14.0%OFF
Download App
| >> | LShop | >> | Book | >> | Mathematics & Scienc... | >> | Mathematics | >> | Advanced Markov Chai... |
14.0%OFF
Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples (Wiley Series in Computational Statistics)
-
ISBN
:
9780470748268
-
Publisher
:
Wiley
-
Subject
:
Mathematics
-
Binding
:
HARDCOVER
-
Pages
:
374
-
Year
:
2010
₹
11686.0
14.0% OFF
₹
10049.0
10049.0
Buy Now
Shipping charges are applicable for books below Rs. 101.0
View Details(Imported Edition) Estimated Shipping Time : 15-18 Business Days
View Details
-
Description
Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past sample information during simulations. The application examples are drawn from diverse fields such as bioinformatics, machine learning, social science, combinatorial optimization, and computational physics.Key Features:Expanded coverage of the stochastic approximation Monte Carlo and dynamic weighting algorithms that are essentiallyimmune to local trap problems.A detailed discussion of the Monte Carlo Metropolis-Hastings algorithm that can be used for sampling from distributions with intractable normalizing constants.Up-to-date accounts of recent developments of the Gibbs sampler.Comprehensive overviews of the population-based MCMC algorithms and the MCMC algorithms with adaptive proposals.This book can be used as a textbook or a reference book for a one-semester graduate course in statistics, computational biology, engineering, and computer sciences. Applied or theoretical researchers will also find this book beneficial.
Related Items
-
of
-
OFFER
Inference in Hidden Markov Models (Springer Series in Statistics)
Olivier Cappý
Starts At
22927.0
23883.0
4% OFF
-
OFFER
An Introduction to Markov Processes (Graduate Texts in Mathematics)
Daniel W. Stroock
Starts At
5642.0
6561.0
14% OFF
-
OFFER
Controlled Markov processes and viscosity solutions of nonlinear evolution (Publications of the Scuola Normale Superiore)
Wendell H. Fleming
Starts At
1565.0
1702.0
8% OFF
-
OFFER
Markov Random Fields for Vision and Image Processing
Andrew Blake
Starts At
3453.0
4263.0
19% OFF
-
OFFER
Numerical Methods for Structured Markov Chains (Numerical Mathematics and Scientific Computation)
Dario A. Bini
Starts At
9264.0
11438.0
19% OFF
-
OFFER
Controlled Markov Processes and Viscosity Solutions (Stochastic Modelling and Applied Probability)
Wendell H. Fleming
Starts At
14738.0
15353.0
4% OFF
-
OFFER
Markov Decision Processes with Their Applications (Advances in Mechanics and Mathematics)
Qiying Hu
Starts At
13920.0
14500.0
4% OFF
-
OFFER
An Introduction to Markov Processes (Graduate Texts inMathematics)
Daniel W. Stroock
Starts At
6141.0
6397.0
4% OFF
-
OFFER
Semigroups, Boundary Value Problems and Markov Processes (Springer Monographs in Mathematics)
Kazuaki Taira
Starts At
7745.0
8512.0
9% OFF
-
OFFER
Markov Random Field Modeling in Image Analysis (Advances in ComputerVision and Pattern Recognition)
Stan Z. Li
Starts At
14738.0
15353.0
4% OFF
-
OFFER
Markov Decision Processes with Applications to Finance (Universitext)
Nicole Býuerle
Starts At
6550.0
6823.0
4% OFF
-
OFFER
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Dani Gamerman
Starts At
4366.0
5745.0
24% OFF
-
OFFER
Finite Markov Chains and Algorithmic Applications (London Mathematical Society Student Texts)
Olle Häggström
Starts At
11320.0
14896.0
24% OFF
-
OFFER
Topics in the Constructive Theory of Countable Markov Chains
G. Fayolle
Starts At
7277.0
9576.0
24% OFF
-
OFFER
Elements of the Theory of Markov Processes and Their Applications
Albert T. Bharucha-reid
Starts At
1328.0
1871.0
29% OFF
-
OFFER
Vedic Ganit:Athva Vedon se Prapt Solah Saral Ganiteeya Sutras
Bharati Krsna Tirthaji Maharaja
Starts At
140.0
165.0
15% OFF
-
OFFER
Certain Number-Theoretic Episodes in Algebra
R. Sivaramakrishnan
Starts At
6213.0
8511.0
27% OFF
