In Print: ‘Statistical Modeling and Computation’

Publication title

Statistical Modeling and Computation

Purdue author

Joshua Chan

Authors

Joshua Chan

Dirk Kroese

Publisher

Springer Nature

Publication date

January 22, 2025

About the book (from the publisher)

This book, “Statistical Modeling and Computation,” provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of mathematical statistics and modern statistical computation, emphasizing statistical modeling, computational techniques and applications.

The 2nd edition changes the programming language used in the text from MATLAB to Julia. For all examples with computing components, the authors provide data sets and their own Julia codes. The new edition features numerous full-color graphics to illustrate the concepts discussed in the text and adds three entirely new chapters on a variety of popular topics, including:

• Regularization and the Lasso regression
• Bayesian shrinkage methods
• Nonparametric statistical tests
• Splines and the Gaussian process regression

About the Purdue author

Joshua Chan is a professor of economics and the Olson Professor in Management at Purdue University. He is an associate editor of the Journal of Business and Economic Statistics, the Journal of Applied Econometrics and Stochastic Models. Chan’s research focuses on building new high-dimensional time-series models for macroeconomic forecasting, especially “nowcasting” U.S. GDP.