Results 21 to 30 of about 776,491 (337)
Markov Blanket Ranking Using Kernel-Based Conditional Dependence Measures [PDF]
, 2019 10 pages, 4 figures, 2 algorithms, NIPS 2013 Workshop on Causality, code: github.com/ericstrobl/
Eric V. Strobl, Shyam Visweswaran
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Decomposition of Finitely Additive Markov Chains in Discrete Space
Mathematics, 2022 In this study, we consider general Markov chains (MC) defined by a transition probability (kernel) that is finitely additive. These Markov chains were constructed by S. Ramakrishnan within the concepts and symbolism of game theory.
Alexander Zhdanok, Anna Khuruma
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IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2021 In this paper, the $\mathcal {H}_{\infty }$ stabilization problem is studied for discrete-time semi-Markov jump singularly perturbed systems (SMJSPSs) with repeated scalar nonlinearities.
Hao Shen +4 more
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Transportation inequalities for Markov kernels and their applications [PDF]
Electronic Journal of Probability, 2021 38 pages.
Baudoin, Fabrice, Eldredge, Nathaniel
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IEEE transactions on fuzzy systems, 2022 This article concentrates on the model-based fuzzy $l_{2}-l_{\infty }$ filtering problem of a discrete-time semi-Markov jump nonlinear system. The random jumps in the studied system are governed by the discrete-time semi-Markov process.
Jing Wang +4 more
semanticscholar +1 more source
Searching for efficient Markov chain Monte Carlo proposal kernels [PDF]
Proceedings of the National Academy of Sciences, 2013 SignificanceBayesian statistics is widely used in various branches of sciences; its main computational method is the Markov chain Monte Carlo (MCMC) algorithm, which is used to simulate a sample on the computer, on which all Bayesian inference is based.
Ziheng Yang, Carlos E. Rodríguez
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The hypergroup property and representation of Markov kernels [PDF]
, 2006 accept\'e au "S\'eminaire de Probabilit\'es"
Dominique Bakry, Nolwen Huet
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Maximal asymmetry of bivariate copulas and consequences to measures of dependence
Dependence Modeling, 2022 In this article, we focus on copulas underlying maximal non-exchangeable pairs (X,Y)\left(X,Y) of continuous random variables X,YX,Y either in the sense of the uniform metric d∞{d}_{\infty } or the conditioning-based metrics Dp{D}_{p}, and analyze their ...
Griessenberger Florian +1 more
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Approximate Bayesian Computation for Discrete Spaces
Entropy, 2021 Many real-life processes are black-box problems, i.e., the internal workings are inaccessible or a closed-form mathematical expression of the likelihood function cannot be defined.
Ilze A. Auzina, Jakub M. Tomczak
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