| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Neural Network Integrated Accelerated Failure Time-Based Mixture Cure Model
|
Aselisewine, Wisdom
|
|
|
35 |
5 |
|
artikel
|
| 2 |
Annealing Strategies for Variance Reduction in Balance Heuristic Estimators
|
Medina-Aguayo, Felipe J.
|
|
|
35 |
5 |
|
artikel
|
| 3 |
A nonparametric test of independence between the second-order structure of point patterns and covariates
|
González, Jonatan A.
|
|
|
35 |
5 |
|
artikel
|
| 4 |
Bayesian model selection for analyzing predictor-dependent directional data
|
Guevara, Ingrid
|
|
|
35 |
5 |
|
artikel
|
| 5 |
Bayesian shared parameter joint models for heterogeneous populations
|
Chen, Sida
|
|
|
35 |
5 |
|
artikel
|
| 6 |
Causal Segment Regression with Multiple Thresholds
|
Wang, Jingli
|
|
|
35 |
5 |
|
artikel
|
| 7 |
Communication-efficient transfer learning for adaptive Huber regression
|
Yang, Jichen
|
|
|
35 |
5 |
|
artikel
|
| 8 |
Confidence intervals and one-sample-based hypothesis testing for Cronbach’s α coefficient for interval-valued data
|
García-García, José
|
|
|
35 |
5 |
|
artikel
|
| 9 |
Data-adaptive structural change-point detection via isolation
|
Anastasiou, Andreas
|
|
|
35 |
5 |
|
artikel
|
| 10 |
DeepJAM: Joint alignment of multivariate quasi-periodic functional data using deep learning
|
Pham, Vi Thanh
|
|
|
35 |
5 |
|
artikel
|
| 11 |
Detecting Structural Shifts and Estimating Single Change-Points in Interval-Based Time Series
|
Sun, Li-Hsien
|
|
|
35 |
5 |
|
artikel
|
| 12 |
DGP-LVM: Derivative Gaussian process latent variable models
|
Mukherjee, Soham
|
|
|
35 |
5 |
|
artikel
|
| 13 |
Double debiased estimation and inference for longitudinal generalized linear models with hidden confounders
|
Fei, Yuxin
|
|
|
35 |
5 |
|
artikel
|
| 14 |
Estimating Expectile-Optimal Treatment Regimes
|
Fan, Caiyun
|
|
|
35 |
5 |
|
artikel
|
| 15 |
Estimation of the Additive Hazards Model Based on Interval-censored Failure Time Data with Random Change Point
|
Du, Mingyue
|
|
|
35 |
5 |
|
artikel
|
| 16 |
Expert-elicitation method for non-parametric joint priors using normalizing flows
|
Bockting, Florence
|
|
|
35 |
5 |
|
artikel
|
| 17 |
Fast Bayesian inference in a class of sparse linear mixed effects models
|
Spyropoulou, Maria-Zafeiria
|
|
|
35 |
5 |
|
artikel
|
| 18 |
Feature splitting parallel algorithm for Dantzig selectors
|
Wu, Xiaofei
|
|
|
35 |
5 |
|
artikel
|
| 19 |
From sparse to dense functional data: phase transitions from a simultaneous inference perspective
|
Cai, Leheng
|
|
|
35 |
5 |
|
artikel
|
| 20 |
Identifying Collapsible Sets in Directed Graphical Models via Inducing Paths
|
Deng, Yuxin
|
|
|
35 |
5 |
|
artikel
|
| 21 |
Information preservation with wasserstein autoencoders: generation consistency and adversarial robustness
|
Chakrabarty, Anish
|
|
|
35 |
5 |
|
artikel
|
| 22 |
Nonparametric empirical bayes prediction in mixed models
|
Banerjee, Trambak
|
|
|
35 |
5 |
|
artikel
|
| 23 |
Optimal response-free Poisson subsampling for generalized linear models in increasing dimension
|
Shan, Junhao
|
|
|
35 |
5 |
|
artikel
|
| 24 |
Parallel ADMM Algorithm with Gaussian Back Substitution for High-Dimensional Quantile Regression and Classification
|
Wu, Xiaofei
|
|
|
35 |
5 |
|
artikel
|
| 25 |
Penalty Learning for Optimal Partitioning using Multilayer Perceptron
|
Nguyen, Tung L
|
|
|
35 |
5 |
|
artikel
|
| 26 |
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo
|
Karamanis, Minas
|
|
|
35 |
5 |
|
artikel
|
| 27 |
Personalized federated learning on large-scale association networks
|
Li, Letian
|
|
|
35 |
5 |
|
artikel
|
| 28 |
Pseudo-R2D2 prior for high-dimensional ordinal regression
|
Yanchenko, Eric
|
|
|
35 |
5 |
|
artikel
|
| 29 |
Robust and Efficient Estimation for the Block-Basu Bivariate Exponential Distribution
|
Kumar, Sanjay
|
|
|
35 |
5 |
|
artikel
|
| 30 |
Robust feature screening via Grothendieck’s correlation with FDR control
|
Jiang, Yunlu
|
|
|
35 |
5 |
|
artikel
|
| 31 |
Sampling from Conditional Distributions of Simplified Vines
|
Hanebeck, Ariane
|
|
|
35 |
5 |
|
artikel
|
| 32 |
Sparse estimation and inference for prediction-powered semi-supervised linear regression
|
Song, Zihao
|
|
|
35 |
5 |
|
artikel
|
| 33 |
Spatial autoregressive model for interval-valued data and applications
|
Zhang, Jinjin
|
|
|
35 |
5 |
|
artikel
|
| 34 |
Spectral clustering on aggregated multilayer networks with covariates
|
Zhao, Da
|
|
|
35 |
5 |
|
artikel
|
| 35 |
S-SIRUS: an explainability algorithm for spatial regression Random Forest
|
Patelli, Luca
|
|
|
35 |
5 |
|
artikel
|
| 36 |
Subgroup Analysis of Differential Networks with Latent Variables
|
Li, Linxi
|
|
|
35 |
5 |
|
artikel
|
| 37 |
Subsampling for Big Data Linear Models with Measurement Errors
|
Ju, Jiangshan
|
|
|
35 |
5 |
|
artikel
|
| 38 |
The Deep Latent Position Block Model for Block Clustering and Latent Representation of Nodes in Networks
|
Boutin, Rémi
|
|
|
35 |
5 |
|
artikel
|
| 39 |
Tree-based variational inference for Poisson log-normal models
|
Chaussard, Alexandre
|
|
|
35 |
5 |
|
artikel
|
| 40 |
Unbalanced Longitudinal Data Clustering with a Copula Kernel Mixture Model
|
Zhang, Xi
|
|
|
35 |
5 |
|
artikel
|
| 41 |
Variational Bayesian inference for models with nuisance parameters and an intractable likelihood
|
Tseng, Y. H. Paco
|
|
|
35 |
5 |
|
artikel
|
| 42 |
Wasserstein k-Centers Clustering for Distributional Data
|
Okano, Ryo
|
|
|
35 |
5 |
|
artikel
|
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