Results 51 to 60 of about 460,152 (328)
Variance and Covariance of Several Simultaneous Outputs of a Markov Chain [PDF]
Discrete Mathematics & Theoretical Computer Science, 2016 The partial sum of the states of a Markov chain or more generally a Markov source is asymptotically normally distributed under suitable conditions. One of these conditions is that the variance is unbounded.
Sara Kropf
doaj +1 more source
Batteries &Supercaps, Volume 6, Issue 1, January 2023., 2023 We introduce a computer algorithm that incorporates the experience of battery researchers to extract information from experimental data reproducibly. This enables the fitting of complex models that take up to a few minutes to simulate. For validation, we process full‐cell GITT measurements to characterize the diffusivities of both electrodes non ...
Yannick Kuhn +3 more
wiley +1 more source
Carries, shuffling, and symmetric functions [PDF]
, 2009 The "carries" when n random numbers are added base b form a Markov chain with an "amazing" transition matrix determined by Holte. This same Markov chain occurs in following the number of descents or rising sequences when n cards are repeatedly riffle ...
Diaconis, Persi, Fulman, Jason
core +4 more sources
Goodness‐of‐fit tests in proportional hazards models with random effects
Biometrical Journal, Volume 65, Issue 1, January 2023., 2023 Abstract This paper deals with testing the functional form of the covariate effects in a Cox proportional hazards model with random effects. We assume that the responses are clustered and incomplete due to right censoring. The estimation of the model under the null (parametric covariate effect) and the alternative (nonparametric effect) is performed ...
Wenceslao González‐Manteiga +2 more
wiley +1 more source
Generalized Markov stability of network communities
, 2020 We address the problem of community detection in networks by introducing a general definition of Markov stability, based on the difference between the probability fluxes of a Markov chain on the network at different time scales.
Cimini, Giulio +2 more
core +1 more source
Bayesian time‐varying autoregressive models of COVID‐19 epidemics
Biometrical Journal, Volume 65, Issue 1, January 2023., 2023 Abstract The COVID‐19 pandemic has highlighted the importance of reliable statistical models which, based on the available data, can provide accurate forecasts and impact analysis of alternative policy measures. Here we propose Bayesian time‐dependent Poisson autoregressive models that include time‐varying coefficients to estimate the effect of policy ...
Paolo Giudici +2 more
wiley +1 more source
Markov Chain Ontology Analysis (MCOA)
BMC Bioinformatics, 2012 Background Biomedical ontologies have become an increasingly critical lens through which researchers analyze the genomic, clinical and bibliographic data that fuels scientific research.
Frost H, McCray Alexa T
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Markov Chains for Collaboration [PDF]
Mathematics Magazine, 2011 Consider a system of \(n\) players in which each initially starts on a different team. At each time step, we select an individual winner and an individual loser randomly and the loser joins the winner's team. The resulting Markov chain and stochastic matrix clearly have one absorbing state, in which all players are on the same team, but the ...
Robert Mena, Will Murray
openaire +4 more sources
Reflections on Bayesian inference and Markov chain Monte Carlo
Canadian Journal of Statistics, Volume 50, Issue 4, Page 1213-1227, December 2022., 2022 Abstract Bayesian inference and Markov chain Monte Carlo methods are vigorous areas of statistical research. Here we reflect on some recent developments and future directions in these fields. Résumé L'inférence bayésienne et les méthodes de Monte‐Carlo par chaîne de Markov sont des domaines dynamiques de la recherche statistique.
Radu V. Craiu +2 more
wiley +1 more source
Canadian contributions to environmetrics
Canadian Journal of Statistics, Volume 50, Issue 4, Page 1355-1386, December 2022., 2022 Abstract This article focuses on the importance of collaboration in statistics by Canadian researchers and highlights the contributions that Canadian statisticians have made to many research areas in environmetrics. We provide a discussion about different vehicles that have been developed for collaboration by Canadians in the environmetrics context as ...
Charmaine B. Dean +8 more
wiley +1 more source