:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bamio, David, de Uña-Álvarez, Jacobo
Format:	Preprint
Published:	2026
Subjects:	Methodology 62G07
Online Access:	https://arxiv.org/abs/2601.09576
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantile-respectful density estimation based on the Harrell-Davis quantile estimator
by: Akinshin, Andrey
Published: (2024)

Deconvolution density estimation with penalised MLE
by: Cai, Yun, et al.
Published: (2021)

Kernel density estimation with polyspherical data and its applications
by: García-Portugués, Eduardo, et al.
Published: (2024)

Bayesian taut splines for estimating the number of modes
by: Chacón, José E., et al.
Published: (2023)

Density estimation for compositional data using nonparametric mixtures
by: Xie, Jiajin, et al.
Published: (2025)

Tweedie-based nonparametric estimation for semicontinuous mixed densities
by: Lyu, Guanjie, et al.
Published: (2026)

Dirichlet kernel density estimation on the simplex with missing data
by: Daayeb, Hanen, et al.
Published: (2026)

Rejoinder to the discussion of "Mode-based estimation of the center of symmetry"
by: Chacón, José E., et al.
Published: (2025)

Optimal empirical Bayes estimation for the Poisson model via minimum-distance methods
by: Jana, Soham, et al.
Published: (2022)

ICS for complex data with application to outlier detection for density data
by: Mondon, Camille, et al.
Published: (2025)

A two-sample test for symmetric positive definite matrix distributions using Wishart kernel density estimators
by: Ouimet, Frédéric
Published: (2026)

A monotonic MM-type algorithm for estimation of nonparametric finite mixture models with dependent marginals
by: Levine, Michael
Published: (2025)

Mode-based estimation of the center of symmetry
by: Chacón, José E., et al.
Published: (2024)

A new adaptive local polynomial density estimation procedure on complicated domains
by: Bertin, Karine, et al.
Published: (2023)

Comparative analysis of two new wind speed T-X models using Weibull and log-logistic distributions for wind energy potential estimation in Tabriz, Iran
by: Mohammadpour, Meysam, et al.
Published: (2024)

An Object-Oriented Spatial Statistics Approach for Human Activity Space Estimation
by: Wu, Haoyang, et al.
Published: (2026)

Dirichlet kernel density estimation for strongly mixing sequences on the simplex
by: Daayeb, Hanen, et al.
Published: (2025)

Sparse estimation in ordinary kriging for functional data
by: Matsui, Hidetoshi, et al.
Published: (2023)

Factor Augmented Quantile Regression Model
by: Wei, Xiaoyang, et al.
Published: (2025)

gcor: A Python Implementation of Categorical Gini Correlation and Its Inference
by: Hewage, Sameera
Published: (2025)

Maximum smoothed likelihood method for the combination of multiple diagnostic tests, with application to the ROC estimation
by: Zheng, Fangyong, et al.
Published: (2026)

Bagging cross-validated bandwidths with application to Big Data
by: Barreiro-Ures, Daniel, et al.
Published: (2024)

Kernel Density Estimation and Convolution Revisited
by: Tenkorang, Nicholas, et al.
Published: (2025)

Blessing of dimensionality in cross-validated bandwidth selection on the sphere
by: Chacón, José E., et al.
Published: (2026)

Variable screening using factor analysis for high-dimensional data with multicollinearity
by: Tanaka, Shuntaro, et al.
Published: (2023)

Information criteria for the number of directions of extremes in high-dimensional data
by: Butsch, Lucas, et al.
Published: (2024)

Wishart kernel density estimation for strongly mixing time series on the cone of positive definite matrices
by: Belzile, Léo R., et al.
Published: (2025)

Selection and Collider Restriction Bias Due to Predictor Availability in Prognostic Models
by: Delord, Marc
Published: (2026)

From Conditional to Unconditional Independence: Testing Conditional Independence via Transport Maps
by: He, Chenxuan, et al.
Published: (2025)

Quick and Simple Kernel Differential Equation Regression Estimators for Data with Sparse Design
by: Ge, Chunlei, et al.
Published: (2024)

Estimation and Uniform Inference in Sparse High-Dimensional Additive Models
by: Bach, Philipp, et al.
Published: (2020)

Estimation of the invariant measure of a multidimensional diffusion from noisy observations
by: Maillet, Raphaël, et al.
Published: (2024)

A hybrid-Hill estimator enabled by heavy-tailed block maxima
by: Neves, Claudia, et al.
Published: (2025)

Variance-Reduced Manifold Sampling via Polynomial-Maximization Density Estimation
by: Zabolotnii, Serhii
Published: (2026)

A Gaussian process and linear-based framework for computing cut distributions in modular Bayesian calibration of two chained computer models
by: Baldé, Oumar, et al.
Published: (2023)

Statistical Inference for Quasi-Infinitely Divisible Distributions via Fourier Methods
by: Panov, Vladimir, et al.
Published: (2025)

Unbiased Regression-Adjusted Estimation of Average Treatment Effects in Randomized Controlled Trials
by: Abadie, Alberto, et al.
Published: (2025)

Minimum Covariance Determinant Estimator and Outlier Detection for Interval-valued Data
by: Loureiro, Catarina P., et al.
Published: (2026)

Bump hunting through density curvature features
by: Chacón, José E., et al.
Published: (2022)

Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift
by: Wang, Kaizheng
Published: (2023)