Results 41 to 50 of about 193,674 (278)

Algorithms for Markov Binomial Chains [PDF]

Logical Methods in Computer Science
We study algorithms to analyze a particular class of Markov population processes that is often used in epidemiology. More specifically, Markov binomial chains are the model that arises from stochastic time-discretizations of classical compartmental ...
Alejandro Alarcón Gonzalez, Niel Hens, Tim Leys, Guillermo A. Pérez   +3 more
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Multiplex Markov chains: Convection cycles and optimality

Physical Review Research, 2020
Multiplex networks are a common modeling framework for interconnected systems and multimodal data, yet we still lack fundamental insights for how multiplexity affects stochastic processes.
Dane Taylor
doaj   +1 more source

Markov Chains and reliability analysis for reinforced concrete structure service life [PDF]

Materials Research, 2014
From field studies and the literature, it was found that the degradation of concrete over time can be modelled probabilistically using homogeneous Markov Chains. To confirm this finding, this study presents an application of Markov Chains associated with
Edna Possan, Jairo José de Oliveira Andrade   +1 more
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Polynomial Recurrence of Time-inhomogeneous Markov Chains

Austrian Journal of Statistics, 2023
This paper is devoted to establishing conditions that guarantee the existence of a p-th moment of the time it takes for a timeinhomogeneous Markov chain to hit some set C.
Vitaliy Golomoziy, Olha Moskanova
doaj   +1 more source

A tool for model-checking Markov chains [PDF]

, 2002
Markov chains are widely used in the context of the performance and reliability modeling of various systems. Model checking of such chains with respect to a given (branching) temporal logic formula has been proposed for both discrete [34, 10] and ...
Hermanns, H., Katoen, J.P., Meyer-Kayser, J., Siegle, M.   +3 more
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Matrix Analysis for Continuous-Time Markov Chains

Special Matrices, 2021
Continuous-time Markov chains have transition matrices that vary continuously in time. Classical theory of nonnegative matrices, M-matrices and matrix exponentials is used in the literature to study their dynamics, probability distributions and other ...
Le Hung V., Tsatsomeros M. J.
doaj   +1 more source

Markov Chain Models for Stock Prices Forecasts and Analysis [PDF]

ITM Web of Conferences
Under the condition of complexity and volatility of financial markets, stock price prediction remains a challenging research topic. Markov chain models, with their “memoryless” nature, provide a probabilistic framework for analyzing stock price dynamics.
Jia Henghua
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Using Markov Chains in Medical Field [PDF]

المجلة العراقية للعلوم الاحصائية, 2018
تم فی ىذا البحث د ا رسة السمسمة الزمنیة لعدد الإصابات بمرض ذات الرئة کمتسمسمة مارکوف ، وذلک بوضع افت ا رضات عمى عدد الإصابات لصیاغة المسألة وفق نموذج متسمسمة مارکوف بالاعتماد عمى عدد الحالات التی تمثل الظاىر. وبعد إیجاد الصفات الإحصائیة لیذه السمسمة تبین
Abd Al-Gafoor G. Al-Obeady, Ammar Y. Suleman   +1 more
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Attainability for Markov and Semi-Markov Chains

Mathematics
When studying Markov chain models and semi-Markov chain models, it is useful to know which state vectors n, where each component ni represents the number of entities in the state Si, can be maintained or attained.
Brecht Verbeken, Marie-Anne Guerry
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Parallelization of Markov chain generation and its application to the multicanonical method

, 2009
We develop a simple algorithm to parallelize generation processes of Markov chains. In this algorithm, multiple Markov chains are generated in parallel and jointed together to make a longer Markov chain.
Berg B. A., Berg B. A., Creighton T. E., Creutz M., Ferdinand A. E., Ferrenberg A. M., Hansmann U. H. E., Iba Y., Ikebe J., Kamiya N., Metropolis N., Mitsutake A., Nakajima N., Suzuki M.   +13 more
core   +1 more source