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Optimal convergence rates for the invariant density estimation of
  jump-diffusion processes

Optimal convergence rates for the invariant density estimation of jump-diffusion processes

21 January 2021
Chiara Amorino
Eulalia Nualart
ArXivPDFHTML

Papers citing "Optimal convergence rates for the invariant density estimation of jump-diffusion processes"

6 / 6 papers shown
Title
On the nonparametric inference of coefficients of self-exciting
  jump-diffusion
On the nonparametric inference of coefficients of self-exciting jump-diffusion
Chiara Amorino
Charlotte Dion
A. Gloter
Sarah Lemler
44
5
0
24 Nov 2020
Rate of estimation for the stationary distribution of jump-processes
  over anisotropic Holder classes
Rate of estimation for the stationary distribution of jump-processes over anisotropic Holder classes
Chiara Amorino
20
8
0
24 Nov 2020
Mixing it up: A general framework for Markovian statistics
Mixing it up: A general framework for Markovian statistics
Niklas Dexheimer
Claudia Strauch
Lukas Trottner
62
9
0
31 Oct 2020
Rate of Estimation for the Stationary Distribution of Stochastic Damping
  Hamiltonian Systems with Continuous Observations
Rate of Estimation for the Stationary Distribution of Stochastic Damping Hamiltonian Systems with Continuous Observations
S. Delattre
A. Gloter
Nakahiro Yoshida
25
7
0
28 Jan 2020
Invariant density adaptive estimation for ergodic jump diffusion
  processes over anisotropic classes
Invariant density adaptive estimation for ergodic jump diffusion processes over anisotropic classes
Chiara Amorino
A. Gloter
55
12
0
21 Jan 2020
Nonparametric drift estimation for diffusions with jumps driven by a
  Hawkes process
Nonparametric drift estimation for diffusions with jumps driven by a Hawkes process
Charlotte Dion
Sarah Lemler
94
9
0
17 Apr 2019
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