MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03399cam a22004338i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
22980286 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251231143709.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
230218s2023 flu b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2022052687 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780367763442 (hbk.) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
22980286 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
LBSOR |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
JKRC |
| Modifying agency |
DLC |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.310727 |
| Edition number |
23 |
| Item number |
AHM.S |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ahmed, Syed Ejaz. |
| Relator term |
author. |
| 9 (RLIN) |
38228 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data / |
| Statement of responsibility, etc. |
by Syed Ejaz Ahmed, Feryaal Ahmed, and Bahadir Yuzbasi. |
| Medium |
English. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Boca Raton : |
| Name of publisher, distributor, etc. |
CRC Press Taylor & Francis Group, |
| Date of publication, distribution, etc. |
2023. |
| 263 ## - PROJECTED PUBLICATION DATE |
|---|
| Projected publication date |
2312 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxix, 378 p. ; |
| Dimensions |
26 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
125.00 |
| Currency code |
Pound |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introduction to machine learning -- Post shrinkage strategies in sparse regression models -- Shrinkage strategies in high-dimensional regression models -- Shrinkage estimation strategies in partially linear models -- Shrinkage strategies : generalized linear models -- Post shrinkage strategy in sparse linear mixed models -- Shrinkage estimation in sparse nonlinear regression models -- Shrinkage strategies in sparse robust regression models -- Liu-type shrinkage estimations in linear sparse models. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science. It combines statistical learning and machine learning techniques in a unique and optimal way. It is well-known that machine learning methods are subject to many issues relating to bias, and consequently the mean squared error and prediction error may explode. For this reason, we suggest shrinkage strategies to control the bias by combining a submodel selected by a penalized method with a model with many features. Further, the suggested shrinkage methodology can be successfully implemented for high dimensional data analysis. Many researchers in statistics and medical sciences work with big data. They need to analyse this data through statistical modelling. Estimating the model parameters accurately is an important part of the data analysis. This book may be a repository for developing improve estimation strategies for statisticians. This book will help researchers and practitioners for their teaching and advanced research, and is an excellent textbook for advanced undergraduate and graduate courses involving shrinkage, statistical, and machine learning"-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning |
| General subdivision |
Statistical methods. |
| 9 (RLIN) |
38229 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Predictive analytics. |
| 9 (RLIN) |
38230 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Regression analysis |
| General subdivision |
Mathematical models. |
| 9 (RLIN) |
38231 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Estimation theory. |
| 9 (RLIN) |
34123 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Quantitative research |
| General subdivision |
Data processing. |
| 9 (RLIN) |
33685 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ahmed, Feryaal. |
| Relator term |
author. |
| 9 (RLIN) |
38232 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Yuzbasi, Bahadir. |
| Relator term |
author. |
| 9 (RLIN) |
38233 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Online version: |
| Main entry heading |
Ahmed, S. E. (Syed Ejaz), 1957- |
| Title |
Shrinkage strategies in analytics and data science |
| Place, publisher, and date of publication |
Boca Raton : CRC Press, 2023 |
| International Standard Book Number |
9781003170259 |
| Record control number |
(DLC) 2022052688 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
rip |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Books |
| Edition |
23 |
| Suppress in OPAC |
No |