References in zbMATH (referenced in 97 articles , 1 standard article )

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  1. Aisouda Hoshiyar: ordPens: An R package for Selection, Smoothing and Principal Components Analysis for Ordinal Variables (2021) not zbMATH
  2. Benjamin Christoffersen: dynamichazard: Dynamic Hazard Models Using State Space Models (2021) not zbMATH
  3. Christian Thiele; Gerrit Hirschfeld: cutpointr: Improved Estimation and Validation of Optimal Cutpoints in R (2021) not zbMATH
  4. Evandro Konzen, Yafeng Cheng, Jian Qing Shi: Gaussian Process for Functional Data Analysis: The GPFDA Package for R (2021) arXiv
  5. Fasiolo, M., Wood, S. N., Zaffran, M., Nedellec, R., Goude, Y. : qgam: Bayesian Nonparametric Quantile Regression Modeling in R (2021) not zbMATH
  6. Hadrien Charvat, Aurelien Belot: mexhaz: An R Package for Fitting Flexible Hazard-Based Regression Models for Overall and Excess Mortality with a Random Effect (2021) not zbMATH
  7. Jakob A. Dambon, Fabio Sigrist, Reinhard Furrer: varycoef: An R Package for Gaussian Process-based Spatially Varying Coefficient Models (2021) arXiv
  8. Jared D. Huling, Menggang Yu: Subgroup Identification Using the personalized Package (2021) not zbMATH
  9. Machado, Robson J. M.; van den Hout, Ardo; Marra, Giampiero: Penalised maximum likelihood estimation in multi-state models for interval-censored data (2021)
  10. Mahdi, Esam; Alshamari, Sana; Khashabi, Maryam; Alkorbi, Alya: Hierarchical Bayesian spatio-temporal modeling for (\mathrmPM_10) prediction (2021)
  11. Mikšová, Dominika; Rieser, Christopher; Filzmoser, Peter: Identification of mineralization in geochemistry Along a transect based on the spatial curvature of log-ratios (2021)
  12. Umlauf, N., Klein, N., Simon, T., Zeileis, A: bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond) (2021) not zbMATH
  13. Ben Youngman: evgam: An R package for Generalized Additive Extreme Value Models (2020) arXiv
  14. Ferrara, Giancarlo: Stochastic frontier models using R (2020)
  15. Greven, Sonja; Scheipl, Fabian: Comments on: “Inference and computation with generalized additive models and their extensions” (2020)
  16. Hasler, Caren; Craiu, Radu V.: Nonparametric imputation method for nonresponse in surveys (2020)
  17. Miller, David L.; Glennie, Richard; Seaton, Andrew E.: Understanding the stochastic partial differential equation approach to smoothing (2020)
  18. Monterrubio-Gómez, Karla; Roininen, Lassi; Wade, Sara; Damoulas, Theodoros; Girolami, Mark: Posterior inference for sparse hierarchical non-stationary models (2020)
  19. Pham, Manh Cuong; Anderson, Heather Margot; Duong, Huu Nhan; Lajbcygier, Paul: The effects of trade size and market depth on immediate price impact in a limit order book market (2020)
  20. Puth, Marie-Therese; Tutz, Gerhard; Heim, Nils; Münster, Eva; Schmid, Matthias; Berger, Moritz: Tree-based modeling of time-varying coefficients in discrete time-to-event models (2020)

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