Monte Carlo Methods
This book seeks to bridge the gap between statistics and computer science. It provides an overview of Monte Carlo methods, including Sequential Monte Carlo, Markov Chain Monte Carlo, Metropolis-Hastings, Gibbs Sampler, Cluster Sampling, Data Driven MCMC, Stochastic Gradient descent, Langevin Monte C...
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Main Authors: | , |
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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Singapore :
Springer Singapore : Imprint: Springer,
2020.
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Edition: | 1st ed. 2020. |
Subjects: | |
Online Access: |
Full text (Wentworth users only) |