References in zbMATH (referenced in 205 articles , 1 standard article )

Showing results 1 to 20 of 205.
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  1. Agostinelli, Claudio; Valdora, Marina; Yohai, Victor J.: Initial robust estimation in generalized linear models (2019)
  2. Boonstra, Philip S.; Barbaro, Ryan P.; Sen, Ananda: Default priors for the intercept parameter in logistic regressions (2019)
  3. David Ardia; Kris Boudt; Leopoldo Catania: Generalized Autoregressive Score Models in R: The GAS Package (2019) not zbMATH
  4. García, Oscar: Estimating reducible stochastic differential equations by conversion to a least-squares problem (2019)
  5. Slawski, Martin; Ben-David, Emanuel: Linear regression with sparsely permuted data (2019)
  6. Alicja Gosiewska; Przemyslaw Biecek: auditor: an R Package for Model-Agnostic Visual Validation and Diagnostic (2018) arXiv
  7. Asfha, Huruy Debessay; Kilinc, Betul Kan: Appraisal of performance of three tree-based classification methods (2018)
  8. Bodnar, Taras; Parolya, Nestor; Schmid, Wolfgang: Estimation of the global minimum variance portfolio in high dimensions (2018)
  9. Borcard, Daniel; Gillet, François; Legendre, Pierre: Numerical ecology with R (2018)
  10. Chaves, Luis Fernando: Survival schedules and the estimation of the basic reproduction number ((\mathrmR_0)) without the assumption of extreme cases (2018)
  11. Efromovich, Sam: Missing and modified data in nonparametric estimation: with R examples (2018)
  12. El Karoui, Noureddine; Purdom, Elizabeth: Can we trust the bootstrap in high-dimensions? The case of linear models (2018)
  13. Eun-Kyung Lee: PPtreeViz: An R Package for Visualizing Projection Pursuit Classification Trees (2018) not zbMATH
  14. Fagundes, R. S.; Uribe-Opazo, M. A.; Galea, M.; Guedes, L. P. C.: Spatial variability in slash linear modeling with finite second moment (2018)
  15. Galimberti, Giuliano; Manisi, Annamaria; Soffritti, Gabriele: Modelling the role of variables in model-based cluster analysis (2018)
  16. Harnau, Jonas; Nielsen, Bent: Over-dispersed age-period-cohort models (2018)
  17. Hofert, Marius; Kojadinovic, Ivan; Mächler, Martin; Yan, Jun: Elements of copula modeling with R (2018)
  18. Lars Rönnegård, Xia Shen, Moudud Alam: hglm: A Package for Fitting Hierarchical Generalized Linear Models (2018) not zbMATH
  19. Lloyd-Jones, Luke R.; Nguyen, Hien D.; McLachlan, Geoffrey J.: A globally convergent algorithm for lasso-penalized mixture of linear regression models (2018)
  20. Lukas W. Lehnert, Hanna Meyer, Wolfgang A. Obermeier, Brenner Silva, Bianca Regeling, Jörg Bendix: Hyperspectral Data Analysis in R: the hsdar Package (2018) arXiv

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