| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Bayesian parametrized method for interval-valued regression models
|
Xu, Min
|
|
|
33 |
3 |
|
artikel
|
| 2 |
A sparse matrix formulation of model-based ensemble Kalman filter
|
Gryvill, Håkon
|
|
|
33 |
3 |
|
artikel
|
| 3 |
Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference
|
Kang, Myeongjong
|
|
|
33 |
3 |
|
artikel
|
| 4 |
Distributed statistical optimization for non-randomly stored big data with application to penalized learning
|
Wang, Kangning
|
|
|
33 |
3 |
|
artikel
|
| 5 |
Efficient and generalizable tuning strategies for stochastic gradient MCMC
|
Coullon, Jeremie
|
|
|
33 |
3 |
|
artikel
|
| 6 |
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach
|
Antonazzo, Filippo
|
|
|
33 |
3 |
|
artikel
|
| 7 |
Functional concurrent hidden Markov model
|
Zhou, Xiaoxiao
|
|
|
33 |
3 |
|
artikel
|
| 8 |
General Jackknife empirical likelihood and its applications
|
Liu, Yiming
|
|
|
33 |
3 |
|
artikel
|
| 9 |
Globally and symmetrically identified Bayesian multinomial probit model
|
Pan, Maolin
|
|
|
33 |
3 |
|
artikel
|
| 10 |
Learning-based importance sampling via stochastic optimal control for stochastic reaction networks
|
Ben Hammouda, Chiheb
|
|
|
33 |
3 |
|
artikel
|
| 11 |
Maximum likelihood estimation of the Weibull distribution with reduced bias
|
Makalic, Enes
|
|
|
33 |
3 |
|
artikel
|
| 12 |
On estimating the structure factor of a point process, with applications to hyperuniformity
|
Hawat, Diala
|
|
|
33 |
3 |
|
artikel
|
| 13 |
On the optimality of the Oja’s algorithm for online PCA
|
Liang, Xin
|
|
|
33 |
3 |
|
artikel
|
| 14 |
Stochastic variable metric proximal gradient with variance reduction for non-convex composite optimization
|
Fort, Gersende
|
|
|
33 |
3 |
|
artikel
|
| 15 |
The first-passage-time moments for the Hougaard process and its Birnbaum–Saunders approximation
|
Peng, Chien-Yu
|
|
|
33 |
3 |
|
artikel
|
| 16 |
The limited-memory recursive variational Gaussian approximation (L-RVGA)
|
Lambert, Marc
|
|
|
33 |
3 |
|
artikel
|
| 17 |
Variable selection and regularization via arbitrary rectangle-range generalized elastic net
|
Ding, Yujia
|
|
|
33 |
3 |
|
artikel
|
| 18 |
Variable selection using a smooth information criterion for distributional regression models
|
O’Neill, Meadhbh
|
|
|
33 |
3 |
|
artikel
|
| 19 |
Variational Tobit Gaussian Process Regression
|
Basson, Marno
|
|
|
33 |
3 |
|
artikel
|
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