Probability Theory and Stochastic Modeling with Applications

doi:10.3390/books978-3-0365-8853-7

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Hardback

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Keywords

Bayesian density estimation; Bayesian estimation of the sampling distribution; posterior predictive distribution; consistency of the Bayes estimator; bathtub-shaped; lagged effect; step-stress; maximum likelihood estimators; least squares estimators; asymptotic confidence intervals; Monte Carlo simulation; parameter estimation; least squares method; whitening filter; Fisher information; maximum likelihood method; nonlinear residual transformation; robust statistics; spatio-temporal outliers; von Mises expansions; saddlepoint approximations; dependent failure process; bivariate generalized Polya process; dependent worse-than-minimal repair process; optimal replacement policy; ergodicity; filtering theory; hidden Markov models; partial observation; Wonham filter; extraction game for two agents; time-until-failure; hazard rates; vertical pressure gradient; Bühlmann recommendations for premium calculation; mixture; residual life variance; inactivity time variance; aging class; bending property; GDP growth; BRICS and G7; five-factor asset pricing model; panel data; quantile models; random coefficient models; price uncertainty; DSO; credibility theory; fuzzy chance constraint; robust optimization; quaternion random signal; reproducing kernel Hilbert space; widely linear processing; detection problem; censored data; hazard function; odd log-logistic Weibull; statistical reparameterization; survival function; best arm identification; dueling bandit; Weibull model; trigonometric function; family of distributions; simulation; statistical modeling; engineering data; Markov chains; stationary distribution; wavelet transform; numerical algorithm; ARMA modelling; distance between power spectral densities; simulation-based testing; state-backed currencies; gold; exchange rate; bitcoin; n/a

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Probability Theory and Stochastic Modeling with Applications

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September 2023

358 pages

ISBN978-3-0365-8852-0 (Hardback)
ISBN978-3-0365-8853-7 (PDF)

https://doi.org/10.3390/books978-3-0365-8853-7

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This is a Reprint of the Special Issue Probability Theory and Stochastic Modeling with Applications that was published in

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Engineering

Physical Sciences

Public Health & Healthcare

Summary

This reprint encompasses articles that were accepted and published in the Special Issue titled "Probability Theory and Stochastic Modeling with Applications." This Special Issue delves into the theory and application of stochastic models across various disciplines. We hope that these publications could inspire researchers in relevant communities. It is our aim that these papers not only stimulated future research in probability and stochastic modeling, but also encouraged the exploration of their potential applications.