Reprint

Stochastic Modeling in Biological System

Edited by
May 2024
192 pages
  • ISBN978-3-7258-1241-7 (Hardback)
  • ISBN978-3-7258-1242-4 (PDF)

This is a Reprint of the Special Issue Stochastic Modeling in Biological System that was published in

Computer Science & Mathematics
Summary

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.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
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; extinction; 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; parameter estimation; real data; measles in Pakistan

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