In Print: ‘Statistical Modeling and Computation’

Joshua Chan, professor of economics and the Olson Professor in Management at Purdue University, and his published book “Statistical Modeling and Computation.”
Publication title
Statistical Modeling and Computation
Purdue author
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.