foreign Language Vocabulary Learning by an Old Guy
Joseph Lee Rodgers Can old people learn a new language? Can the author of this article, a particular old person, improve his French enough to matter? A perusal of articles in popular and research literature about language learning and aging suggests changes in the answers to these questions over time. A few decades ago, age […]
Letters to the Editor—Vol. 37, No. 3
Welcome to our Letters to the Editor column. The goal of this column is to foster respectful debate and encourage engaging conversations. Through thoughtful discourse, readers can voice their views, share insights, and engage with one another in meaningful dialogue. We believe constructive discussion can illuminate new ideas, bridge differences, and inspire change. Join us […]
The Illusion of Randomness: Evaluating Student Sampling Performance
Wenqi Zeng, Zhaolin Li, Kelly Findley, and Stephen Portnoy Randomness is a critical concept in the study of statistics, both for everyday consumers of statistical information and producers of statistical analyses. However, students at all levels do not always hold concept images that translate to nonuniform or complex sampling contexts. In this article, we explore […]
How to Model It: Pólya’s Forgotten Lesson Transcribed for Statistics and Data Science
Miguel de Carvalho George Pólya’s massive influence on modern statistics and data science can be easily noticed from the number of concepts and methods that are named after his name—such as Pólya trees, the Pólya urn, the Pólya–Gamma distribution, and so on.
