CO OZNACZA SŁOWO MARKOV CHAIN
Łańcuch Markowa
Łańcuch Markowa o nazwisku Andrey Markov jest systemem matematycznym, który przechodzi przejście z jednego stanu do drugiego w przestrzeń państwową. Jest to przypadkowy proces zazwyczaj charakteryzowany jako bez pamięci: następny stan zależy tylko od aktualnego stanu, a nie od sekwencji wydarzeń poprzedzających ją. Ten szczególny rodzaj "bez pamięci" nazywa się właściwością Markowa. Łańcuch Markowa ma wiele zastosowań jako statystycznych modeli procesów rzeczywistych.
Definicja słowa Markov chain w słowniku
Definicja łańcucha Markowa w słowniku jest sekwencją zdarzeń, w której prawdopodobieństwo każdego z nich zależy tylko od zdarzenia bezpośrednio poprzedzającego.
KSIĄŻKI POWIĄZANE ZE SŁOWEM «MARKOV CHAIN»
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Markov chain w następujących pozycjach bibliograficznych Książki powiązane ze słowem
Markov chain oraz krótkie ich fragmenty w celu przedstawienia kontekstu użycia w literaturze.
1
Markov Chain Monte Carlo in Practice
In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study helps a vaccination program reduce the incidence of Hepatitis B carriage.
W.R. Gilks, S. Richardson, David Spiegelhalter,
1995
2
Handbook of
Markov Chain Monte Carlo
The Handbook of Markov Chain Monte Carlo provides a reference for the broad audience of developers and users of MCMC methodology interested in keeping up with cutting-edge theory and applications.
Steve Brooks, Andrew Gelman, Galin Jones,
2011
3
Image Analysis, Random Fields and
Markov Chain Monte Carlo ...
"This book is concerned with a probabilistic approach for image analysis, mostly from the Bayesian point of view, and the important Markov chain Monte Carlo methods commonly used.
4
Advanced
Markov Chain Monte Carlo Methods: Learning from ...
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.
Faming Liang, Chuanhai Liu, Raymond Carroll,
2011
5
Algorithms for Random Generation and Counting: A
Markov ...
This monograph is a slightly revised version of my PhD thesis [86], com pleted in the Department of Computer Science at the University of Edin burgh in June 1988, with an additional chapter summarising more recent developments.
6
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian ...
The book has been substantially reinforced as a first reading of material on MCMC and, consequently, as a textbook for modern Bayesian computation and Bayesian inference courses.
Dani Gamerman, Hedibert F. Lopes,
2006
7
Markov Chain Monte Carlo: Innovations and Applications
This book presents five expository essays by leaders in the field, drawing from perspectives in physics, statistics and genetics, and showing how different aspects of MCMC come to the fore in different contexts.
W. S. Kendall, Faming Liang, Jian-Sheng Wang,
2005
This is an ideal text for seminars on random processes or for those that are more oriented towards applications, for advanced undergraduates or graduate students with some background in basic probability theory.
9
Markov Processes for Stochastic Modeling
This book presents an algebraic development of the theory of countable state space Markov chains with discrete and continuous time parameters.
10
Markov Chains: Models, Algorithms and Applications: Models, ...
Therefore, Markov Chains: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, ...
Wai-Ki Ching, Michael K. Ng,
2006
WIADOMOŚCI, KTÓRE ZAWIERAJĄ SŁOWO «MARKOV CHAIN»
Sprawdź, o czym dyskutuje się w prasie krajowej i zagranicznej oraz jak jest stosowane słowo
Markov chain w wiadomościach.
Paired exome analysis of Barrett's esophagus and adenocarcinoma
We clustered mutations with similar CCF values by sampling from a mixture of Dirichlet processes using a Markov chain Monte Carlo (MCMC) technique, ... «Nature.com, Lip 15»
Selection of climate policies under the uncertainties in the Fifth …
... from the CMIP5 temperature projections from 2010 to 2100 using a Bayesian inversion technique based on the Markov Chain Monte Carlo (MCMC) algorithm. «Nature.com, Lip 15»
This is what would happen if Reddit was nothing but bots
The process is called a Markov chain, and if you've ever seen an ebooks Twitter bot, you've probably witnessed the process. There are 123 in ... «Fusion, Lip 15»
Joint haplotype assembly and genotype calling via sequential Monte …
However, as argued in [15], the exact algorithms are often infeasible in practice; the approach in [16] based on the Markov Chain Monte Carlo ... «BMC Blogs Network, Lip 15»
Influence of breastfeeding on retinal vessel calibers in school-age …
... performed multiple imputations of missing covariates by generating five independent data sets using the Markov Chain Monte Carlo method ... «Nature.com, Lip 15»
The Greeks in the West: genetic signatures of the Hellenic …
... were modelled under a stochastic Markov chain Monte Carlo method as implemented in the software ASHES (http://ashes.codeplex.com/). «Nature.com, Lip 15»
Wrap-Up of Federal and State Chemical Regulatory Developments …
Tentative topics for the meeting include: (1) estimating the magnitude of pesticide effects on avian reproductive success: Markov chain nest ... «JD Supra, Lip 15»
This Is What Happens When You Remix Calvin and Hobbes Using …
Josh Millard has used a Markov chain process to remix Calvin and Hobbes strips into a glorious mess. Markov chains are a random ... «Gizmodo India, Lip 15»
Calvin and Markov: text-chaining new, weird computer humor
... that makes substantial improvements over his initial Markov code (the Wikipedia Markov chain article is a good introduction to the technique). «Boing Boing, Lip 15»
Hacking the Humanities
Optimizing the program by using something called Latent Semantic Analysis and something else called a Markov Chain Monte Carlo could be ... «The New Yorker, Lip 15»