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Advances in Applied Mathematics20 pages, 4 figures. The new version introduces and studies toggle Markov chains and proves cutoff for rowmotion Markov chains of Boolean ...
Defant, Colin +2 more
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Dynkin's Isomorphism with Sign Structure [PDF]
, 2007 The Dynkin isomorphism associates a Gaussian field to a Markov chain. These Gaussian fields can be used as priors for prediction and time series analysis. Dynkin's construction gives Gaussian fields with all non-negative covariances.
Khare, Kshitij
core
A Hopf-power Markov chain on compositions [PDF]
Discrete Mathematics & Theoretical Computer Science, 2013 In a recent paper, Diaconis, Ram and I constructed Markov chains using the coproduct-then-product map of a combinatorial Hopf algebra. We presented an algorithm for diagonalising a large class of these "Hopf-power chains", including the Gilbert-Shannon ...
C.Y. Amy Pang
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Convergence properties of Gibbs samplers for Bayesian probit regression with proper priors
, 2017 The Bayesian probit regression model (Albert and Chib (1993)) is popular and widely used for binary regression. While the improper flat prior for the regression coefficients is an appropriate choice in the absence of any prior information, a proper ...
Chakraborty, Saptarshi, Khare, Kshitij
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STUDY ON THE EVOLUTION OF SOME FINANCIAL PRODUCTS BASED ON MARKOV CHAINS METHOD [PDF]
Annals of the University of Oradea: Economic Science, 2016 In probability theory it is known that Markov chain is frequently used in order to predict the future situations. Moreover, Markov chain theory is used to study the change rules of the economic phenomenons, to describe consumers’ brand loyalty, in ...
Marta Kovacs (Kiss)
doaj
Limit behaviour for imprecise Markov Chains [PDF]
, 2007 An imprecise Markov chain is defined by a closed convex set of transition matrices instead of a unique one for a classical precise Markov chain. These imprecise Markov chains allow us to model situations where we do not have enough information to specify
De Cooman, Gert +2 more
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Fuzzy time series markov chain and discrete-time markov chain analysis of export gonggong in Batam
DesimalGonggong snails are an important fisheries commodity that has high economic value. However, freight on board export Gonggong has a bigger probability to decrease (below the half-term weighted average).
Andini Setyo Anggraeni +4 more
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Markov Chain Models for Stock Prices Forecasts and Analysis [PDF]
ITM Web of ConferencesUnder 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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Quantized Markov Chain Couplings that Prepare Qsamples [PDF]
QuantumWe present a novel approach to quantizing Markov chains. The approach is based on the Markov chain coupling method, which is frequently used to prove fast mixing. Given a particular coupling, e.g., a grand coupling, we construct a completely positive and
Kristan Temme, Pawel Wocjan
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IEEE Access, 2018 Research on the uncertainty of wind power has a significant influence on power system planning and decision-making. This paper proposes a novel method for wind power interval forecasting based on rough sets theory, weighted Markov chain, and kernel ...
Xiyun Yang +3 more
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