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Efficient maximum likelihood estimation for Lévy-driven
  Ornstein-Uhlenbeck processes

Efficient maximum likelihood estimation for Lévy-driven Ornstein-Uhlenbeck processes

12 March 2014
H. Mai
ArXivPDFHTML

Papers citing "Efficient maximum likelihood estimation for Lévy-driven Ornstein-Uhlenbeck processes"

15 / 15 papers shown
Title
Adaptive nonparametric drift estimation for multivariate jump diffusions
  under sup-norm risk
Adaptive nonparametric drift estimation for multivariate jump diffusions under sup-norm risk
Linqi Zhou
27
0
0
29 Sep 2023
On Lasso and Slope drift estimators for Lévy-driven
  Ornstein--Uhlenbeck processes
On Lasso and Slope drift estimators for Lévy-driven Ornstein--Uhlenbeck processes
Niklas Dexheimer
Claudia Strauch
63
6
0
16 May 2022
A Generalization of the Ornstein-Uhlenbeck Process: Theoretical Results,
  Simulations and Parameter Estimation
A Generalization of the Ornstein-Uhlenbeck Process: Theoretical Results, Simulations and Parameter Estimation
J. Stein
Silvia R.C. Lopes
A. V. Medino
27
1
0
13 Aug 2021
Local Asymptotic Mixed Normality via Transition Density Approximation
  and an Application to Ergodic Jump-Diffusion Processes
Local Asymptotic Mixed Normality via Transition Density Approximation and an Application to Ergodic Jump-Diffusion Processes
Teppei Ogihara
Yuma Uehara
29
0
0
01 May 2021
Calibration for multivariate Lévy-driven Ornstein-Uhlenbeck processes
  with applications to weak subordination
Calibration for multivariate Lévy-driven Ornstein-Uhlenbeck processes with applications to weak subordination
Kevin W. Lu
23
4
0
30 Nov 2020
High-frequency Estimation of the Lévy-driven Graph Ornstein-Uhlenbeck
  process
High-frequency Estimation of the Lévy-driven Graph Ornstein-Uhlenbeck process
Valentin Courgeau
Almut E. D. Veraart
29
3
0
25 Aug 2020
Likelihood theory for the Graph Ornstein-Uhlenbeck process
Likelihood theory for the Graph Ornstein-Uhlenbeck process
Valentin Courgeau
Almut E. D. Veraart
39
4
0
26 May 2020
Drift Estimation for a Lévy-Driven Ornstein-Uhlenbeck Process with
  Heavy Tails
Drift Estimation for a Lévy-Driven Ornstein-Uhlenbeck Process with Heavy Tails
A. Gushchin
I. Pavlyukevich
Marian Ritsch
21
4
0
25 Nov 2019
Estimating functions for jump-diffusions
Estimating functions for jump-diffusions
N. Jakobsen
Michael Sørensen
38
5
0
01 Sep 2017
Nonparametric Bayesian estimation of a Hölder continuous diffusion
  coefficient
Nonparametric Bayesian estimation of a Hölder continuous diffusion coefficient
S. Gugushvili
Frank van der Meulen
Moritz Schauer
Peter Spreij
25
6
0
22 Jun 2017
Statistical inference for misspecified ergodic Lévy driven stochastic
  differential equation models
Statistical inference for misspecified ergodic Lévy driven stochastic differential equation models
Yuma Uehara
39
11
0
03 Feb 2017
Jump filtering and efficient drift estimation for Lévy-driven SDE's
Jump filtering and efficient drift estimation for Lévy-driven SDE's
A. Gloter
D. Loukianova
H. Mai
38
23
0
16 Mar 2016
Non parametric estimation of the diffusion coefficents of a diffusion
  with jumps
Non parametric estimation of the diffusion coefficents of a diffusion with jumps
Emeline Schmisser
49
1
0
25 Nov 2013
Identifying the successive Blumenthal-Getoor indices of a discretely
  observed process
Identifying the successive Blumenthal-Getoor indices of a discretely observed process
Yacine Ait-Sahalia
J. Jacod
111
15
0
24 Sep 2012
Non-parametric adaptive estimation of the drift for a jump diffusion
  process
Non-parametric adaptive estimation of the drift for a jump diffusion process
Emeline Schmisser
112
33
0
12 Jun 2012
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