Results 21 to 30 of about 192,524 (234)
Information geometry of Markov Kernels: a survey
Information geometry and Markov chains are two powerful tools used in modern fields such as finance, physics, computer science, and epidemiology. In this survey, we explore their intersection, focusing on the theoretical framework.
Geoffrey Wolfer, Shun Watanabe
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Optimal choice of word length when comparing two Markov sequences using a χ 2-statistic
Background Alignment-free sequence comparison using counts of word patterns (grams, k-tuples) has become an active research topic due to the large amount of sequence data from the new sequencing technologies.
Xin Bai +4 more
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Polynomial Recurrence of Time-inhomogeneous Markov Chains
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
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Stochastic Processes with Expected Stopping Time [PDF]
Markov chains are the de facto finite-state model for stochastic dynamical systems, and Markov decision processes (MDPs) extend Markov chains by incorporating non-deterministic behaviors.
Krishnendu Chatterjee, Laurent Doyen
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Multiplex Markov chains: Convection cycles and optimality
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
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Markov Chains and reliability analysis for reinforced concrete structure service life [PDF]
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 +1 more
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We study the strong law of large numbers for the frequencies of occurrence of states and ordered couples of states for countable Markov chains indexed by an infinite tree with uniformly bounded degree, which extends the corresponding results of countable
Bao Wang +3 more
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Algorithms for Markov Binomial Chains [PDF]
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 +3 more
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Matrix Analysis for Continuous-Time Markov Chains
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.
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Using Markov Chains in Medical Field [PDF]
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 +1 more
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