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Weak dependence and GMM estimation of supOU and mixed moving average
  processes
v1v2v3v4 (latest)

Weak dependence and GMM estimation of supOU and mixed moving average processes

16 July 2018
I. Curato
R. Stelzer
ArXiv (abs)PDFHTML

Papers citing "Weak dependence and GMM estimation of supOU and mixed moving average processes"

5 / 5 papers shown
Title
Periodic trawl processes: Simulation, statistical inference and
  applications in energy markets
Periodic trawl processes: Simulation, statistical inference and applications in energy markets
Almut E. D. Veraart
30
4
0
07 Mar 2023
Mixed moving average field guided learning for spatio-temporal data
Mixed moving average field guided learning for spatio-temporal data
I. Curato
O. Furat
Lorenzo Proietti
Bennet Stroeh
AI4TS
94
2
0
02 Jan 2023
Statistical inference for continuous-time locally stationary processes
  using stationary approximations
Statistical inference for continuous-time locally stationary processes using stationary approximations
Bennet Ströh
30
2
0
10 May 2021
Asymptotics of time-varying processes in continuous-time using locally
  stationary approximations
Asymptotics of time-varying processes in continuous-time using locally stationary approximations
R. Stelzer
Bennet Ströh
55
0
0
01 May 2021
Central limit theorems for stationary random fields under weak
  dependence with application to ambit and mixed moving average fields
Central limit theorems for stationary random fields under weak dependence with application to ambit and mixed moving average fields
I. Curato
R. Stelzer
Bennet Ströh
13
5
0
21 Jul 2020
1