References in zbMATH (referenced in 174 articles )

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  1. Cao, J., Genton, M. G., Keyes, D. E., Turkiyyah, G. M. : tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student-t Probabilities with Low-Rank Methods in R (2022) not zbMATH
  2. Erik Hintz, Marius Hofert, Christiane Lemieux: Multivariate Normal Variance Mixtures in R: The R Package nvmix (2022) not zbMATH
  3. Frick, Susanne: Modeling faking in the multidimensional forced-choice format: the faking mixture model (2022)
  4. Hu, Shuwen; Wang, You-Gan; Fu, Liya: Performance of variance estimators in the analysis of longitudinal data with a large cluster size (2022)
  5. Nestler, Steffen; Humberg, Sarah: A Lasso and a regression tree mixed-effect model with random effects for the level, the residual variance, and the autocorrelation (2022)
  6. Scutari, Marco; Denis, Jean-Baptiste: Bayesian networks. With examples in R (2022)
  7. Tong, Hung; Tortora, Cristina: Model-based clustering and outlier detection with missing data (2022)
  8. Adegoke, Nurudeen A.; Smith, Adam N. H.; Anderson, Marti J.; Pawley, Matthew D. M.: MEWMA charts when parameters are estimated with applications in gene expression and bimetal thermostat monitoring (2021)
  9. Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel: Statistical Network Analysis with Bergm (2021) arXiv
  10. Allard, Denis; Fabbri, Paolo; Gaetan, Carlo: Modeling and simulating depositional sequences using latent Gaussian random fields (2021)
  11. Benjamin Christoffersen, Mark Clements, Keith Humphreys, Hedvig Kjellström: Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types (2021) arXiv
  12. Cristina Tortora, Ryan P. Browne, Aisha ElSherbiny, Brian C. Franczak, Paul D. McNicholas: Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package (2021) not zbMATH
  13. Evandro Konzen, Yafeng Cheng, Jian Qing Shi: Gaussian Process for Functional Data Analysis: The GPFDA Package for R (2021) arXiv
  14. Graßhoff, Ulrike; Großmann, Heiko; Holling, Heinz; Schwabe, Rainer: Optimal design for probit choice models with dependent utilities (2021)
  15. Hintz, Erik; Hofert, Marius; Lemieux, Christiane: Normal variance mixtures: distribution, density and parameter estimation (2021)
  16. Hudecová, Šárka; Šiman, Miroslav: Testing symmetry around a subspace (2021)
  17. Jose A. Ordonez, Christian E. Galarza, Victor H. Lachos: Spatial Censored Regression Models in R: The CensSpatial package (2021) arXiv
  18. Kuschnig, N., Vashold, L.: BVAR: Bayesian Vector Autoregressions with Hierarchical Prior Selection in R (2021) not zbMATH
  19. Li, Bo: Simultaneous confidence intervals of estimable functions based on quasi-likelihood in generalized linear models for over-dispersed data (2021)
  20. Michael Stephanou, Melvin Varughese: hermiter: R package for Sequential Nonparametric Estimation (2021) arXiv

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