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Statistical Inference via Convex Optimization by Anatoli Juditsky (English) Hard

Description: Statistical Inference via Convex Optimization by Anatoli Juditsky, Arkadi Nemirovski Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description 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 st Publisher Description 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. Author Biography Anatoli Juditsky is professor of applied mathematics and chair of statistics and optimization at the Multidisciplinary Institute in Artificial Intelligence at the Universite Grenoble Alpes in France. Arkadi Nemirovski is the John Hunter Chair and professor of industrial and systems engineering at the Georgia Institute of Technology. His books include Robust Optimization (Princeton). Details ISBN 0691197296 ISBN-13 9780691197296 Title Statistical Inference via Convex Optimization Author Anatoli Juditsky, Arkadi Nemirovski Format Hardcover Year 2020 Pages 656 Publisher Princeton University Press GE_Item_ID:140266713; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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Statistical Inference via Convex Optimization by Anatoli Juditsky (English) Hard

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ISBN-13: 9780691197296

Book Title: Statistical Inference via Convex Optimization

Number of Pages: 656 Pages

Publication Name: Statistical Inference Via Convex Optimization

Language: English

Publisher: Princeton University Press

Publication Year: 2020

Subject: Probability & Statistics / General, General, Applied, Optimization

Item Height: 1.5 in

Type: Textbook

Item Weight: 46 Oz

Author: Anatoli Juditsky, Arkadi Nemirovski

Item Length: 10.3 in

Subject Area: Mathematics

Item Width: 7 in

Series: Princeton Series in Applied Mathematics Ser.

Format: Hardcover

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