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...

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Abstract 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.
AbstractList 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.
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Editor Iftimie, Bogdan
Enachescu, Denis
Agapie, Alexandru
Barbu, Vlad Stefan
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SubjectTerms access to employment
adaptive progressive hybrid censored data
algorithmic trading
approximation error
asymmetric piecewise linear systems
asymptotics
binomial crossover
collinearity and reverse causality checks
computational complexity
continuous evolutionary algorithm
cross-validations
cumulative residual entropy
decompositions of Markov chains
differential evolution
divergence
drift analysis
entropy
evolutionary computation
exponentially modified Laplace distribution
finitely additive Markov chains
finitely additive measures
Fisher-like metric
fixed-budget analysis
fourth moment theorem
full support for replication of results
futures
Gaussian fields
generalized Fisher metric
geometric mean
gold
goodness-of-fit
hypergeometric functions
immigration
implicit function theorem
invariant measures
Lindley distribution
linear regression analysis
loss functions
Lyapunov equation
Lyapunov function
Malliavin calculus
Markov chain
Markov chains
Markov operators
Markov switches
martingale
Mathematics and Science
MaxEnt problem
mean
method of moments
moments
Monte Carlo simulation
multi-variate calculus
multiple stochastic integrals
multivariate normal approximation
optimal control
performance comparisons and reporting
Poisson perturbations
precious metals
probabilistic optimization
random variable
Rayleigh distribution
Reference, Information and Interdisciplinary subjects
regression and classification models
relative group entropy
Research and information: general
silver
skewness and kurtosis coefficients
spherical distribution
Stein characterization
step stress partially accelerated life testing
system of ordinary differential equations
system of stochastic differential equations
the alpha power inverse Weibull distribution
theorem of existence and uniqueness
transition kernel
transmissibility factors
triangulation
Wald’s equation
ϕ-deformed (Naudts) entropy
Title Probability, Stochastic Processes and Optimization
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