| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A boosting framework for positive-unlabeled learning
|
Zhao, Yawen
|
|
|
35 |
1 |
|
artikel
|
| 2 |
A limit formula and recursive algorithm for multivariate Normal tail probability
|
Au, Siu-Kui
|
|
|
35 |
1 |
|
artikel
|
| 3 |
A neural network-based adaptive cut-off approach to normality testing for dependent data
|
Kim, Minwoo
|
|
|
35 |
1 |
|
artikel
|
| 4 |
Bootstrap estimation of the proportion of outliers in robust regression
|
Heng, Qiang
|
|
|
35 |
1 |
|
artikel
|
| 5 |
Estimating a signal subspace in the presence of impulsive noise
|
Bassett, Robert L.
|
|
|
35 |
1 |
|
artikel
|
| 6 |
Exact gradient evaluation for adaptive quadrature approximate marginal likelihood in mixed models for grouped data
|
Stringer, Alex
|
|
|
35 |
1 |
|
artikel
|
| 7 |
funBIalign: a hierachical algorithm for functional motif discovery based on mean squared residue scores
|
Di Iorio, Jacopo
|
|
|
35 |
1 |
|
artikel
|
| 8 |
Gaussian measures conditioned on nonlinear observations: consistency, MAP estimators, and simulation
|
Chen, Yifan
|
|
|
35 |
1 |
|
artikel
|
| 9 |
Huber-energy measure quantization
|
Turinici, Gabriel
|
|
|
35 |
1 |
|
artikel
|
| 10 |
Improving power by conditioning on less in post-selection inference for changepoints
|
Carrington, Rachel
|
|
|
35 |
1 |
|
artikel
|
| 11 |
INLA+: approximate Bayesian inference for non-sparse models using HPC
|
Abdul Fattah, Esmail
|
|
|
35 |
1 |
|
artikel
|
| 12 |
K-fold cross-validation based frequentist model averaging for linear models with nonignorable missing responses
|
Liang, Zhongqi
|
|
|
35 |
1 |
|
artikel
|
| 13 |
Laplace-based strategies for Bayesian optimal experimental design with nuisance uncertainty
|
Bartuska, Arved
|
|
|
35 |
1 |
|
artikel
|
| 14 |
Large-scale constrained Gaussian processes for shape-restricted function estimation
|
Maatouk, Hassan
|
|
|
35 |
1 |
|
artikel
|
| 15 |
Multilevel importance sampling for rare events associated with the McKean–Vlasov equation
|
Ben Rached, Nadhir
|
|
|
35 |
1 |
|
artikel
|
| 16 |
Multi-task learning via robust regularized clustering with non-convex group penalties
|
Okazaki, Akira
|
|
|
35 |
1 |
|
artikel
|
| 17 |
Multivariate zero-inflated INGARCH models: Bayesian inference and composite likelihood approach
|
Piancastelli, Luiza S. C.
|
|
|
35 |
1 |
|
artikel
|
| 18 |
Online robust estimation and bootstrap inference for function-on-scalar regression
|
Cheng, Guanghui
|
|
|
35 |
1 |
|
artikel
|
| 19 |
Optimal subsampling for generalized additive models on large-scale datasets
|
Li, Lili
|
|
|
35 |
1 |
|
artikel
|
| 20 |
Probabilistic time integration for semi-explicit PDAEs
|
Altmann, R.
|
|
|
35 |
1 |
|
artikel
|
| 21 |
Random perturbation subsampling for rank regression with massive data
|
He, Sijin
|
|
|
35 |
1 |
|
artikel
|
| 22 |
Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach
|
Qiao, Nan
|
|
|
35 |
1 |
|
artikel
|
| 23 |
Simulating signed mixtures
|
Robert, Christian P.
|
|
|
35 |
1 |
|
artikel
|
| 24 |
The clustered Mallows model
|
Piancastelli, Luiza S. C.
|
|
|
35 |
1 |
|
artikel
|
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