Cover Image

Statistical visualisation for tidy and geospatial data in R via kernel smoothing methods in the eks package

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Duong, Tarn
Format:	Preprint
Published:	2022
Subjects:	Computation Applications 62G07, 62G10, 62H12
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable contour level selection for heat maps for gridded data
by: Duong, Tarn
Published: (2025)

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

Normal approximations for the multivariate inverse Gaussian distribution and asymmetric kernel smoothing on $d$-dimensional half-spaces
by: Belzile, Léo R., et al.
Published: (2022)

Local linear smoothing for regression surfaces on the simplex using Dirichlet kernels
by: Genest, Christian, et al.
Published: (2024)

On the importance of tail assumptions in climate extreme event attribution
by: Li, Mengran, et al.
Published: (2025)

Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths
by: Somé, Sobom M., et al.
Published: (2022)

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

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

A likelihood ratio test for circular multimodality
by: Bolón, Diego, et al.
Published: (2024)

Estimating probabilities of multivariate failure sets based on pairwise tail dependence coefficients
by: Kiriliouk, Anna, et al.
Published: (2022)

Bootstrap Pettitt test for detecting change point in hydroclimatological data: a case study for Itaipu hydroelectric plant in Brazil
by: Conte, Luiza Chiarelli, et al.
Published: (2024)

An effective estimation of multivariate density functions using extended-beta kernels with Bayesian adaptive bandwidths
by: Somé, Sobom M., et al.
Published: (2025)

On the Dirichlet-kernel Gasser--Müller estimator and its competitors for fixed design regression on the simplex
by: Daayeb, Hanen, et al.
Published: (2025)

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

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

Statistical inference for extremal directions in high-dimensional spaces
by: Butsch, Lucas, et al.
Published: (2026)

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

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

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)

Correcting for partial verification bias in diagnostic accuracy studies: A tutorial using R
by: Arifin, Wan Nor, et al.
Published: (2025)

Euclidean mirrors and dynamics in network time series
by: Athreya, Avanti, et al.
Published: (2022)

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

Efficient Inference on High-Dimensional Linear Models with Missing Outcomes
by: Zhang, Yikun, et al.
Published: (2023)

River flow modelling using nonparametric functional data analysis
by: Quintela-del-Río, Alejandro, et al.
Published: (2024)

Bayesian Additive Regression Trees (BART) in Food Authenticity: A Classification Approach to Food Fraud Detection
by: Zhu, Mengxiang, et al.
Published: (2025)

Club Exco: clustering brain extreme communities from multi-channel EEG data
by: Guerrero, Matheus B., et al.
Published: (2022)

Testing Independence of Infinite Dimensional Random Elements: A Sup-norm Approach
by: Bhar, Suprio, et al.
Published: (2023)

A novel framework for detecting multiple change points in functional data sequences
by: Fang, Zhiqing, et al.
Published: (2025)

Regularised Canonical Correlation Analysis: graphical lasso, biplots and beyond
by: Wells, Lennie, et al.
Published: (2024)

Asymptotic properties of the multivariate Szász-Mirakyan estimator for cumulative distribution functions on the nonnegative orthant
by: Lyu, Guanjie, et al.
Published: (2026)

Evaluation of the number of clusters in a data set using $p$-values from Multiple Tests of Hypotheses
by: Modak, Soumita
Published: (2026)

On the spherical cardioid distribution and its goodness-of-fit
by: García-Portugués, Eduardo
Published: (2026)

A High Dimensional Wild Bootstrap Max-Test for Detecting the Presence of Significant Predictors
by: Hill, Jonathan B.
Published: (2026)

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

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

Mixture of segmentation for heterogeneous functional data
by: Brault, Vincent, et al.
Published: (2023)

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

Minimax properties of gamma kernel density estimators under $L^p$ loss and $β$-Hölder smoothness of the target
by: Ouimet, Frédéric
Published: (2026)

Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data
by: Hyun, Sangwon, et al.
Published: (2025)

Statistical exploration of the Manifold Hypothesis
by: Whiteley, Nick, et al.
Published: (2022)