Stochastic Processes: Fundamentals and Emerging Applications
DOI10.52305/JNEY5805zbMath1504.60003MaRDI QIDQ5054870
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Publication date: 9 December 2022
modelingsimulationCauchy problemextreme valuesbirth and death processesstochastic processlogistic modelextinctionGaussian distributionregenerative processmean square errorspectral densityrenewal processcouplingqueueing systemrandom variablestochastic permanenceinhomogeneous Markov chainminimax-robust estimatestochastic time seriesstochastic predator-prey modelKarhunen-Loève representationstochastic ultimate boundednessnon-persistence in the meanperiodically stationary incrementsweak persistence in the meanstrong persistence in the meanminimax spectral characteristicsleast favourable spectral densitystationary stochastic sequencemodels of stochastic processesaccuracy and reliability of simulation$D_{V$K_\sigma$-spaces of random variablesequation of string oscillations with random initial conditionsinput and output processlimit theorems almost surestochastically perturbed Schrödinger equationsub-Gaussian spaces of random variablestwo-species mutualism modelW}$ spaces of random variables
Introductory exposition (textbooks, tutorial papers, etc.) pertaining to probability theory (60-01) Population dynamics (general) (92D25) Applications of stochastic analysis (to PDEs, etc.) (60H30) Markov processes (60Jxx) Stochastic processes (60Gxx) Special processes (60Kxx)
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