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Etiquetamarkov chains

Inclui: markov chains, Markov chains, Markov Chains

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Markov Chains and Mixing Times por David A. Levin (4 vezes)
Finite Markov Chains por John G. Kemeny (3 vezes)
Markov Chains por J. R. Norris (3 vezes)
The Theory that Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy por Sharon Bertsch McGrayne (2 vezes)
Counting, Sampling and Integrating: Algorithms and Complexity por Mark Jerrum (2 vezes)
Markov Chains: Models, Algorithms and Applications (International Series in Operations Research & Management Science) por Wai-Ki Ching (2 vezes)
Finite Mathematical Structures por John G. Kemeny (2 vezes)
Finite Markov Chains and Algorithmic Applications por Olle Häggström (2 vezes)
Journal of the ACM, Volume 62, Number 1, 2015 por Victor Vianu (1 vezes)
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World por Pedro Domingos (1 vezes)
Inventory Systems por Eliezer Naddor (1 vezes)
Markov Chains (North-Holland Mathematical Library) por D. Revuz (1 vezes)
General Irreducible Markov Chains and Non-Negative Operators por Esa Nummelin (1 vezes)
Naming Infinity: A True Story of Religious Mysticism and Mathematical Creativity por Loren R. Graham (1 vezes)
Elements of Applied Probability Theory por Petr Beckmann (1 vezes)
Applicable Finite Mathematics por David S. Moore (1 vezes)
Queueing Systems. Volume 1: Theory por Leonard Kleinrock (1 vezes)
Chance & Choice: Memorabilia por Kai Lai Chung (1 vezes)
Bayesian Computation with R por Jim Albert (1 vezes)
Elementary linear algebra por A. Wayne Roberts (1 vezes)
Stochastic Processes (Science Paperbacks) por Lajos Takács (1 vezes)
Optimization and Probability in Systems Engineering por John G. Rau (1 vezes)
Studies in optimization por George Bernard Dantzig (1 vezes)
Introduction to Operations Research (McGraw-Hill series in industrial engineering and management science) por Billy E. Gillett (1 vezes)
Mathematical Aspects of Mixing Times in Markov Chains (Foundations and Trends(R) in Theoretical Computer Science) por Ravi Montenegro (1 vezes)

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Séries Relacionadas

Cambridge Series in Statistical and Probabilistic Mathematics

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Probability and its Applications

Lectures in Mathematics, ETH Zurich

Stochastic Modelling and Applied Probability

Progress in Theoretical Computer Science

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Cambridge Tracts in Mathematics

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