Statistical Modeling and Computation | Agenda Bookshop Skip to content
Online orders placed from 19/12 onward will not arrive in time for Christmas.
Online orders placed from 19/12 onward will not arrive in time for Christmas.
A01=Dirk P. Kroese
A01=Joshua C. C. Chan
Age Group_Uncategorized
Age Group_Uncategorized
Author_Dirk P. Kroese
Author_Joshua C. C. Chan
automatic-update
Category1=Non-Fiction
Category=PBT
Category=UFM
COP=United States
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Statistical Modeling and Computation

English

By (author): Dirk P. Kroese Joshua C. C. Chan

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

Joshua C. C. Chan is Professor of Economics, and holds the endowed Olson Chair at Purdue University. He is an elected fellow at the International Association for Applied Econometrics and served as Chair for the Economics, Finance and Business Section of the International Society for Bayesian Analysis from 2020-2022. His research focuses on building new high-dimensional time-series models and developing efficient estimation methods for these models. He has published over 50 papers in peer-reviewed journals, including some top-field journals such as Journal of EconometricsJournal of the American Statistical Association and Journal of Business and Economic Statistics.

Dirk Kroese is Professor of Mathematics and Statistics at the University of Queensland. He is known for his significant contributions to the fields of applied probability, mathematical statistics, machine learning, and Monte Carlo methods. He has published over 140 articles and 7 books. He is a pioneer of the well-known Cross-Entropy (CE) method, which is being used around the world to help solve difficult estimation and optimization problems in science, engineering, and finance.  In addition to his scholarly contributions, Dirk Kroese is recognized for his role as an educator and mentor, having supervised and inspired numerous students and researchers.

See more
Current price €116.84
Original price €122.99
Save 5%
A01=Dirk P. KroeseA01=Joshua C. C. ChanAge Group_UncategorizedAuthor_Dirk P. KroeseAuthor_Joshua C. C. Chanautomatic-updateCategory1=Non-FictionCategory=PBTCategory=UFMCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 21 Jan 2025

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 21 Jan 2025
  • Publisher: Springer-Verlag New York Inc.
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781071641316

About Dirk P. KroeseJoshua C. C. Chan

Joshua C. C. Chan is Professor of Economics and holds the endowed Olson Chair at Purdue University. He is an elected fellow at the International Association for Applied Econometrics and served as Chair for the Economics Finance and Business Section of the International Society for Bayesian Analysis from 2020-2022. His research focuses on building new high-dimensional time-series models and developing efficient estimation methods for these models. He has published over 50 papers in peer-reviewed journals including some top-field journals such as Journal of Econometrics Journal of the American Statistical Association and Journal of Business and Economic Statistics. Dirk Kroese is Professor of Mathematics and Statistics at the University of Queensland. He is known for his significant contributions to the fields of applied probability mathematical statistics machine learning and Monte Carlo methods. He has published over 140 articles and 7 books. He is a pioneer of the well-known Cross-Entropy (CE) method which is being used around the world to help solve difficult estimation and optimization problems in science engineering and finance.  In addition to his scholarly contributions Dirk Kroese is recognized for his role as an educator and mentor having supervised and inspired numerous students and researchers.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept