927 results in Applied probability and stochastic networks
4 - Algorithms for maximum likelihood parameter estimation
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7 - Partially observed Markov decision processes (POMDPs)
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17 - Stochastic approximation algorithms: examples
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10 - Structural results for optimal filters
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![](https://assets.cambridge.org/97811071/34607/cover/9781107134607.jpg)
Partially Observed Markov Decision Processes
- From Filtering to Controlled Sensing
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12 - Structural results for stopping time POMDPs
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5 - Multi-agent sensing: social learning and data incest
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Index
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2 - Workload Data
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7 - Self-Similarity and Long-Range Dependence
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5 - Heavy Tails
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10 - Summary and Outlook
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9 - Case Studies
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PREFACE
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Frontmatter
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4 - Fitting Distributions to Data
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3 - Statistical Distributions
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6 - Correlations in Workloads
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Index
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8 - Hierarchical Generative Models
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