References in zbMATH (referenced in 19 articles )

Showing results 1 to 19 of 19.
Sorted by year (citations)

  1. Daniel Peña, Ezequiel Smucler, Victor Yohai: gdpc: An R Package for Generalized Dynamic Principal Components (2020) not zbMATH
  2. Nicholas J Tierney, Dianne Cook, Tania Prvan: brolgar: An R package to BRowse Over Longitudinal Data Graphically and Analytically in R (2020) arXiv
  3. David Ardia; Kris Boudt; Leopoldo Catania: Generalized Autoregressive Score Models in R: The GAS Package (2019) not zbMATH
  4. Knoll, Julian; Stübinger, Johannes; Grottke, Michael: Exploiting social media with higher-order factorization machines: statistical arbitrage on high-frequency data of the S&P 500 (2019)
  5. Hofert, Marius; Kojadinovic, Ivan; Mächler, Martin; Yan, Jun: Elements of copula modeling with R (2018)
  6. Imbert, Alyssa; Vialaneix, Nathalie: Exploring, handling, imputing and evaluating missing data in statistical analyses: a review of existing approaches (2018)
  7. Leopoldo Catania; Nima Nonejad: Dynamic Model Averaging for Practitioners in Economics and Finance: The eDMA Package (2018) not zbMATH
  8. Simon A. C. Taylor; Timothy Park; Idris A. Eckley: Multivariate Locally Stationary Wavelet Process Analysis with the mvLSW R Package (2018) arXiv
  9. Stübinger, Johannes; Endres, Sylvia: Pairs trading with a mean-reverting jump-diffusion model on high-frequency data (2018)
  10. Stübinger, Johannes; Mangold, Benedikt; Krauss, Christopher: Statistical arbitrage with vine copulas (2018)
  11. Howard, James P. II: Computational methods for numerical analysis with R (2017)
  12. Krauss, Christopher; Do, Xuan Anh; Huck, Nicolas: Deep neural networks, gradient-boosted trees, random forests: statistical arbitrage on the S&P 500 (2017)
  13. RESSTE Network; et al.: Analyzing spatio-temporal data with R: everything you always wanted to know -- but were afraid to ask (2017)
  14. Sebastian Meyer and Leonhard Held and Michael Höhle: Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance (2017) not zbMATH
  15. Maëlle Salmon; Dirk Schumacher; Michael Höhle: Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance (2016) not zbMATH
  16. Arratia, Argimiro: Computational finance. An introductory course with R (2014)
  17. Tsay, Ruey S.: An introduction to analysis of financial data with R. (2013)
  18. Edzer Pebesma: spacetime: Spatio-Temporal Data in R (2012) not zbMATH
  19. Garrett Grolemund; Hadley Wickham: Dates and Times Made Easy with lubridate (2011) not zbMATH