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Bennet Ströh
Bennet Ströh
Imperial College London
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Title
Cited by
Cited by
Year
Continuous-time locally stationary time series models
A Bitter, R Stelzer, B Ströh
Advances in Applied Probability 55 (3), 965-998, 2023
62023
Central limit theorems for stationary random fields under weak dependence with application to ambit and mixed moving average fields
IV Curato, R Stelzer, B Ströh
The Annals of Applied Probability 32 (3), 1814-1861, 2022
62022
Statistical inference for continuous-time locally stationary processes using stationary approximations
B Ströh
arXiv preprint arXiv:2105.04390, 2021
52021
Approximations and asymptotics of continuoustime locally stationary processes with application to time-varying Lévy-driven state space models
R Stelzer, B Ströh
Preprint. Available at, 2021
42021
Mixed moving average field guided learning for spatio-temporal data
IV Curato, O Furat, L Proietti, B Stroeh
arXiv preprint arXiv:2301.00736, 2023
2023
Mixed moving average field guided learning for spatio-temporal data
I Valentina Curato, O Furat, L Proietti, B Stroeh
arXiv e-prints, arXiv: 2301.00736, 2023
2023
Asymptotic theory for weakly dependent random fields and locally stationary continuous-time models
B Ströh
Universität Ulm, 2021
2021
Asymptotics of time-varying processes in continuous-time using locally stationary approximations
R Stelzer, B Ströh
arXiv preprint arXiv:2105.00223, 2021
2021
Approximations and asymptotics of continuous-time locally stationary processes
R Stelzer, B Ströh
2021
Central limit theorems for stationary random fields under weak dependence with application to ambit and mixed moving average fields
I Valentina Curato, R Stelzer, B Ströh
arXiv e-prints, arXiv: 2007.10874, 2020
2020
Approximations, asymptotics and inference for continuous-time locally stationary processes
B Ströh
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