Statistical inference via convex optimization / (Record no. 81466)
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control field | on1134459711 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OCoLC |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220908100208.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 191215t20202020njua ob 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
LC control number | 2019048293 |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | DLC |
Language of cataloging | eng |
Description conventions | rda |
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Transcribing agency | DLC |
Modifying agency | OCLCO |
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-- | JSTOR |
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019 ## - | |
-- | 1147839922 |
-- | 1157305543 |
-- | 1294673428 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780691200316 |
Qualifying information | (electronic book) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 0691200319 |
Qualifying information | (electronic book) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9780691197296 |
Qualifying information | (hardcover) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 0691197296 |
Qualifying information | (hardcover) |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1515/9780691200316 |
Source of number or code | doi |
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
OCLC library identifier | AU@ |
System control number | 000066626580 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)1134459711 |
Canceled/invalid control number | (OCoLC)1147839922 |
-- | (OCoLC)1157305543 |
-- | (OCoLC)1294673428 |
037 ## - SOURCE OF ACQUISITION | |
Stock number | 22573/ctvqs3661 |
Source of stock number/acquisition | JSTOR |
037 ## - SOURCE OF ACQUISITION | |
Stock number | 9453317 |
Source of stock number/acquisition | IEEE |
042 ## - AUTHENTICATION CODE | |
Authentication code | pcc |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | QA276 |
Item number | .J84 2020eb |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | MAT |
Subject category code subdivision | 042000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | MAT |
Subject category code subdivision | 029000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | MAT |
Subject category code subdivision | 003000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | MAT |
Subject category code subdivision | 000000 |
Source | bisacsh |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 519.5/4 |
Edition number | 23 |
049 ## - LOCAL HOLDINGS (OCLC) | |
Holding library | MAIN |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Juditsky, Anatoli, |
Dates associated with a name | 1962- |
Relator term | author. |
9 (RLIN) | 65478 |
245 10 - TITLE STATEMENT | |
Title | Statistical inference via convex optimization / |
Statement of responsibility, etc. | Anatoli Juditsky, Arkadi Nemirovski. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Princeton, New Jersey : |
Name of producer, publisher, distributor, manufacturer | Princeton University Press, |
Date of production, publication, distribution, manufacture, or copyright notice | [2020] |
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Date of production, publication, distribution, manufacture, or copyright notice | �2020 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource (xx, 631 pages) : |
Other physical details | illustrations |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | n |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | nc |
Source | rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS | |
File type | text file |
Encoding format | |
Source | rda |
490 1# - SERIES STATEMENT | |
Series statement | Princeton series in applied mathematics |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | Includes bibliographical references and index. |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | On computational tractability -- Sparse recovery via �b1s minimization -- Hypothesis testing -- From hypothesis testing to estimating functionals -- Signal recovery by linear estimation -- Signal recovery beyond linear estimates -- Solutions to selected exercises. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | "This authoritative book draws on the latest research to explore the interplay of high-dimensional statistics with optimization. Through an accessible analysis of fundamental problems of hypothesis testing and signal recovery, Anatoli Juditsky and Arkadi Nemirovski show how convex optimization theory can be used to devise and analyze near-optimal statistical inferences. Statistical Inference via Convex Optimization is an essential resource for optimization specialists who are new to statistics and its applications, and for data scientists who want to improve their optimization methods. Juditsky and Nemirovski provide the first systematic treatment of the statistical techniques that have arisen from advances in the theory of optimization. They focus on four well-known statistical problems--sparse recovery, hypothesis testing, and recovery from indirect observations of both signals and functions of signals--demonstrating how they can be solved more efficiently as convex optimization problems. The emphasis throughout is on achieving the best possible statistical performance. The construction of inference routines and the quantification of their statistical performance are given by efficient computation rather than by analytical derivation typical of more conventional statistical approaches. In addition to being computation-friendly, the methods described in this book enable practitioners to handle numerous situations too difficult for closed analytical form analysis, such as composite hypothesis testing and signal recovery in inverse problems. Statistical Inference via Convex Optimization features exercises with solutions along with extensive appendixes, making it ideal for use as a graduate text"-- |
Assigning source | Provided by publisher. |
588 0# - SOURCE OF DESCRIPTION NOTE | |
Source of description note | Description based on online resource, title from digital title page (viewed on February 12, 2021). |
590 ## - LOCAL NOTE (RLIN) | |
Local note | IEEE |
Provenance (VM) [OBSOLETE] | IEEE Xplore Princeton University Press eBooks Library |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Mathematical statistics. |
9 (RLIN) | 9597 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Mathematical optimization. |
9 (RLIN) | 4112 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Convex functions. |
9 (RLIN) | 65479 |
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Optimisation math�ematique. |
9 (RLIN) | 63677 |
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Fonctions convexes. |
9 (RLIN) | 65480 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | MATHEMATICS |
General subdivision | Optimization. |
Source of heading or term | bisacsh |
9 (RLIN) | 63680 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Convex functions. |
Source of heading or term | fast |
Authority record control number or standard number | (OCoLC)fst00877260 |
9 (RLIN) | 65479 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Mathematical optimization. |
Source of heading or term | fast |
Authority record control number or standard number | (OCoLC)fst01012099 |
9 (RLIN) | 4112 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Mathematical statistics. |
Source of heading or term | fast |
Authority record control number or standard number | (OCoLC)fst01012127 |
9 (RLIN) | 9597 |
655 #0 - INDEX TERM--GENRE/FORM | |
Genre/form data or focus term | Electronic books. |
9 (RLIN) | 3294 |
655 #4 - INDEX TERM--GENRE/FORM | |
Genre/form data or focus term | Electronic books. |
9 (RLIN) | 3294 |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Nemirovski�i, A. S. |
Fuller form of name | (Arkadi�i Semenovich), |
Relator term | author. |
9 (RLIN) | 63734 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Print version: |
Main entry heading | Juditsky, Anatoli, 1962- |
Title | Statistical inference via convex optimization. |
Place, publisher, and date of publication | Princeton, New Jersey : Princeton University Press, [2020] |
International Standard Book Number | 9780691197296 |
Record control number | (DLC) 2019048292 |
-- | (OCoLC)1119533070 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | Princeton series in applied mathematics. |
9 (RLIN) | 65481 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://ieeexplore.ieee.org/servlet/opac?bknumber=9453317">https://ieeexplore.ieee.org/servlet/opac?bknumber=9453317</a> |
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942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
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