The Node-wise Pseudo-marginal Method
Cited by The Alan Turing Institute on
The Alan Turing Institute is the national institute for data science and artificial intelligence, with headquarters at the British Library
Image Analysis, Random Fields and Dynamic Monte Carlo Methods
Overview of attention for book
Table of Contents
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Altmetric BadgeBook Overview
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Altmetric BadgeChapter 1 Introduction
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Altmetric BadgeChapter 2 The Bayesian Paradigm
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Altmetric BadgeChapter 3 Cleaning Dirty Pictures
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Altmetric BadgeChapter 4 Random Fields
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Altmetric BadgeChapter 5 Markov Chains: Limit Theorems
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Altmetric BadgeChapter 6 Sampling and Annealing
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Altmetric BadgeChapter 7 Cooling Schedules
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Altmetric BadgeChapter 8 Sampling and Annealing Revisited
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Altmetric BadgeChapter 9 Metropolis Algorithms
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Altmetric BadgeChapter 10 Alternative Approaches
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Altmetric BadgeChapter 11 Parallel Algorithms
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Altmetric BadgeChapter 12 Partitioning
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Altmetric BadgeChapter 13 Texture Models and Classification
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Altmetric BadgeChapter 14 Maximum Likelihood Estimators
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Altmetric BadgeChapter 15 Spacial ML Estimation
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Altmetric BadgeChapter 16 A Glance at Neural Networks
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Altmetric BadgeChapter 17 Mixed Applications
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Altmetric BadgeChapter 18 Simulation of Random Variables
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Altmetric BadgeChapter 19 The Perron-Frobenius Theorem
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Altmetric BadgeChapter 20 Concave Functions
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Altmetric BadgeChapter 21 A Global Convergence Theorem for Descent Algorithms