Results 51 to 60 of about 404,944 (276)
A scaling analysis of a cat and mouse Markov chain [PDF]
, 2009 Motivated by an original on-line page-ranking algorithm, starting from an arbitrary Markov chain $(C_n)$ on a discrete state space ${\cal S}$, a Markov chain $(C_n,M_n)$ on the product space ${\cal S}^2$, the cat and mouse Markov chain, is ...
Litvak, Nelly, Robert, Philippe
core +3 more sources
The Annals of Probability, 1974 W. Feller's decomposition into a road map and speed measure are adapted to symmetric Markov chains with instantaneous states. The road map is a family of matrices defined by time changing the process with measures concentrated on finite sets.
openaire +3 more sources
Multi‐Tissue Genetic Regulation of RNA Editing in Pigs
Advanced Science, EarlyView.This study presents the first multi‐tissue map of RNA editing and its genetic regulation in pigs. By integrating RNA editing profiles, edQTL mapping, GWAS, and cross‐species comparisons, this work establishes RNA editing as a distinct regulatory layer linking genetic variation to complex traits, highlighting its functional and evolutionary significance.
Xiangchun Pan +21 more
wiley +1 more source
SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics
Advanced Science, EarlyView.ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao +11 more
wiley +1 more source
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
Agribusiness, EarlyView.ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
Dissipative control of a three-species food chain stochastic system with a hidden Markov chain
Advances in Difference Equations, 2017 This paper focuses on a three-species food chain system which is formulated as stochastic differential equations with regime switching represented by a hidden Markov chain. Firstly, using the Wonham filter, we estimate the hidden Markov chain through the
Yonggang Ma +3 more
doaj +1 more source
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
AIChE Journal, EarlyView.Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi +2 more
wiley +1 more source
Strong Ergodicity in Nonhomogeneous Markov Systems with Chronological Order
MathematicsIn the present, we study the problem of strong ergodicity in nonhomogeneous Markov systems. In the first basic theorem, we relax the fundamental assumption present in all studies of asymptotic behavior.
P.-C.G. Vassiliou
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Stochastic Methods for Analysis of Complex Hardware-Software Systems
Труды Института системного программирования РАН, 2018 In this paper we consider Markov analysis of models of complex software and hardware systems. A Markov analysis tool can be used during verification processes of models of avionics systems.
A. A. Karnov, S. V. Zelenov
doaj +1 more source