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"item_title" : "Understanding Markov Chains",
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"item_description" : "Probability Background.- Gambling Problems.- Random Walks.- Discrete-Time Markov Chains.- First Step Analysis.- Classification of States.- Long-Run Behavior of Markov Chains.- Branching Processes.- Continuous-Time Markov Chains.- Discrete-Time Martingales.- Spatial Poisson Processes.- Reliability Theory.",
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Understanding Markov Chains : Examples and Applications
Overview
Probability Background.- Gambling Problems.- Random Walks.- Discrete-Time Markov Chains.- First Step Analysis.- Classification of States.- Long-Run Behavior of Markov Chains.- Branching Processes.- Continuous-Time Markov Chains.- Discrete-Time Martingales.- Spatial Poisson Processes.- Reliability Theory.
This item is Non-Returnable
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Details
- ISBN-13: 9789811306587
- ISBN-10: 9811306583
- Publisher: Springer
- Publish Date: August 2018
- Dimensions: 9.21 x 6.14 x 0.81 inches
- Shipping Weight: 1.21 pounds
- Page Count: 372
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