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Approximating the First Passage Time Density of Diffusion Processes with State-Dependent Jumps
by
D’Onofrio, Giuseppe
, Lanteri, Alessandro
in
Approximation
/ Diffusion
/ Distribution (Probability theory)
/ first passage time problem
/ Generators
/ Jacobi process
/ Markov analysis
/ Mathematical analysis
/ nonlocal operator
/ Probability density functions
/ Random variables
/ Simulation
/ simulation algorithm
/ Wright–Fisher model
2023
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Approximating the First Passage Time Density of Diffusion Processes with State-Dependent Jumps
by
D’Onofrio, Giuseppe
, Lanteri, Alessandro
in
Approximation
/ Diffusion
/ Distribution (Probability theory)
/ first passage time problem
/ Generators
/ Jacobi process
/ Markov analysis
/ Mathematical analysis
/ nonlocal operator
/ Probability density functions
/ Random variables
/ Simulation
/ simulation algorithm
/ Wright–Fisher model
2023
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Do you wish to request the book?
Approximating the First Passage Time Density of Diffusion Processes with State-Dependent Jumps
by
D’Onofrio, Giuseppe
, Lanteri, Alessandro
in
Approximation
/ Diffusion
/ Distribution (Probability theory)
/ first passage time problem
/ Generators
/ Jacobi process
/ Markov analysis
/ Mathematical analysis
/ nonlocal operator
/ Probability density functions
/ Random variables
/ Simulation
/ simulation algorithm
/ Wright–Fisher model
2023
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Approximating the First Passage Time Density of Diffusion Processes with State-Dependent Jumps
Journal Article
Approximating the First Passage Time Density of Diffusion Processes with State-Dependent Jumps
2023
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Overview
We study the problem of the first passage time through a constant boundary for a jump diffusion process whose infinitesimal generator is a nonlocal Jacobi operator. Due to the lack of analytical results, we address the problem using a discretization scheme for simulating the trajectories of jump diffusion processes with state-dependent jumps in both frequency and amplitude. We obtain numerical approximations on their first passage time probability density functions and results for the qualitative behavior of other statistics of this random variable. Finally, we provide two examples of application of the method for different choices of the distribution involved in the mechanism of generation of the jumps.
Publisher
MDPI AG
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