Results 71 to 80 of about 144,876 (334)

Harmonic spectral components in time sequences of Markov correlated events

open access: yesAIP Advances, 2017
The paper concerns the analysis of the conditions allowing time sequences of Markov correlated events give rise to a line power spectrum having a relevant physical interest.
Piero Mazzetti, Anna Carbone
doaj   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

Extraction of exact symbolic stationary probability formulas for Markov chains with finite space with application to production lines. Part I: description of methodology

open access: yesFrontiers in Manufacturing Technology
IntroductionMarkov chains are a powerful tool for modeling systems in various scientific domains, including queueing theory. These models are characterized by their ability to maintain complexity at a low level due to a property known as the Markov ...
Konstantinos S. Boulas   +2 more
doaj   +1 more source

Game Theoretic Interaction and Decision: A Quantum Analysis

open access: yesGames, 2017
An interaction system has a finite set of agents that interact pairwise, depending on the current state of the system. Symmetric decomposition of the matrix of interaction coefficients yields the representation of states by self-adjoint matrices and ...
Ulrich Faigle, Michel Grabisch
doaj   +1 more source

Imprecise continuous-time Markov chains : efficient computational methods with guaranteed error bounds [PDF]

open access: yes, 2017
Imprecise continuous-time Markov chains are a robust type of continuous-time Markov chains that allow for partially specified time-dependent parameters. Computing inferences for them requires the solution of a non-linear differential equation.
De Bock, Jasper, Erreygers, Alexander
core   +1 more source

Perturbation theory for Markov chains via Wasserstein distance

open access: yes, 2017
Perturbation theory for Markov chains addresses the question how small differences in the transitions of Markov chains are reflected in differences between their distributions.
Rudolf, Daniel, Schweizer, Nikolaus
core   +1 more source

Revisiting a long‐overlooked skull: Implications for the distribution of Dinodontosaurus brevirostris (Kannemeyeriiformes) in the Brazilian Triassic

open access: yesThe Anatomical Record, EarlyView.
Abstract Dicynodonts (Anomodontia: Dicynodontia) were one of the main groups of terrestrial tetrapods in Permian and Triassic faunas. In Brazil, the genus Dinodontosaurus is one of the most common tetrapod taxon in the Triassic Santa Maria Supersequence. This genus has a complex taxonomic history and is represented in the Triassic of both Argentina and
Julia Lara Rodrigues de Souza   +5 more
wiley   +1 more source

Statistics for Continuous Time Markov Chains, a Short Review

open access: yesAxioms
This review article is concerned to provide a global context to several works on the fitting of continuous time nonhomogeneous Markov chains with finite state space and also to point out some selected aspects of two techniques previously introduced ...
Manuel L. Esquível, Nadezhda P. Krasii
doaj   +1 more source

A Note on the Transience of Critical Branching Random Walks on the Line [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2008
Gantert and Müller (2006) proved that a critical branching random walk (BRW) on the integer lattice is transient by analyzing this problem within the more general framework of branching Markov chains and making use of Lyapunov functions. The main purpose
Gerold Alsmeyer, Matthias Meiners
doaj   +1 more source

Embedded Markov chain approximations in Skorokhod topologies

open access: yes, 2018
In order to approximate a continuous time stochastic process by discrete time Markov chains one has several options to embed the Markov chains into continuous time processes.
Böttcher, Björn
core   +1 more source

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