| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A convex programming solution based debiased estimator for quantile with missing response and high-dimensional covariables
|
Su, Miaomiao
|
|
|
168 |
C |
p.
|
artikel
|
| 2 |
A likelihood-based boosting algorithm for factor analysis models with binary data
|
Battauz, Michela
|
|
|
168 |
C |
p.
|
artikel
|
| 3 |
A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA
|
Zhang, Jin-Ting
|
|
|
168 |
C |
p.
|
artikel
|
| 4 |
An objective Bayes factor with improper priors
|
Villa, Cristiano
|
|
|
168 |
C |
p.
|
artikel
|
| 5 |
Clustering multivariate functional data using unsupervised binary trees
|
Golovkine, Steven
|
|
|
168 |
C |
p.
|
artikel
|
| 6 |
Collaboration mechanisms and community detection of statisticians based on ERGMs and kNN-walktrap
|
Liu, Jie
|
|
|
168 |
C |
p.
|
artikel
|
| 7 |
Conditional generalized estimating equations of mean-variance-correlation for clustered data
|
Luo, Renwen
|
|
|
168 |
C |
p.
|
artikel
|
| 8 |
Conditional independence test of failure and truncation times: Essential tool for method selection
|
Ning, Jing
|
|
|
168 |
C |
p.
|
artikel
|
| 9 |
Confidence intervals for parameters in high-dimensional sparse vector autoregression
|
Zhu, Ke
|
|
|
168 |
C |
p.
|
artikel
|
| 10 |
Correcting for sample selection bias in Bayesian distributional regression models
|
Wiemann, Paul F.V.
|
|
|
168 |
C |
p.
|
artikel
|
| 11 |
Doubly robust estimation in causal inference with missing outcomes: With an application to the Aerobics Center Longitudinal Study
|
Wei, Kecheng
|
|
|
168 |
C |
p.
|
artikel
|
| 12 |
Editorial Board
|
|
|
|
168 |
C |
p.
|
artikel
|
| 13 |
Flexible quantile contour estimation for multivariate functional data: Beyond convexity
|
Agarwal, Gaurav
|
|
|
168 |
C |
p.
|
artikel
|
| 14 |
Fourier transform sparse inverse regression estimators for sufficient variable selection
|
Weng, Jiaying
|
|
|
168 |
C |
p.
|
artikel
|
| 15 |
Fusing sufficient dimension reduction with neural networks
|
Kapla, Daniel
|
|
|
168 |
C |
p.
|
artikel
|
| 16 |
Improving performances of MCMC for Nearest Neighbor Gaussian Process models with full data augmentation
|
Coube-Sisqueille, Sébastien
|
|
|
168 |
C |
p.
|
artikel
|
| 17 |
Maximum likelihood estimation of diffusions by continuous time Markov chain
|
Kirkby, J.L.
|
|
|
168 |
C |
p.
|
artikel
|
| 18 |
Non-parametric analysis of serial dependence in time series using ordinal patterns
|
Weiß, Christian H.
|
|
|
168 |
C |
p.
|
artikel
|
| 19 |
On a family of two–piece circular distributions
|
Ameijeiras-Alonso, Jose
|
|
|
168 |
C |
p.
|
artikel
|
| 20 |
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space
|
Wang, Yue
|
|
|
168 |
C |
p.
|
artikel
|
| 21 |
Statistical file-matching of non-Gaussian data: A game theoretic approach
|
Ahfock, Daniel
|
|
|
168 |
C |
p.
|
artikel
|
| 22 |
Statistical test for anomalous diffusion based on empirical anomaly measure for Gaussian processes
|
Szarek, Dawid
|
|
|
168 |
C |
p.
|
artikel
|
| 23 |
Surrogate space based dimension reduction for nonignorable nonresponse
|
Deng, Jianqiu
|
|
|
168 |
C |
p.
|
artikel
|
| 24 |
TA algorithms for D-optimal OofA Mixture designs
|
Rios, Nicholas
|
|
|
168 |
C |
p.
|
artikel
|
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