References in zbMATH (referenced in 29 articles )

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  1. Esam Mahdi: portes: An R Package for Portmanteau Tests in Time Series Models (2020) arXiv
  2. Stephan Smeekes, Ines Wilms : bootUR: An R Package for Bootstrap Unit Root Tests (2020) arXiv
  3. Chatfield, Chris; Xing, Haipeng: The analysis of time series. An introduction with R (2019)
  4. David Ardia; Keven Bluteau; Kris Boudt; Leopoldo Catania; Denis-Alexandre Trottier: Markov-Switching GARCH Models in R: The MSGARCH Package (2019) not zbMATH
  5. Ramasubramanian, Karthik; Singh, Abhishek: Machine learning using R. With time series and industry-based use cases in R (2019)
  6. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  7. Hendrych, Radek; Cipra, Tomáš: Self-weighted recursive estimation of GARCH models (2018)
  8. Iacus, Stefano M.; Yoshida, Nakahiro: Simulation and inference for stochastic processes with YUIMA. A comprehensive R framework for SDEs and other stochastic processes (2018)
  9. Mair, Patrick: Modern psychometrics with R (2018)
  10. Stübinger, Johannes; Endres, Sylvia: Pairs trading with a mean-reverting jump-diffusion model on high-frequency data (2018)
  11. Stübinger, Johannes; Mangold, Benedikt; Krauss, Christopher: Statistical arbitrage with vine copulas (2018)
  12. Allison, James S.; Pretorius, Charl: A Monte Carlo evaluation of the performance of two new tests for symmetry (2017)
  13. Nalan Baştürk and Stefano Grassi and Lennart Hoogerheide and Anne Opschoor and Herman van Dijk: The R Package MitISEM: Efficient and Robust Simulation Procedures for Bayesian Inference (2017) not zbMATH
  14. RESSTE Network; et al.: Analyzing spatio-temporal data with R: everything you always wanted to know -- but were afraid to ask (2017)
  15. Stefano Iacus; Lorenzo Mercuri; Edit Rroji: COGARCH(p, q): Simulation and Inference with the yuima Package (2017) not zbMATH
  16. Florent Baty; Christian Ritz; Sandrine Charles; Martin Brutsche; Jean-Pierre Flandrois; Marie-Laure Delignette-Muller: A Toolbox for Nonlinear Regression in R: The Package nlstools (2015) not zbMATH
  17. Härdle, Wolfgang Karl; Hlávka, Zdeněk: Multivariate statistics. Exercises and solutions (2015)
  18. Arratia, Argimiro: Computational finance. An introductory course with R (2014)
  19. Bücher, Axel; Kojadinovic, Ivan; Rohmer, Tom; Segers, Johan: Detecting changes in cross-sectional dependence in multivariate time series (2014)
  20. Kelly, Morgan; Gráda, Cormac Ó.: Change points and temporal dependence in reconstructions of annual temperature: did Europe experience a little ice age? (2014)

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