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 |
Expert-elicitation method for non-parametric joint priors using normalizing flows
|
Bockting, Florence |
|
|
35 |
5 |
|
artikel |
16 |
Fast Bayesian inference in a class of sparse linear mixed effects models
|
Spyropoulou, Maria-Zafeiria |
|
|
35 |
5 |
|
artikel |
17 |
Feature splitting parallel algorithm for Dantzig selectors
|
Wu, Xiaofei |
|
|
35 |
5 |
|
artikel |
18 |
From sparse to dense functional data: phase transitions from a simultaneous inference perspective
|
Cai, Leheng |
|
|
35 |
5 |
|
artikel |
19 |
Identifying Collapsible Sets in Directed Graphical Models via Inducing Paths
|
Deng, Yuxin |
|
|
35 |
5 |
|
artikel |
20 |
Information preservation with wasserstein autoencoders: generation consistency and adversarial robustness
|
Chakrabarty, Anish |
|
|
35 |
5 |
|
artikel |
21 |
Nonparametric empirical bayes prediction in mixed models
|
Banerjee, Trambak |
|
|
35 |
5 |
|
artikel |
22 |
Optimal response-free Poisson subsampling for generalized linear models in increasing dimension
|
Shan, Junhao |
|
|
35 |
5 |
|
artikel |
23 |
Parallel ADMM Algorithm with Gaussian Back Substitution for High-Dimensional Quantile Regression and Classification
|
Wu, Xiaofei |
|
|
35 |
5 |
|
artikel |
24 |
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo
|
Karamanis, Minas |
|
|
35 |
5 |
|
artikel |
25 |
Personalized federated learning on large-scale association networks
|
Li, Letian |
|
|
35 |
5 |
|
artikel |
26 |
Pseudo-R2D2 prior for high-dimensional ordinal regression
|
Yanchenko, Eric |
|
|
35 |
5 |
|
artikel |
27 |
Robust and Efficient Estimation for the Block-Basu Bivariate Exponential Distribution
|
Kumar, Sanjay |
|
|
35 |
5 |
|
artikel |
28 |
Robust feature screening via Grothendieck’s correlation with FDR control
|
Jiang, Yunlu |
|
|
35 |
5 |
|
artikel |
29 |
Sampling from Conditional Distributions of Simplified Vines
|
Hanebeck, Ariane |
|
|
35 |
5 |
|
artikel |
30 |
Sparse estimation and inference for prediction-powered semi-supervised linear regression
|
Song, Zihao |
|
|
35 |
5 |
|
artikel |
31 |
Spectral clustering on aggregated multilayer networks with covariates
|
Zhao, Da |
|
|
35 |
5 |
|
artikel |
32 |
S-SIRUS: an explainability algorithm for spatial regression Random Forest
|
Patelli, Luca |
|
|
35 |
5 |
|
artikel |
33 |
Subgroup Analysis of Differential Networks with Latent Variables
|
Li, Linxi |
|
|
35 |
5 |
|
artikel |
34 |
Subsampling for Big Data Linear Models with Measurement Errors
|
Ju, Jiangshan |
|
|
35 |
5 |
|
artikel |
35 |
The Deep Latent Position Block Model for Block Clustering and Latent Representation of Nodes in Networks
|
Boutin, Rémi |
|
|
35 |
5 |
|
artikel |
36 |
Tree-based variational inference for Poisson log-normal models
|
Chaussard, Alexandre |
|
|
35 |
5 |
|
artikel |
37 |
Unbalanced Longitudinal Data Clustering with a Copula Kernel Mixture Model
|
Zhang, Xi |
|
|
35 |
5 |
|
artikel |
38 |
Variational Bayesian inference for models with nuisance parameters and an intractable likelihood
|
Tseng, Y. H. Paco |
|
|
35 |
5 |
|
artikel |
39 |
Wasserstein k-Centers Clustering for Distributional Data
|
Okano, Ryo |
|
|
35 |
5 |
|
artikel |