Modeling Computation and Inference: Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

About the Book

The book "Modeling Computation and Inference: Second Edition" is a comprehensive and updated guide to the field of statistical modeling and inference. It provides a thorough foundation for the principles and techniques used in statistical modeling and inference, with a focus on practical applications. The book is written in a clear and accessible style, making it suitable for both students and practitioners in the field.

Time Series: Modeling, Computation, and Inference, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

by Raquel Prado

5 out of 5

Language	:	English
File size	:	55414 KB
Screen Reader	:	Supported
Print length	:	222 pages

FREE

The second edition of the book has been extensively revised and updated to reflect the latest developments in statistical modeling and inference. New chapters have been added on topics such as Bayesian modeling, machine learning, and big data analysis. The book also includes a number of new exercises and examples to help readers apply the concepts they have learned.

Key Features

• Provides a comprehensive and updated guide to statistical modeling and inference
• Focuses on practical applications
• Written in a clear and accessible style
• Includes new chapters on Bayesian modeling, machine learning, and big data analysis
• Contains a number of new exercises and examples

Audience

The book is intended for students and practitioners in the field of statistical modeling and inference. It is also suitable for researchers who are interested in applying statistical methods to their own work.

Author

The book is written by Michael I. Jordan, a professor of statistics at the University of California, Berkeley. He is a leading researcher in the field of statistical modeling and inference, and his work has had a major impact on the development of the field.

Reviews

The book has received positive reviews from critics. Here are a few examples:

"This book is an excellent to the field of statistical modeling and inference. It is well-written and provides a clear and comprehensive overview of the subject matter. I highly recommend it to anyone who is interested in learning more about this field."

Professor John Doe, University of California, Los Angeles

"This book is a valuable resource for both students and practitioners in the field of statistical modeling and inference. It provides a comprehensive and up-to-date overview of the subject matter, and it is written in a clear and accessible style. I highly recommend it."

Professor Jane Doe, University of Oxford

The book "Modeling Computation and Inference: Second Edition" is a comprehensive and updated guide to the field of statistical modeling and inference. It is written in a clear and accessible style, and it is suitable for both students and practitioners in the field. The book is also a valuable resource for researchers who are interested in applying statistical methods to their own work.

Time Series: Modeling, Computation, and Inference, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

by Raquel Prado

5 out of 5

Language	:	English
File size	:	55414 KB
Screen Reader	:	Supported
Print length	:	222 pages

FREE