References in zbMATH (referenced in 240 articles , 2 standard articles )

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  1. Brairi, Houssem; Medkour, Tarek: Testing discrete-valued time series for whiteness (2020)
  2. Divisekara, Roshani W.; Nawarathna, Ruwan D.; Nawarathna, Lakshika S.: Forecasting of global market prices of major financial instruments (2020)
  3. Gao, Xu; Shen, Weining; Shahbaba, Babak; Fortin, Norbert J.; Ombao, Hernando: Evolutionary state-space model and its application to time-frequency analysis of local field potentials (2020)
  4. Girard, Didier A.: Asymptotic near-efficiency of the “Gibbs-energy (GE) and empirical-variance” estimating functions for fitting Matérn models. - II: accounting for measurement errors via “Conditional GE mean” (2020)
  5. Hadj-Amar, Beniamino; Rand, Bärbel Finkenstädt; Fiecas, Mark; Lévi, Francis; Huckstepp, Robert: Bayesian model search for nonstationary periodic time series (2020)
  6. Huang, Danyang; Wang, Feifei; Zhu, Xuening; Wang, Hansheng: Two-mode network autoregressive model for large-scale networks (2020)
  7. Izhar Asael Alonzo Matamoros, Alicia Nieto-Reyes: An R package for Normality in Stationary Processes (2020) arXiv
  8. Izhar Asael Alonzo Matamoros, Cristian Andres Cruz Torres: varstan: An R package for Bayesian analysis of structured time series models with Stan (2020) arXiv
  9. Katzfuss, Matthias; Stroud, Jonathan R.; Wikle, Christopher K.: Ensemble Kalman methods for high-dimensional hierarchical dynamic space-time models (2020)
  10. Li, Yang; Zhu, Zhengyuan: Spatio-temporal modeling of global ozone data using convolution (2020)
  11. Maitra, Trisha; Bhattacharya, Sourabh: On classical and Bayesian asymptotics in state space stochastic differential equations (2020)
  12. Meier, Alexander; Kirch, Claudia; Meyer, Renate: Bayesian nonparametric analysis of multivariate time series: a matrix gamma process approach (2020)
  13. Nunes, Matthew: Book review of: R. H. Shumway and D. S. Stoffer, Time series. A data analysis approach using R (2020)
  14. Saulo, Helton; Vila, Roberto; Vilca, Filidor; Martínez, José L.: On asymmetric regression models with allowance for temporal dependence (2020)
  15. van Ackooij, W.; Warin, X.: On conditional cuts for stochastic dual dynamic programming (2020)
  16. Yan, Yuan; Jeong, Jaehong; Genton, Marc G.: Multivariate transformed Gaussian processes (2020)
  17. Albarracin, Orlando Yesid Esparza; Alencar, Airlane Pereira; Ho, Linda Lee: Generalized autoregressive and moving average models: multicollinearity, interpretation and a new modified model (2019)
  18. Azimmohseni, M.; Khalafi, M.; Kordkatuli, M.: Time series analysis of covariance based on linear transfer function models (2019)
  19. Bakhtiari, Behzad; Sadoghi Yazdi, Hadi: Collaborative linear dynamical system identification by scarce relevant/irrelevant observations (2019)
  20. Binkowski, Karol; He, Peilun; Kordzakhia, Nino; Shevchenko, Pavel: On the parameter estimation in the Schwartz-Smith’s two-factor model (2019)

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