Cover Image

Selective inference for multiple pairs of clusters after K-means clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yun, Youngjoo, He, Yinqiu
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Selective inference after convex clustering with $\ell_1$ penalization
by: Bachoc, François, et al.
Published: (2023)

Analytic inference with two-way clustering
by: Davezies, Laurent, et al.
Published: (2025)

$K$-means clustering for sparsely observed longitudinal data
by: Yamamoto, Michio, et al.
Published: (2024)

Causal mediation in cluster-randomized trials with multiple mediators: spillover-aware decomposition, identification, and semiparametric efficient inference
by: Tong, Jiaqi, et al.
Published: (2026)

Bayesian inference for Neyman-Scott point processes with anisotropic clusters
by: Dvořák, Jiří, et al.
Published: (2025)

An integrated method for clustering and association network inference
by: Tous, Jeanne, et al.
Published: (2025)

Conformal causal inference for cluster randomized trials: model-robust inference without asymptotic approximations
by: Wang, Bingkai, et al.
Published: (2024)

Statistical inference with win statistics in cluster-randomized trials with composite outcomes
by: Fang, Xi, et al.
Published: (2026)

Bayesian clustering of multiple zero-inflated outcomes
by: Franzolini, Beatrice, et al.
Published: (2022)

Joint mixed-effects models for causal inference in clustered network-based observational studies
by: McNealis, Vanessa, et al.
Published: (2024)

Model-assisted inference for dynamic causal effects in staggered rollout cluster randomized experiments
by: Chen, Xinyuan, et al.
Published: (2025)

Sparse $K$-spatial-median clustering for high-dimensional data
by: Zhao, Ping, et al.
Published: (2026)

Bayesian inference for cluster-randomized trials with multivariate outcomes subject to both truncation by death and missingness
by: Tong, Guangyu, et al.
Published: (2025)

Efficient Analysis of Latent Spaces in Heterogeneous Networks
by: Tian, Yuang, et al.
Published: (2024)

Joint Adaptive Penalty for Unbalanced Mediation Pathways
by: Jiang, Hanying, et al.
Published: (2025)

Beyond the mean: Sequence analysis methods for clustering ordinal EMA data
by: Wang, Tianyi, et al.
Published: (2026)

Regularized k-POD: Sparse k-means clustering for high-dimensional missing data
by: Guan, Xin, et al.
Published: (2025)

Sequential stratified inference for the mean
by: Spertus, Jacob V., et al.
Published: (2024)

Bayesian local clustering of age-period mortality surfaces across multiple countries
by: Romanò, Giovanni, et al.
Published: (2025)

Doubly robust estimators of the restricted mean time in favor estimands in individual- and cluster-randomized trials
by: Fang, Xi, et al.
Published: (2026)

A Bayesian nonparametric approach to mediation and spillover effects with multiple mediators in cluster-randomized trials
by: Ohnishi, Yuki, et al.
Published: (2024)

Time-varying treatment effect models in stepped-wedge cluster-randomized trials with multiple interventions
by: Chen, Zhe, et al.
Published: (2025)

Estimating within-cluster and between-cluster spillover effects in randomized saturation designs
by: Lu, Sizhu, et al.
Published: (2026)

Rank-based estimators of global treatment effects for cluster randomized trials with multiple endpoints
by: Smith, E. Davies, et al.
Published: (2024)

Missing data and cluster graphs: cluster-level missingness vs variable-level missingness
by: Scott, Willow, et al.
Published: (2026)

Optimal estimation of generalized causal effects in cluster-randomized trials with multiple outcomes
by: Chen, Xinyuan, et al.
Published: (2026)

Feature screening for clustering analysis
by: Wang, Changhu, et al.
Published: (2023)

Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference
by: Eichhorn, Matthew, et al.
Published: (2024)

Spherical Double K-Means: a co-clustering approach for text data analysis
by: Bombelli, Ilaria, et al.
Published: (2025)

Inverse regression for causal inference with multiple outcomes
by: Zhang, Wei, et al.
Published: (2025)

Finite-sample adjustments for comparing clustered adaptive interventions using data from a clustered SMART
by: Pan, Wenchu, et al.
Published: (2024)

Spatial quantile clustering of climate data
by: Gaetan, Carlo, et al.
Published: (2024)

Robust fuzzy clustering with cellwise outliers
by: Zaccaria, Giorgia, et al.
Published: (2025)

Demystifying estimands in cluster-randomised trials
by: Kahan, Brennan C, et al.
Published: (2023)

Tandem clustering with invariant coordinate selection
by: Alfons, Andreas, et al.
Published: (2022)

Simplicial clustering using the $α$--transformation
by: Tsagris, Michail, et al.
Published: (2025)

Getting it right: Methods for risk ratios and risk differences cluster randomized trials with a small number of clusters
by: Sun, Shifeng, et al.
Published: (2025)

A robust, scalable K-statistic for quantifying immune cell clustering in spatial proteomics data
by: Wrobel, Julia, et al.
Published: (2024)

Causal clustering: design of cluster experiments under network interference
by: Viviano, Davide, et al.
Published: (2023)

Optimal inference for the mean of random functions
by: Kassi, Omar, et al.
Published: (2025)