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Modern Stochastics: Theory and Applications


Cited by 5
Note on AR(1)-characterisation of stationary processes and model fitting

2024 Portland International Conference on Management of Engineering and Technology (PICMET)
Tsung-Han Ke, Hung-Chun Huang, Hsin-Yu Shih
https://doi.org/10.23919/PICMET64035.2024.10653115
Conference:  (2024), p. 1
AR(1) processes driven by second-chaos white noise: Berry–Esséen bounds for quadratic variation and parameter estimation
Soukaina Douissi, Khalifa Es-Sebaiy, Fatimah Alshahrani, Frederi G. Viens
https://doi.org/10.1016/j.spa.2020.02.007
Journal:  Stochastic Processes and their Applications Volume 150 (2022), p. 886
Modeling and Estimation of Multivariate Discrete and Continuous Time Stationary Processes
Marko Voutilainen
https://doi.org/10.3389/fams.2020.00043
Journal:  Frontiers in Applied Mathematics and Statistics Volume 6 (2020)
On the ARCH model with stationary liquidity
Marko Voutilainen, Pauliina Ilmonen, Soledad Torres, Ciprian Tudor, Lauri Viitasaari
https://doi.org/10.1007/s00184-020-00779-x
Journal:  Metrika Volume 84, Issue 2 (2021), p. 195
Vector‐valued generalized Ornstein–Uhlenbeck processes: Properties and parameter estimation
Marko Voutilainen, Lauri Viitasaari, Pauliina Ilmonen, Soledad Torres, Ciprian Tudor
https://doi.org/10.1111/sjos.12552
Journal:  Scandinavian Journal of Statistics Volume 49, Issue 3 (2022), p. 992


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