A \(\gamma\)-power stochastic Lundqvist-Korf diffusion process: computational aspects and simulation
DOI10.2478/MJPAA-2022-0025MaRDI QIDQ6553740
Abdenbi El Azri, Author name not available (Why is that?)
Publication date: 11 June 2024
Published in: Moroccan Journal of Pure and Applied Analysis (Search for Journal in Brave)
simulationmaximum likelihood estimationsimulated annealing methodstatistical inference in diffusion processstochastic Lundqvist-Korf diffusion process
Inference from stochastic processes and prediction (62M20) Applications of stochastic analysis (to PDEs, etc.) (60H30) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30) Inference from stochastic processes and fuzziness (62M86)
Cites Work
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- Optimization by Simulated Annealing
- Estimating the parameters of a Gompertz-type diffusion process by means of simulated annealing
- A stochastic diffusion process based on the Lundqvist-Korf growth: computational aspects and simulation
- A \(\tau\)-power stochastic gamma diffusion process: computational statistical inference and simulation aspects. A real example
- Inference and first-passage-times for the lognormal diffusion process with exogenous factors: application to modelling in economics
- Invariance of Maximum Likelihood Estimators
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