Kapak Resmi

Stochastic Modeling in Biological System

This Reprint includes some research articles covering advances in the theory of stochastic modeling in Biology. In this framework, continuous- and discrete-time stochastic processes, as well as stochastic differential equations, fractional differential equations, correlated processes, first-passage-...

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Materyal Türü: Online
Dil:İngilizce
Baskı/Yayın Bilgisi: MDPI - Multidisciplinary Digital Publishing Institute 2024
Konular:
stochastic epidemic model
threshold dynamics
infection rate
extinction
ergodic stationary distribution
fractional Brownian motion
stochastic model
regression
time series
residuals analysis
Hurst exponent
Campi Flegrei caldera
temperature fluctuation
Hurwitz-Lerch zeta distribution
log-concavity
compound poisson distribution
one inflated model
moment
simulated annealing
media coverage
Lévy jumps
nontrival positive T-periodic solution
exponential ergodicity
persistence in mean
Wiener process
Ornstein–Uhlenbeck process
Feller process
asymptotic average of the local time
first-passage time and its moments
first passage time problem
Jacobi process
simulation algorithm
nonlocal operator
Wright–Fisher model
fractional integrals
first-passage time
decaying rate
tail distribution
stochastic measles epidemic model
stationary distribution
parameter estimation
real data
Pakistan measles outbreak
Brownian motion
Kolmogorov backward equation
dynamic programming
method of similarity solutions
stochastic models
Lévy jump
persistence
measles in Pakistan
thema EDItEUR::P Mathematics and Science
thema EDItEUR::P Mathematics and Science::PB Mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
Online Erişim:ONIX_20240704_9783725812417_120
Etiketler: Etiketle
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Özet:This Reprint includes some research articles covering advances in the theory of stochastic modeling in Biology. In this framework, continuous- and discrete-time stochastic processes, as well as stochastic differential equations, fractional differential equations, correlated processes, first-passage-time problems, stochastic optimal controls, parameter estimation, and simulation techniques, are treated. The topics include stochastic processes for neuronal activity, jump-diffusion processes, first-passage-time problems, Markov and semi-Markov processes, time-changed processes, Markov chains, fractional processes, and fractional Brownian motion.

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