Copertina

A note on distance variance for categorical variables

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Zhang, Qingyang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Methodology Statistics Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Tests for categorical data beyond Pearson: A distance covariance and energy distance approach
di: Castro-Prado, Fernando, et al.
Pubblicazione: (2024)

Fast and reliable confidence intervals for a variance component
di: Zhang, Yiqiao, et al.
Pubblicazione: (2024)

Asymptotics of predictive distributions driven by sample means and variances
di: Garelli, Samuele, et al.
Pubblicazione: (2024)

Inference in generalized linear models with robustness to misspecified variances
di: De Santis, Riccardo, et al.
Pubblicazione: (2022)

Basis expansion approaches for functional analysis of variance with repeated measures
di: Acal, Christian, et al.
Pubblicazione: (2024)

Do we need to estimate the variance in robust mean estimation?
di: Sun, Qiang
Pubblicazione: (2021)

Semiparametric mean and variance joint models with Laplace link functions for count time series
di: Liu, Tianqing, et al.
Pubblicazione: (2024)

Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models
di: Armillotta, Mirko, et al.
Pubblicazione: (2023)

Facilitating heterogeneous effect estimation via statistically efficient categorical modifiers
di: Kowal, Daniel R.
Pubblicazione: (2024)

Sharp variance estimator and causal bootstrap in stratified randomized experiments
di: Yu, Haoyang, et al.
Pubblicazione: (2024)

A note on blinded continuous monitoring for continuous outcomes
di: Xu, Long-Hao, et al.
Pubblicazione: (2025)

Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation
di: Kumar, Shivam, et al.
Pubblicazione: (2025)

A note on numerical evaluation of conditional Akaike information for nonlinear mixed-effects models
di: Zheng, Nan, et al.
Pubblicazione: (2024)

Instrumental variables: A non-asymptotic viewpoint
di: Xia, Eric, et al.
Pubblicazione: (2024)

Anytime-valid t-tests and confidence sequences for Gaussian means with unknown variance
di: Wang, Hongjian, et al.
Pubblicazione: (2023)

A note on the properties of the confidence set for the local average treatment effect obtained by inverting the score test
di: Smucler, Ezequiel, et al.
Pubblicazione: (2025)

Covariate balancing for causal inference on categorical and continuous treatments
di: Lee, Seong-ho, et al.
Pubblicazione: (2021)

On the properties of distance covariance for categorical data: Robustness, sure screening, and approximate null distributions
di: Zhang, Qingyang
Pubblicazione: (2024)

A note on the relation between one-step, outcome regression and IPW-type estimators of parameters with the mixed bias property
di: Rotnitzky, Andrea, et al.
Pubblicazione: (2025)

The numeraire e-variable and reverse information projection
di: Larsson, Martin, et al.
Pubblicazione: (2024)

Testing distributional equality for functional random variables
di: Banerjee, Bilol
Pubblicazione: (2023)

Optimal sub-Gaussian variance proxy for truncated Gaussian and exponential random variables
di: Barreto, Mathias, et al.
Pubblicazione: (2024)

Robust variable selection for partially linear additive models
di: Boente, Graciela, et al.
Pubblicazione: (2024)

Data denoising with self consistency, variance maximization, and the Kantorovich dominance
di: Hiew, Joshua Zoen-Git, et al.
Pubblicazione: (2025)

Bootstrap inference for linear regression between variables that are never jointly observed: application in in vivo experiments
di: Arsenteva, Polina, et al.
Pubblicazione: (2024)

Inference on summaries of a model-agnostic longitudinal variable importance trajectory with application to suicide prevention
di: Williamson, Brian D., et al.
Pubblicazione: (2023)

Rao-Blackwellized e-variables
di: de Roos, Dante, et al.
Pubblicazione: (2025)

Low-rank matrix estimation via nonconvex spectral regularized methods in errors-in-variables matrix regression
di: Li, Xin, et al.
Pubblicazione: (2024)

A note on incorrect inferences in non-binary qualitative probabilistic networks
di: Carter, Jack Storror
Pubblicazione: (2022)

High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
di: Bigot, Jérémie, et al.
Pubblicazione: (2024)

Comparing two spatial variables with the probability of agreement
di: Acosta, Jonathan, et al.
Pubblicazione: (2022)

High-dimensional ridge regression with random features for non-identically distributed data with a variance profile
di: Dabo, Issa-Mbenard, et al.
Pubblicazione: (2025)

Fiducial inference for partially identified parameters with applications to instrumental variable models
di: Cui, Yifan, et al.
Pubblicazione: (2025)

A general framework for inference on algorithm-agnostic variable importance
di: Williamson, Brian D., et al.
Pubblicazione: (2020)

A New Class of Asymptotically Distribution-Free Smooth Tests
di: Zhang, Xiangyu, et al.
Pubblicazione: (2025)

A General Framework for Multiple Testing via E-value Aggregation and Data-Dependent Weighting
di: Li, Guanxun, et al.
Pubblicazione: (2023)

A Random-effects Approach to Regression Involving Many Categorical Predictors and Their Interactions
di: Sun, Hanmei, et al.
Pubblicazione: (2024)

A Simple and Effective Random Forest Modelling for Nonlinear Time Series Data
di: Zhang, Shihao, et al.
Pubblicazione: (2025)

Nonparametric Estimation of Mediation Effects with A General Treatment
di: Huang, Lukang, et al.
Pubblicazione: (2022)

Modelling physical activity profiles in COPD patients: a fully functional approach to variable domain functional regression models
di: Hernandez-Amaro, Pavel, et al.
Pubblicazione: (2024)