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                             53 results found
no title author magazine year volume issue page(s) type
1 A Bayesian Model for Co-clustering Ordinal Data with Informative Missing Entries Giampino, Alice
35 5 article
2 A Neural Network Integrated Accelerated Failure Time-Based Mixture Cure Model Aselisewine, Wisdom
35 5 article
3 Annealing Strategies for Variance Reduction in Balance Heuristic Estimators Medina-Aguayo, Felipe J.
35 5 article
4 A nonparametric test of independence between the second-order structure of point patterns and covariates González, Jonatan A.
35 5 article
5 Bayesian model selection for analyzing predictor-dependent directional data Guevara, Ingrid
35 5 article
6 Bayesian shared parameter joint models for heterogeneous populations Chen, Sida
35 5 article
7 Bias-enhanced support detection and root finding approach Ming, Hao
35 5 article
8 Causal Segment Regression with Multiple Thresholds Wang, Jingli
35 5 article
9 Communication-efficient transfer learning for adaptive Huber regression Yang, Jichen
35 5 article
10 Confidence intervals and one-sample-based hypothesis testing for Cronbach’s α coefficient for interval-valued data García-García, José
35 5 article
11 Data-adaptive structural change-point detection via isolation Anastasiou, Andreas
35 5 article
12 Data-driven uncertainty quantification for constrained stochastic differential equations and application to solar photovoltaic power forecast data Ben Chaabane, Khaoula
35 5 article
13 DeepJAM: Joint alignment of multivariate quasi-periodic functional data using deep learning Pham, Vi Thanh
35 5 article
14 Detecting Structural Shifts and Estimating Single Change-Points in Interval-Based Time Series Sun, Li-Hsien
35 5 article
15 DGP-LVM: Derivative Gaussian process latent variable models Mukherjee, Soham
35 5 article
16 Disclosure risk assessment with Bayesian non-parametric hierarchical modelling Battiston, Marco
35 5 article
17 Distributed empirical likelihood inference with or without Byzantine failures Wang, Qihua
35 5 article
18 Distributed Estimation and Algorithm for Distributed Outcome Dependent Subsampling in Generalized Linear Regression with Large-scale Data Yin, Jie
35 5 article
19 Double debiased estimation and inference for longitudinal generalized linear models with hidden confounders Fei, Yuxin
35 5 article
20 Estimating Expectile-Optimal Treatment Regimes Fan, Caiyun
35 5 article
21 Estimation of ratios of normalizing constants using stochastic approximation: the SARIS algorithm Guédon, Tom
35 5 article
22 Estimation of the Additive Hazards Model Based on Interval-censored Failure Time Data with Random Change Point Du, Mingyue
35 5 article
23 Expert-elicitation method for non-parametric joint priors using normalizing flows Bockting, Florence
35 5 article
24 Fast Bayesian inference in a class of sparse linear mixed effects models Spyropoulou, Maria-Zafeiria
35 5 article
25 Feature splitting parallel algorithm for Dantzig selectors Wu, Xiaofei
35 5 article
26 From sparse to dense functional data: phase transitions from a simultaneous inference perspective Cai, Leheng
35 5 article
27 Identifying Collapsible Sets in Directed Graphical Models via Inducing Paths Deng, Yuxin
35 5 article
28 Individualized treatment rules based on adaptive transfer-dragonnet Huang, Zhonghe
35 5 article
29 Information preservation with wasserstein autoencoders: generation consistency and adversarial robustness Chakrabarty, Anish
35 5 article
30 Network-assisted Semi-supervised Logistic Regression Zheng, Shengbin
35 5 article
31 Nonparametric empirical bayes prediction in mixed models Banerjee, Trambak
35 5 article
32 Optimal F-score Matching for Bipartite Record Linkage Bai, Eric A.
35 5 article
33 Optimal response-free Poisson subsampling for generalized linear models in increasing dimension Shan, Junhao
35 5 article
34 Parallel ADMM Algorithm with Gaussian Back Substitution for High-Dimensional Quantile Regression and Classification Wu, Xiaofei
35 5 article
35 Penalty Learning for Optimal Partitioning using Multilayer Perceptron Nguyen, Tung L
35 5 article
36 Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo Karamanis, Minas
35 5 article
37 Personalized federated learning on large-scale association networks Li, Letian
35 5 article
38 Pseudo-R2D2 prior for high-dimensional ordinal regression Yanchenko, Eric
35 5 article
39 Robust and Efficient Estimation for the Block-Basu Bivariate Exponential Distribution Kumar, Sanjay
35 5 article
40 Robust feature screening via Grothendieck’s correlation with FDR control Jiang, Yunlu
35 5 article
41 RSFclust: Robust sparse clustering of functional data using quantile curves Lee, Chihoon
35 5 article
42 Sampling from Conditional Distributions of Simplified Vines Hanebeck, Ariane
35 5 article
43 Sparse estimation and inference for prediction-powered semi-supervised linear regression Song, Zihao
35 5 article
44 Spatial autoregressive model for interval-valued data and applications Zhang, Jinjin
35 5 article
45 Spectral clustering on aggregated multilayer networks with covariates Zhao, Da
35 5 article
46 S-SIRUS: an explainability algorithm for spatial regression Random Forest Patelli, Luca
35 5 article
47 Subgroup Analysis of Differential Networks with Latent Variables Li, Linxi
35 5 article
48 Subsampling for Big Data Linear Models with Measurement Errors Ju, Jiangshan
35 5 article
49 The Deep Latent Position Block Model for Block Clustering and Latent Representation of Nodes in Networks Boutin, Rémi
35 5 article
50 Tree-based variational inference for Poisson log-normal models Chaussard, Alexandre
35 5 article
51 Unbalanced Longitudinal Data Clustering with a Copula Kernel Mixture Model Zhang, Xi
35 5 article
52 Variational Bayesian inference for models with nuisance parameters and an intractable likelihood Tseng, Y. H. Paco
35 5 article
53 Wasserstein k-Centers Clustering for Distributional Data Okano, Ryo
35 5 article
                             53 results found
 
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