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Electronic Journal of Statistics
Title
Publication Date
Language
Citations
A functional nonlinear mixed effects modeling framework for longitudinal functional responses
2024/01/01
Quantile regression by dyadic CART
2024/01/01
Intrinsic and extrinsic deep learning on manifolds
2024/01/01
Multiclass classification for multidimensional functional data through deep neural networks
2024/01/01
Merging sequential e-values via martingales
2024/01/01
A unified analysis of regression adjustment in randomized experiments
2024/01/01
Geometric ergodicity of Gibbs samplers for Bayesian error-in-variable regression
2024/01/01
Online multiple testing with super-uniformity reward
2024/01/01
Gaussian random fields on the product of spheres: Theory and applications
2024/01/01
Differentially private confidence intervals for proportions under stratified random sampling
2024/01/01
Multi-label residual weighted learning for individualized combination treatment rule
2024/01/01
Revisiting consistency of a recursive estimator of mixing distributions
2023/01/01
On forward sufficient dimension reduction for categorical and ordinal responses
2023/01/01
Corrigendum to “Maximum likelihood estimation in logistic regression models with a diverging number of covariates”
2023/01/01
Estimating the proportion of signal variables under arbitrary covariance dependence
2023/01/01
Estimation of high-dimensional change-points under a group sparsity structure
2023/01/01
Posterior contraction and testing for multivariate isotonic regression
2023/01/01
Generating knockoffs via conditional independence
2024/01/01
Regression analysis of partially linear transformed mean residual life models
2024/01/01
Adaptive randomization in network data
2024/01/01
Subnetwork estimation for spatial autoregressive models in large-scale networks
2023/01/01
Tests for high-dimensional single-index models
2023/01/01
Design and analysis of bipartite experiments under a linear exposure-response model
2023/01/01
Optimal function-on-scalar regression over complex domains
2023/01/01
Deep learning for inverse problems with unknown operator
2023/01/01
Efficient Bayesian estimation and use of cut posterior in semiparametric hidden Markov models
2024/01/01
Transportation-based functional ANOVA and PCA for covariance operators
2024/01/01
Nonparametric estimation of the incubation time distribution
2024/01/01
Exponential family trend filtering on lattices
2024/01/01
Direct covariance matrix estimation with compositional data
2024/01/01
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