ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2208.11965
  4. Cited By
Parameter estimation of discretely observed interacting particle systems

Parameter estimation of discretely observed interacting particle systems

25 August 2022
Chiara Amorino
A. Heidari
Vytaut.e Pilipauskait.e
M. Podolskij
ArXivPDFHTML

Papers citing "Parameter estimation of discretely observed interacting particle systems"

11 / 11 papers shown
Title
Kinetic interacting particle system: parameter estimation from complete
  and partial discrete observations
Kinetic interacting particle system: parameter estimation from complete and partial discrete observations
Chiara Amorino
Vytaut.e Pilipauskait.e
21
1
0
14 Oct 2024
Sampling effects on Lasso estimation of drift functions in
  high-dimensional diffusion processes
Sampling effects on Lasso estimation of drift functions in high-dimensional diffusion processes
Chiara Amorino
Francisco Pina
M. Podolskij
27
1
0
16 Aug 2024
Bayesian Nonparametric Inference in McKean-Vlasov models
Bayesian Nonparametric Inference in McKean-Vlasov models
Richard Nickl
G. Pavliotis
Kolyan Ray
25
5
0
25 Apr 2024
On nonparametric estimation of the interaction function in particle
  system models
On nonparametric estimation of the interaction function in particle system models
Denis Belomestny
M. Podolskij
Shi-Yuan Zhou
32
2
0
22 Feb 2024
Non-parametric estimates for graphon mean-field particle systems
Non-parametric estimates for graphon mean-field particle systems
Erhan Bayraktar
Hongyi Zhou
OT
18
1
0
08 Feb 2024
Evolving privacy: drift parameter estimation for discretely observed
  i.i.d. diffusion processes under LDP
Evolving privacy: drift parameter estimation for discretely observed i.i.d. diffusion processes under LDP
Chiara Amorino
A. Gloter
Hélene Halconruy
20
1
0
31 Jan 2024
Polynomial rates via deconvolution for nonparametric estimation in
  McKean-Vlasov SDEs
Polynomial rates via deconvolution for nonparametric estimation in McKean-Vlasov SDEs
Chiara Amorino
Denis Belomestny
Vytaut.e Pilipauskait.e
M. Podolskij
Shi-Yuan Zhou
34
7
0
09 Jan 2024
Parameter Inference for Hypo-Elliptic Diffusions under a Weak Design
  Condition
Parameter Inference for Hypo-Elliptic Diffusions under a Weak Design Condition
Yuga Iguchi
A. Beskos
27
4
0
07 Dec 2023
On Lasso estimator for the drift function in diffusion models
On Lasso estimator for the drift function in diffusion models
Gabriela Ciolek
D. Marushkevych
M. Podolskij
18
4
0
13 Sep 2022
Parameter Estimation for the McKean-Vlasov Stochastic Differential
  Equation
Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation
Louis Sharrock
N. Kantas
P. Parpas
G. Pavliotis
24
26
0
25 Jun 2021
Maximum likelihood estimation of potential energy in interacting
  particle systems from single-trajectory data
Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data
Xiaohui Chen
28
25
0
21 Jul 2020
1