Mathematical Learning Models — Theory and Algorithms - Lecture Notes in Statistics
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Published By Springer New York

9780387909134, 9781461256120

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On the infinitesimal characterization of monotone stopping problems in continuous time

Mathematical Learning Models — Theory and Algorithms - Lecture Notes in Statistics ◽

10.1007/978-1-4612-5612-0_10 ◽

1983 ◽

pp. 93-100 ◽

Author(s):

A. Irle

Keyword(s):

Continuous Time

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Asymptotic Properties of Learning Models

Mathematical Learning Models — Theory and Algorithms - Lecture Notes in Statistics ◽

10.1007/978-1-4612-5612-0_9 ◽

1983 ◽

pp. 86-92

Author(s):

Marius Iosifescu

Keyword(s):

Asymptotic Properties ◽

Learning Models

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Sequential probability ratio tests for homogeneous Markov chains

Mathematical Learning Models — Theory and Algorithms - Lecture Notes in Statistics ◽

10.1007/978-1-4612-5612-0_21 ◽

1983 ◽

pp. 191-202 ◽

Author(s):

N. Schmitz ◽

B. Süselbeck

Keyword(s):

Markov Chains ◽

Probability Ratio ◽

Sequential Probability Ratio Tests ◽

Sequential Probability

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Convergence of a General Stochastic Approximation Process under Convex Constraints and some Applications

Mathematical Learning Models — Theory and Algorithms - Lecture Notes in Statistics ◽

10.1007/978-1-4612-5612-0_17 ◽

1983 ◽

pp. 156-167

Author(s):

J. M. Monnez

Keyword(s):

Stochastic Approximation ◽

Convex Constraints ◽

Approximation Process ◽

General Stochastic

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Stochastic Regression Models and Consistency of the Least Squares Identification Scheme

Mathematical Learning Models — Theory and Algorithms - Lecture Notes in Statistics ◽

10.1007/978-1-4612-5612-0_13 ◽

1983 ◽

pp. 115-125

Author(s):

Tze Leung Lai

Keyword(s):

Least Squares ◽

Regression Models ◽

Identification Scheme ◽

Stochastic Regression

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On Continuous Time Learning Models

Mathematical Learning Models — Theory and Algorithms - Lecture Notes in Statistics ◽

10.1007/978-1-4612-5612-0_19 ◽

1983 ◽

pp. 175-181 ◽

Author(s):

Helmut Pruscha

Keyword(s):

Continuous Time ◽

Learning Models

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On the Discretization Technique for Optimal Discounted Control of the Wiener Process

Mathematical Learning Models — Theory and Algorithms - Lecture Notes in Statistics ◽

10.1007/978-1-4612-5612-0_8 ◽

1983 ◽

pp. 78-85

Author(s):

K. Helmes

Keyword(s):

Wiener Process ◽

Discretization Technique

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The Role of Dynamic Allocation Indices in the Evaluation of Suboptimal Strategies for Families of Bandit Processes

Mathematical Learning Models — Theory and Algorithms - Lecture Notes in Statistics ◽

10.1007/978-1-4612-5612-0_7 ◽

1983 ◽

pp. 68-77

Author(s):

K. D. Glazebrook

Keyword(s):

Dynamic Allocation ◽

Suboptimal Strategies

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Dynamic Allocation Indices for Bayesian Bandits

Mathematical Learning Models — Theory and Algorithms - Lecture Notes in Statistics ◽

10.1007/978-1-4612-5612-0_6 ◽

1983 ◽

pp. 50-67 ◽

Author(s):

J. C. Gittins

Keyword(s):

Dynamic Allocation

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A Local Asymptotic Minimax Optimality of an Adaptive Robbins Monro Stochastic Approximation Procedure

Mathematical Learning Models — Theory and Algorithms - Lecture Notes in Statistics ◽

10.1007/978-1-4612-5612-0_5 ◽

1983 ◽

pp. 43-49 ◽

Author(s):

Václav Fabian

Keyword(s):

Stochastic Approximation ◽

Approximation Procedure ◽

Asymptotic Minimax ◽

Stochastic Approximation Procedure

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