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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Bibliographic Details

Main Authors:	Barbu, Adrian (Author), Zhu, Song-Chun (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Subjects:	Computer mathematics. Mathematical statistics. Optical data processing. Statistics . Computational Mathematics and Numerical Analysis. Probability and Statistics in Computer Science. Computer Imaging, Vision, Pattern Recognition and Graphics. Statistical Theory and Methods. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. Electronic books.
Online Access:	Connect to the full text of this electronic book