Results 171 to 180 of about 460,152 (328)
A Markov Chain Model for Mental Health Interventions. [PDF]
Claudio D+5 more
europepmc +1 more source
Correction to an integral equation arising from Markov chains [PDF]
H. P. McKean
openalex +1 more source
First‐order Sobolev spaces, self‐similar energies and energy measures on the Sierpiński carpet
Abstract For any p∈(1,∞)$p \in (1,\infty)$, we construct p$p$‐energies and the corresponding p$p$‐energy measures on the Sierpiński carpet. A salient feature of our Sobolev space is the self‐similarity of energy. An important motivation for the construction of self‐similar energy and energy measures is to determine whether or not the Ahlfors regular ...
Mathav Murugan, Ryosuke Shimizu
wiley +1 more source
A Markov Chain Model for Determining the Optimal Time to Move Pregnant Cows to Individual Calving Pens. [PDF]
Phyo CN, Tin P, Zin TT.
europepmc +1 more source
Abstract The problem of deriving a gradient flow structure for the porous medium equation which is thermodynamic, in that it arises from the large deviations of some microscopic particle system is studied. To this end, a rescaled zero‐range process with jump rate g(k)=kα,α>1$g(k)=k^\alpha, \alpha >1$ is considered, and its hydrodynamic limit and ...
Benjamin Gess, Daniel Heydecker
wiley +1 more source
Abstract Studies examining the associations of chronic stressors with sleep health in older adults have shown conflicting results. While the COVID‐19 pandemic increased perceived stress at the population level, less is known about chronic stressors experienced by older adults in the context of the COVID‐19 pandemic and its impact on sleep health in an ...
Wan‐Chin Kuo+4 more
wiley +1 more source
Quantifying the 'end of history' through a Bayesian Markov-chain approach. [PDF]
Klimm F.
europepmc +1 more source
Martin boundaries for certain Markov chains [PDF]
J. Lamperti, J. Laurie Snell
openalex +1 more source
Convergence Bounds for Monte Carlo Markov Chains [PDF]
This review paper, written for the second edition of the Handbook of Markov Chain Monte Carlo, provides an introduction to the study of convergence analysis for Markov chain Monte Carlo (MCMC), aimed at researchers new to the field. We focus on methods for constructing bounds on the distance between the distribution of a Markov chain at a given time ...
arxiv