Probability, Stochastic Processes and Optimization

The present reprint encompasses all the articles that have been accepted and published in the Special Issue entitled "Probability, Stochastic Processes and Optimization". In applied research, Probability Theory is usually regarded as a distant, often-neglected relative of Statistics. This Special Is...

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Bibliografiske detaljer
Format:	Online
Sprog:	engelsk
Udgivet:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Fag:	probabilistic optimization spherical distribution multi-variate calculus hypergeometric functions transition kernel system of ordinary differential equations linear regression analysis theorem of existence and uniqueness implicit function theorem method of moments precious metals gold silver algorithmic trading futures asymptotics goodness-of-fit Monte Carlo simulation Rayleigh distribution Stein characterization Malliavin calculus fourth moment theorem multiple stochastic integrals multivariate normal approximation Gaussian fields random variable mean geometric mean entropy cumulative residual entropy Lindley distribution Markov chains Markov operators finitely additive Markov chains finitely additive measures invariant measures decompositions of Markov chains binomial crossover differential evolution fixed-budget analysis evolutionary computation approximation error exponentially modified Laplace distribution moments skewness and kurtosis coefficients asymmetric piecewise linear systems transmissibility factors Lyapunov equation ϕ-deformed (Naudts) entropy divergence relative group entropy generalized Fisher metric Fisher-like metric MaxEnt problem the alpha power inverse Weibull distribution step stress partially accelerated life testing adaptive progressive hybrid censored data loss functions continuous evolutionary algorithm Markov chain martingale drift analysis Wald’s equation computational complexity optimal control Lyapunov function system of stochastic differential equations Markov switches Poisson perturbations immigration access to employment regression and classification models collinearity and reverse causality checks performance comparisons and reporting triangulation cross-validations full support for replication of results thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science
Online adgang:	ONIX_20240108_9783036594361_72
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Summary:	The present reprint encompasses all the articles that have been accepted and published in the Special Issue entitled "Probability, Stochastic Processes and Optimization". In applied research, Probability Theory is usually regarded as a distant, often-neglected relative of Statistics. This Special Issue attempted to rectify this misconception by publishing papers presenting novel applications and original models from the natural, computer, or social sciences, based on Probability and Stochastic Processes.

Probability, Stochastic Processes and Optimization

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