| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
An improved bisection-type algorithm for control chart calibration
|
Zago, Daniele
|
|
|
35 |
4 |
|
artikel
|
| 2 |
An Online Updating Approach for Estimating and Testing Mediation Effects with Big Data Streams
|
Bai, Xueyan
|
|
|
35 |
4 |
|
artikel
|
| 3 |
A sparse PAC-Bayesian approach for high-dimensional quantile prediction
|
Mai, The Tien
|
|
|
35 |
4 |
|
artikel
|
| 4 |
Bayesian quantile regression model with linear inequality constraints
|
Yu, Jialei
|
|
|
35 |
4 |
|
artikel
|
| 5 |
Distributed empirical likelihood inference with privacy guarantees
|
Liu, Qianqian
|
|
|
35 |
4 |
|
artikel
|
| 6 |
Estimating the number of true null hypotheses based on change point of observed p values
|
Jin, Lishuai
|
|
|
35 |
4 |
|
artikel
|
| 7 |
Estimation of two-layer Gaussian mixture model for streaming longitudinal data in Bayesian framework
|
Zhao, Xin
|
|
|
35 |
4 |
|
artikel
|
| 8 |
Extended fiducial inference for individual treatment effects via deep neural networks
|
Kim, Sehwan
|
|
|
35 |
4 |
|
artikel
|
| 9 |
Gradient boosting for generalised additive mixed models
|
Knieper, Lars
|
|
|
35 |
4 |
|
artikel
|
| 10 |
Gradient-free Gibbs sampler for shallow-wide Bayesian neural networks
|
Han, Geonhee
|
|
|
35 |
4 |
|
artikel
|
| 11 |
Graph sub-sampling for divide-and-conquer algorithms in large networks
|
Yanchenko, Eric
|
|
|
35 |
4 |
|
artikel
|
| 12 |
High order expansion method for Kuiper’s Vn statistic in goodness-of-fit test
|
Zhang, Hong-Yan
|
|
|
35 |
4 |
|
artikel
|
| 13 |
Learning from data’s evolution in normal equations: the DECK-principle and equations’ adjustment
|
Yatracos, Yannis G.
|
|
|
35 |
4 |
|
artikel
|
| 14 |
Local Polynomial Lp-norm Regression
|
Tazik, Ladan
|
|
|
35 |
4 |
|
artikel
|
| 15 |
Mean-restricted Matrix-variate Normals with an application to clustering
|
Berrettini, Marco
|
|
|
35 |
4 |
|
artikel
|
| 16 |
Mixture cure semiparametric additive hazard models under partly interval censoring — a penalized likelihood approach
|
Li, Jinqing
|
|
|
35 |
4 |
|
artikel
|
| 17 |
Multivariate two-sample tests via random projection
|
Shi, Xiangyu
|
|
|
35 |
4 |
|
artikel
|
| 18 |
Nonlinear Functional Sufficient Dimension Reduction via Principal Fitted Components
|
Kim, Minjee
|
|
|
35 |
4 |
|
artikel
|
| 19 |
Nonlinear principal component analysis for two-dimensional functional data using neural networks
|
Chen, Xinran
|
|
|
35 |
4 |
|
artikel
|
| 20 |
Nudging state-space models for Bayesian filtering under misspecified dynamics
|
González, Fabián
|
|
|
35 |
4 |
|
artikel
|
| 21 |
Numerical Generalized Randomized HMC processes for restricted domains
|
Kleppe, Tore Selland
|
|
|
35 |
4 |
|
artikel
|
| 22 |
On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary correlated noise
|
dos S. Sousa, Alex Rodrigo
|
|
|
35 |
4 |
|
artikel
|
| 23 |
On sufficient dimension reduction methods based on a graphical model with non-concave penalty
|
Park, Yujin
|
|
|
35 |
4 |
|
artikel
|
| 24 |
Penalized quadratic inference functions estimation for fixed effects partially linear single index spatial error model
|
Li, Fen
|
|
|
35 |
4 |
|
artikel
|
| 25 |
Quantile least squares: a flexible approach for robust estimation and validation of location-scale families
|
Adjieteh, Mohammed
|
|
|
35 |
4 |
|
artikel
|
| 26 |
Sequential Bayesian Registration for Functional Data
|
Kim, Yoonji
|
|
|
35 |
4 |
|
artikel
|
| 27 |
Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm
|
Zgodic, Anja
|
|
|
35 |
4 |
|
artikel
|
| 28 |
The second–derivative lower–bound function (SeLF) algorithm and three acceleration techniques for maximization with strongly stable convergence
|
Tian, Guo-Liang
|
|
|
35 |
4 |
|
artikel
|
| 29 |
Two-armed Bandit Bootstrap for Model-free Equivalent Rank Test
|
Xu, Shuoxun
|
|
|
35 |
4 |
|
artikel
|
| 30 |
Two-level D- and A-optimal main-effects designs with run sizes one and two more than a multiple of four
|
Hameed, Mohammed Saif Ismail
|
|
|
35 |
4 |
|
artikel
|
| 31 |
Uncertainty Quantification for Linear Inverse Problems with Besov Prior: A Randomize-Then-Optimize Method
|
Horst, Andreas
|
|
|
35 |
4 |
|
artikel
|
| 32 |
Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
|
Pintado, Maria F.
|
|
|
35 |
4 |
|
artikel
|
| 33 |
Wiener-type integral approximation for sampling distributions of irregularly spaced spatial data
|
Zhang, Shibin
|
|
|
35 |
4 |
|
artikel
|
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