References in zbMATH (referenced in 29 articles )

Showing results 1 to 20 of 29.
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  1. Hintz, Erik; Hofert, Marius; Lemieux, Christiane: Normal variance mixtures: distribution, density and parameter estimation (2021)
  2. Jacek Wesołowski, Robert Wieczorkowski, Wojciech Wójciak: Optimality of the recursive Neyman allocation (2021) arXiv
  3. Jason Willwerscheid, Matthew Stephens: ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families (2021) arXiv
  4. Kendal B. Foster, Henrik Singmann: Another Approximation of the First-Passage Time Densities for the Ratcliff Diffusion Decision Model (2021) arXiv
  5. Móri, Tamás F.; Székely, Gábor J.; Rizzo, Maria L.: On energy tests of normality (2021)
  6. Tobias Schoch: wbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regression (2021) not zbMATH
  7. James P. Howard, II: Phonetic Spelling Algorithm Implementations for R (2020) not zbMATH
  8. Martin Happ, Georg Zimmermann, Edgar Brunner, Arne C. Bathke: Pseudo-Ranks: How to Calculate Them Efficiently in R (2020) not zbMATH
  9. Powell, Ben; Smith, Paul A.: Computing expectations and marginal likelihoods for permutations (2020)
  10. Dufour, Jean-Marie; Neves, Julien: Finite-sample inference and nonstandard asymptotics with Monte Carlo tests and \textsfR (2019)
  11. Gaynanova, Irina; Wang, Tianying: Sparse quadratic classification rules via linear dimension reduction (2019)
  12. Iñaki Ucar; Bart Smeets; Arturo Azcorra: simmer: Discrete-Event Simulation for R (2019) not zbMATH
  13. Kirschstein, Thomas; Liebscher, Steffen; Pandolfo, Giuseppe; Porzio, Giovanni C.; Ragozini, Giancarlo: On finite-sample robustness of directional location estimators (2019)
  14. N. Benjamin Erichson, Sergey Voronin, Steven L. Brunton, J. Nathan Kutz: Randomized Matrix Decompositions Using R (2019) not zbMATH
  15. Oleksii Pokotylo; Pavlo Mozharovskyi; Rainer Dyckerhoff: Depth and Depth-Based Classification with R Package ddalpha (2019) not zbMATH
  16. Robert Geitner and Robby Fritzsch and Jürgen Popp and Thomas Bocklitz: corr2D: Implementation of Two-Dimensional Correlation Analysis in R (2019) not zbMATH
  17. Rui Portocarrero Sarmento, Luís Lemos, Mário Cordeiro, Giulio Rossetti, Douglas Cardoso: DynComm R Package - Dynamic Community Detection for Evolving Networks (2019) arXiv
  18. Fattore, Marco; Pelagatti, Matteo; Vittadini, Giorgio: A least squares approach to latent variables extraction in formative-reflective models (2018)
  19. Florian Gerber, Reinhard Furrer: optimParallel: an R Package Providing Parallel Versions of the Gradient-Based Optimization Methods of optim() (2018) arXiv
  20. Leopoldo Catania; Nima Nonejad: Dynamic Model Averaging for Practitioners in Economics and Finance: The eDMA Package (2018) not zbMATH

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