On a Certain Class of Stochastic Approximation Processes

On a Certain Class of Stochastic Approximation Processes PDF Author: Donald L. Burkholder
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 180

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On a Certain Class of Stochastic Approximation Processes

On a Certain Class of Stochastic Approximation Processes PDF Author: Donald L. Burkholder
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 180

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Book Description


Convergence of Stochastic Processes

Convergence of Stochastic Processes PDF Author: D. Pollard
Publisher: David Pollard
ISBN: 0387909907
Category : Mathematics
Languages : en
Pages : 223

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Book Description
Functionals on stochastic processes; Uniform convergence of empirical measures; Convergence in distribution in euclidean spaces; Convergence in distribution in metric spaces; The uniform metric on space of cadlag functions; The skorohod metric on D [0, oo); Central limit teorems; Martingales.

Stochastic Approximation and Recursive Estimation

Stochastic Approximation and Recursive Estimation PDF Author: M. B. Nevel'son
Publisher: American Mathematical Soc.
ISBN: 9780821809068
Category : Mathematics
Languages : en
Pages : 252

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Book Description
This book is devoted to sequential methods of solving a class of problems to which belongs, for example, the problem of finding a maximum point of a function if each measured value of this function contains a random error. Some basic procedures of stochastic approximation are investigated from a single point of view, namely the theory of Markov processes and martingales. Examples are considered of applications of the theorems to some problems of estimation theory, educational theory and control theory, and also to some problems of information transmission in the presence of inverse feedback.

Selected Works of Donald L. Burkholder

Selected Works of Donald L. Burkholder PDF Author: Burgess Davis
Publisher: Springer Science & Business Media
ISBN: 1441972455
Category : Mathematics
Languages : en
Pages : 715

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Book Description
This book chronicles Donald Burkholder's thirty-five year study of martingales and its consequences. Here are some of the highlights. Pioneering work by Burkholder and Donald Austin on the discrete time martingale square function led to Burkholder and Richard Gundy's proof of inequalities comparing the quadratic variations and maximal functions of continuous martingales, inequalities which are now indispensable tools for stochastic analysis. Part of their proof showed how novel distributional inequalities between the maximal function and quadratic variation lead to inequalities for certain integrals of functions of these operators. The argument used in their proof applies widely and is now called the Burkholder-Gundy good lambda method. This uncomplicated and yet extremely elegant technique, which does not involve randomness, has become important in many parts of mathematics. The continuous martingale inequalities were then used by Burkholder, Gundy, and Silverstein to prove the converse of an old and celebrated theorem of Hardy and Littlewood. This paper transformed the theory of Hardy spaces of analytic functions in the unit disc and extended and completed classical results of Marcinkiewicz concerning norms of conjugate functions and Hilbert transforms. While some connections between probability and analytic and harmonic functions had previously been known, this single paper persuaded many analysts to learn probability. These papers together with Burkholder's study of martingale transforms led to major advances in Banach spaces. A simple geometric condition given by Burkholder was shown by Burkholder, Terry McConnell, and Jean Bourgain to characterize those Banach spaces for which the analog of the Hilbert transform retains important properties of the classical Hilbert transform. Techniques involved in Burkholder's usually successful pursuit of best constants in martingale inequalities have become central to extensive recent research into two well- known open problems, one involving the two dimensional Hilbert transform and its connection to quasiconformal mappings and the other a conjecture in the calculus of variations concerning rank-one convex and quasiconvex functions. This book includes reprints of many of Burkholder's papers, together with two commentaries on his work and its continuing impact.

An Author and Permuted Title Index to Selected Statistical Journals

An Author and Permuted Title Index to Selected Statistical Journals PDF Author: Brian L. Joiner
Publisher:
ISBN:
Category : Annals of mathematical statistics
Languages : en
Pages : 512

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Book Description
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.

Handbook of Simulation Optimization

Handbook of Simulation Optimization PDF Author: Michael C Fu
Publisher: Springer
ISBN: 1493913840
Category : Business & Economics
Languages : en
Pages : 400

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Book Description
The Handbook of Simulation Optimization presents an overview of the state of the art of simulation optimization, providing a survey of the most well-established approaches for optimizing stochastic simulation models and a sampling of recent research advances in theory and methodology. Leading contributors cover such topics as discrete optimization via simulation, ranking and selection, efficient simulation budget allocation, random search methods, response surface methodology, stochastic gradient estimation, stochastic approximation, sample average approximation, stochastic constraints, variance reduction techniques, model-based stochastic search methods and Markov decision processes. This single volume should serve as a reference for those already in the field and as a means for those new to the field for understanding and applying the main approaches. The intended audience includes researchers, practitioners and graduate students in the business/engineering fields of operations research, management science, operations management and stochastic control, as well as in economics/finance and computer science.

Stochastic Approximation

Stochastic Approximation PDF Author: Cyrus Derman
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 34

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Bibliography of Scientific and Industrial Reports

Bibliography of Scientific and Industrial Reports PDF Author:
Publisher:
ISBN:
Category : Technology
Languages : en
Pages : 1698

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Sequential Methods in Pattern Recognition and Machine Learning

Sequential Methods in Pattern Recognition and Machine Learning PDF Author: K.C. Fu
Publisher: Academic Press
ISBN: 0080955592
Category : Computers
Languages : en
Pages : 245

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Book Description
Sequential Methods in Pattern Recognition and Machine Learning

Index to Statistics and Probability: Permuted titles. Microclimatic-Z

Index to Statistics and Probability: Permuted titles. Microclimatic-Z PDF Author: Ian C. Ross
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 808

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Book Description