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Mixed Gaussian processes: A filtering approach
v1v2v3v4v5v6v7 (latest)

Mixed Gaussian processes: A filtering approach

30 August 2012
C. Cai
P. Chigansky
M. Kleptsyna
ArXiv (abs)PDFHTML

Papers citing "Mixed Gaussian processes: A filtering approach"

6 / 6 papers shown
Rate-optimal estimation of mixed semimartingales
Rate-optimal estimation of mixed semimartingalesSocial Science Research Network (SSRN), 2022
Carsten H. Chong
T. Delerue
Fabian Mies
296
10
0
21 Jul 2022
Estimation of the Hurst parameter from continuous noisy data
Estimation of the Hurst parameter from continuous noisy dataElectronic Journal of Statistics (EJS), 2022
P. Chigansky
M. Kleptsyna
180
8
0
23 May 2022
Maximum likelihood estimation for stochastic differential equations
  driven by a mixed fractional Brownian motion with random effects
Maximum likelihood estimation for stochastic differential equations driven by a mixed fractional Brownian motion with random effects
B. P. Rao
225
4
0
30 Apr 2021
Parametric Estimation for Processes Driven by Infinite Dimensional Mixed
  Fractional Brownian Motion
Parametric Estimation for Processes Driven by Infinite Dimensional Mixed Fractional Brownian Motion
B. P. Rao
62
0
0
09 Mar 2021
A Note On Inference for the Mixed Fractional Ornstein-Uhlenbeck Process
  with Drift
A Note On Inference for the Mixed Fractional Ornstein-Uhlenbeck Process with Drift
C. Cai
Min Zhang
88
0
0
08 Sep 2020
Maximum likelihood estimation for mixed fractional Vasicek processes
Maximum likelihood estimation for mixed fractional Vasicek processesFractal and Fractional (FF), 2020
C. Cai
Yinzhong Huang
Weilin Xiao
137
4
0
30 Mar 2020
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