Copula models have emerged as a pivotal tool in modern statistical analysis by enabling researchers to disentangle marginal behaviours from their joint dependency structures. This flexibility is ...

Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

Do Large Language Models (Really) Need Statistical Foundations? Dr. Linglong Kong is a Professor in the Department of ...

Cover -- Title Page -- Copyright Page -- Table of Contents -- Acknowledgments -- 1 Introduction and Background -- 1.1 Introduction -- 1.2 What This Book Is Not About ...

Nondestructive testing (NDT) techniques have been used for a long time in the safety assessment and life management of structures and components. Various forms of statistical analysis have been ...

The Annals of Applied Statistics, Vol. 7, No. 2 (June 2013), pp. 799-822 (24 pages) Sparse latent multi-factor models have been used in many exploratory and predictive problems with high-dimensional ...

The Center for Statistics and Advanced Analytics provides support to Boston College researchers related to the collection and the analysis of data. Our team includes statisticians and other data ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

Thomas J Catalano is a CFP and Registered Investment Adviser with the state of South Carolina, where he launched his own financial advisory firm in 2018. Thomas' experience gives him expertise in a ...