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Minimax Estimation Of Linear Functionals In The Convolution Model
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Book Synopsis Minimax Estimation of Linear Functionals in the Convolution Model by : Catherine Matias
Download or read book Minimax Estimation of Linear Functionals in the Convolution Model written by Catherine Matias and published by . This book was released on 2002 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis On Minimax Estimation of Linear Functionals by : David L. Donoho
Download or read book On Minimax Estimation of Linear Functionals written by David L. Donoho and published by . This book was released on 1987 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Estimation of Linear Functionals in the Convolution Model with Gaussian Errors by : Marie-Luce Taupin
Download or read book Estimation of Linear Functionals in the Convolution Model with Gaussian Errors written by Marie-Luce Taupin and published by . This book was released on 1997 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Inference via Convex Optimization by : Anatoli Juditsky
Download or read book Statistical Inference via Convex Optimization written by Anatoli Juditsky and published by Princeton University Press. This book was released on 2020-04-07 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Mathematical Methods of Statistics by :
Download or read book Mathematical Methods of Statistics written by and published by . This book was released on 2006 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book NBS Special Publication written by and published by . This book was released on 1970 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Minimax Estimation with Respect to Restricted Parameter Sets by : Soebanar
Download or read book Minimax Estimation with Respect to Restricted Parameter Sets written by Soebanar and published by . This book was released on 1987 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mathematical Reviews written by and published by . This book was released on 2005 with total page 1518 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Minimax Estimation of Nonparametric Regression Through White Noise Problem by : Yuhai Wu
Download or read book Minimax Estimation of Nonparametric Regression Through White Noise Problem written by Yuhai Wu and published by . This book was released on 1997 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Contributions to the Estimation of Nonregular Functionals by : Jianquing Fan
Download or read book Contributions to the Estimation of Nonregular Functionals written by Jianquing Fan and published by . This book was released on 1989 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Minimax Estimation in Linear Models by : Hilmar Drygas
Download or read book Minimax Estimation in Linear Models written by Hilmar Drygas and published by . This book was released on 1990 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis On Minimax Estimation in Linear Regression Models with Ellipsoidal Constraints by : N. Christopeit
Download or read book On Minimax Estimation in Linear Regression Models with Ellipsoidal Constraints written by N. Christopeit and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Minimax Estimation of Linear Models Under Incorrect Prior Restrictions by : Timo Teräsvirta
Download or read book The Minimax Estimation of Linear Models Under Incorrect Prior Restrictions written by Timo Teräsvirta and published by . This book was released on 1980 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Author and Permuted Title Index to Selected Statistical Journals by : Brian L. Joiner
Download or read book An Author and Permuted Title Index to Selected Statistical Journals written by Brian L. Joiner and published by . This book was released on 1970 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: All articles, notes, queries, corrigenda, and obituaries appearing in the following journals during the indicated years are indexed: Annals of mathematical statistics, 1961-1969; Biometrics, 1965-1969#3; Biometrics, 1951-1969; Journal of the American Statistical Association, 1956-1969; Journal of the Royal Statistical Society, Series B, 1954-1969,#2; South African statistical journal, 1967-1969,#2; Technometrics, 1959-1969.--p.iv.
Book Synopsis Minimax Estimation by : Workshop on Linear Minimax Estimation - Theory and Practice
Download or read book Minimax Estimation written by Workshop on Linear Minimax Estimation - Theory and Practice and published by . This book was released on 1996 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Asymptotic Statistics by : Helmut Rieder
Download or read book Robust Asymptotic Statistics written by Helmut Rieder and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1 To the king, my lord, from your servant Balasi : 2 ... The king should have a look. Maybe the scribe who reads to the king did not understand . . . . shall I personally show, with this tablet that I am sending to the king, my lord, how the omen was written. 3 Really, he who has not followed the text with his finger cannot possibly understand it. This book is about optimally robust functionals and their unbiased esti mators and tests. Functionals extend the parameter of the assumed ideal center model to neighborhoods of this model that contain the actual distri bution. The two principal questions are (F): Which functional to choose? and (P): Which statistical procedure to use for the selected functional? Using a local asymptotic framework, we deal with both problems by linking up nonparametric statistical optimality with infinitesimal robust ness criteria. Thus, seemingly separate developments in robust statistics are presented in a unifying way.
Book Synopsis Minimax and Monotonicity by : Stephen Simons
Download or read book Minimax and Monotonicity written by Stephen Simons and published by Springer. This book was released on 1998-08-20 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focussing on the theory (both classical and recent) of monotone multifunctions on a (possibly nonreflexive) Banach space, this book looks at the big convexification of a multifunction; convex functions associated with a multifunction; minimax theorems as a tool in functional analysis and convex analysis. It includes new results on the existence of continuous linear functionals; the conjugates, biconjugates and subdifferentials of convex lower semicontinuous functions, Fenchel duality; (possibly unbounded) positive linear operators from a Banach space into its dual; the sum of maximal monotone operators, and a list of open problems. The reader is expected to know basic functional analysis and calculus of variations, including the Bahn-Banach theorem, Banach-Alaoglu theorem, Ekeland's variational principle.