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CRC Press Post-Shrinkage Strategies in Statistical and Machine Learning

9780367763442

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Description

Explore advanced methodologies in high dimensional data analysis with Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data. Published by CRC Press, this text focuses on the specialized field of econometrics and high dimensional data modeling. This resource provides a technical look at strategies used in statistical and machine learning environments. It is designed for those working within the intersection of economics and advanced mathematics, offering a deep dive into the complexities of high dimensional data sets. Whether you are studying econometrics or applying machine learning to complex datasets, this book serves as a dedicated reference for modern statistical techniques. By focusing on post-shrinkage strategies, the text addresses the specific needs of researchers and professionals dealing with large-scale data problems. It provides the necessary framework to understand how to refine models after initial shrinkage steps, improving the accuracy and reliability of statistical inferences in high dimensional settings.

Key Features

Focuses on post-shrinkage strategies specifically designed for high dimensional data environments.

Provides technical insights into statistical and machine learning applications for complex datasets.

Published by CRC Press, a recognized name in professional and academic technical literature.

Serves as a targeted resource for the field of econometrics and advanced data modeling.

Addresses the mathematical challenges found in modern high dimensional statistical analysis.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 May 2023
Listed Since
10 November 2022

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