| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Bayesian nonparametric clustering for large data sets
|
Zuanetti, Daiane Aparecida
|
|
2018
|
29 |
2 |
p. 203-215
|
artikel
|
| 2 |
GPU-accelerated Gibbs sampling: a case study of the Horseshoe Probit model
|
Terenin, Alexander
|
|
2018
|
29 |
2 |
p. 301-310
|
artikel
|
| 3 |
Interpretable sparse SIR for functional data
|
Picheny, Victor
|
|
2018
|
29 |
2 |
p. 255-267
|
artikel
|
| 4 |
Learning causal structure from mixed data with missing values using Gaussian copula models
|
Cui, Ruifei
|
|
2018
|
29 |
2 |
p. 311-333
|
artikel
|
| 5 |
Minimum spectral connectivity projection pursuit
|
Hofmeyr, David P.
|
|
2018
|
29 |
2 |
p. 391-414
|
artikel
|
| 6 |
Orthant probabilities of elliptical distributions from orthogonal projections to subspaces
|
Nomura, Noboru
|
|
2018
|
29 |
2 |
p. 289-300
|
artikel
|
| 7 |
Prior specification for binary Markov mesh models
|
Luo, Xin
|
|
2018
|
29 |
2 |
p. 367-389
|
artikel
|
| 8 |
Rank aggregation using latent-scale distance-based models
|
Yu, Philip L. H.
|
|
2018
|
29 |
2 |
p. 335-349
|
artikel
|
| 9 |
Sampling of pairs in pairwise likelihood estimation for latent variable models with categorical observed variables
|
Papageorgiou, Ioulia
|
|
2018
|
29 |
2 |
p. 351-365
|
artikel
|
| 10 |
Selection of sparse vine copulas in high dimensions with the Lasso
|
Müller, Dominik
|
|
2018
|
29 |
2 |
p. 269-287
|
artikel
|
| 11 |
Stochastic proximal-gradient algorithms for penalized mixed models
|
Fort, Gersende
|
|
2018
|
29 |
2 |
p. 231-253
|
artikel
|
| 12 |
Tree-structured modelling of varying coefficients
|
Berger, Moritz
|
|
2018
|
29 |
2 |
p. 217-229
|
artikel
|
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