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Central limit theorems for stationary random fields under weak
  dependence with application to ambit and mixed moving average fields
v1v2 (latest)

Central limit theorems for stationary random fields under weak dependence with application to ambit and mixed moving average fields

21 July 2020
I. Curato
R. Stelzer
Bennet Ströh
ArXiv (abs)PDFHTML

Papers citing "Central limit theorems for stationary random fields under weak dependence with application to ambit and mixed moving average fields"

3 / 3 papers shown
Mixed moving average field guided learning for spatio-temporal data
Mixed moving average field guided learning for spatio-temporal dataElectronic Journal of Statistics (EJS), 2023
I. Curato
O. Furat
Lorenzo Proietti
Bennet Stroeh
AI4TS
383
3
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
174
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
245
0
0
01 May 2021
1
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