Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD point 990 Ft DPD courier 1 190 Ft GLS point 1 190 Ft Hungarian Post 1 795 Ft Hungarian Post 1 690 Ft Hungarian Post 1 690 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft GLS courier 1 690 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

High-dimensional Data Analysis

Name: High-dimensional Data Analysis
Brand: World Scientific Publishing Co Pte Ltd
SKU: 05070284
Price: 43345 HUF
Availability: InStock
Author: T. Tony Cai
ISBN: 9789814324854

T. Tony Cai

Xiaotong Shen

Language

English

Book Hardback

Libristo code: 05070284

Publishers World Scientific Publishing Co Pte Ltd, December 2010

Over the last few years, significant developments have been taking place in high-dimensional data an... Full description

Libristo code: 05070284

291 b

43 345 Ft

In stock at our supplier Shipping in 10-13 days

Up to 30 days for returns

Customers also purchased

Fühlen, Denken, Handeln Gerhard Roth

Paperback

10 625 Ft

Sari Kalp ve Kirmizi Günes Ioanna Babeta

Paperback

4 371 Ft

And the Winner Isn't Talco

Audio CD

6 578 Ft

Bibliotheca Geographica Otto Baschin

Paperback

12 681 Ft

Glebokie wykopy Siemińska-Lewandowska Anna

Paperback

7 072 Ft

Celibato y La Reencarnacion Manuel Ildefonso Oyervides Rodriguez

Paperback

5 176 Ft

Over the last few years, significant developments have been taking place in high-dimensional data analysis, driven primarily by a wide range of applications in many fields such as genomics and signal processing. In particular, substantial advances have been made in the areas of feature selection, covariance estimation, classification and regression. This book intends to examine important issues arising from high-dimensional data analysis to explore key ideas for statistical inference and prediction. It is structured around topics on multiple hypothesis testing, feature selection, regression, classification, dimension reduction, as well as applications in survival analysis and biomedical research. This book will appeal to graduate students and new researchers interested in the plethora of opportunities available in high-dimensional data analysis.