Bayesian and Frequentist Regression Approaches for Very Large Data Sets

Bayesian and Frequentist Regression Approaches for Very Large Data Sets
Author :
Publisher :
Total Pages :
Release :
ISBN-10 : OCLC:1137012525
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Bayesian and Frequentist Regression Approaches for Very Large Data Sets by : Leo Nikolaus Geppert

Download or read book Bayesian and Frequentist Regression Approaches for Very Large Data Sets written by Leo Nikolaus Geppert and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


Bayesian and Frequentist Regression Approaches for Very Large Data Sets Related Books

Bayesian and Frequentist Regression Approaches for Very Large Data Sets
Language: en
Pages:
Authors: Leo Nikolaus Geppert
Categories:
Type: BOOK - Published: 2018 - Publisher:

DOWNLOAD EBOOK

Bayesian and Frequentist Regression Methods
Language: en
Pages: 700
Authors: Jon Wakefield
Categories: Mathematics
Type: BOOK - Published: 2013-01-04 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or t
Bayesian Statistical Methods
Language: en
Pages: 197
Authors: Brian J. Reich
Categories: Mathematics
Type: BOOK - Published: 2019-04-12 - Publisher: CRC Press

DOWNLOAD EBOOK

Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses o
Frontiers in Massive Data Analysis
Language: en
Pages: 191
Authors: National Research Council
Categories: Mathematics
Type: BOOK - Published: 2013-09-03 - Publisher: National Academies Press

DOWNLOAD EBOOK

Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Coll
Bayesian and Frequentist Regression Methods
Language: en
Pages: 720
Authors: Springer
Categories:
Type: BOOK - Published: 2013-01-04 - Publisher:

DOWNLOAD EBOOK