PUBLICACIÓN

Introduction to the special issue on Data Science for COVID-19

ACCEDER A LA PUBLICACIÓN: Scopus

Cao R., Chacon J.E.

2022 JOURNAL OF NONPARAMETRIC STATISTICS

Statistics and Probability (Q2), Statistics, Probability and Uncertainty (Q2)

JCR: 1.2

SJR: 0.64

CITAS

0

DOI

10.1080/10485252.2022.2108288

EID

2-s2.0-85139198238

ISSN

1048-5252

EISSN

1029-0311

AUTORES DE LA UEX

José Enrique Chacón Durán

OTRAS PUBLICACIONES DE INTERÉS

On The L1-Consistency Of Wavelet Density Estimates
Bayesian Taut Splines For Estimating The Number Of Modes
Estimation Of Density Functionals Via Cross-Validation
Bayesian Taut Splines For Estimating The Number Of Modes
Estimation Of Density Functionals Via Cross-Validation
Bump Hunting Through Density Curvature Features
Estimation Of Density Functionals Via Cross-Validation
Bump Hunting Through Density Curvature Features
Minimum Adjusted Rand Index For Two Clusterings Of A Given Size
Bump Hunting Through Density Curvature Features
Minimum Adjusted Rand Index For Two Clusterings Of A Given Size
Introduction To The Special Issue On Data Science For Covid-19
Minimum Adjusted Rand Index For Two Clusterings Of A Given Size
Introduction To The Special Issue On Data Science For Covid-19
A New Selection Criterion For Statistical Home Range Estimation
Introduction To The Special Issue On Data Science For Covid-19
A New Selection Criterion For Statistical Home Range Estimation
Explicit Agreement Extremes For A 2 × 2 Table With Given Marginals
A New Selection Criterion For Statistical Home Range Estimation
Explicit Agreement Extremes For A 2 × 2 Table With Given Marginals
A Close-Up Comparison Of The Misclassification Error Distance And The Adjusted Rand Index For External Clustering Evaluation
Explicit Agreement Extremes For A 2 × 2 Table With Given Marginals
A Close-Up Comparison Of The Misclassification Error Distance And The Adjusted Rand Index For External Clustering Evaluation
Statistical Outline Of Animal Home Ranges: An Application Of Set Estimation
A Close-Up Comparison Of The Misclassification Error Distance And The Adjusted Rand Index For External Clustering Evaluation
Statistical Outline Of Animal Home Ranges: An Application Of Set Estimation
The Modal Age Of Statistics
Statistical Outline Of Animal Home Ranges: An Application Of Set Estimation
The Modal Age Of Statistics
Modal Clustering Asymptotics With Applications To Bandwidth Selection
The Modal Age Of Statistics
Modal Clustering Asymptotics With Applications To Bandwidth Selection
Higher Order Differential Analysis With Vectorized Derivatives
Modal Clustering Asymptotics With Applications To Bandwidth Selection
Higher Order Differential Analysis With Vectorized Derivatives
Minimum Adjusted Rand Index For Two Clusterings Of A Given Size
Higher Order Differential Analysis With Vectorized Derivatives
Minimum Adjusted Rand Index For Two Clusterings Of A Given Size
Mixture Model Modal Clustering
Minimum Adjusted Rand Index For Two Clusterings Of A Given Size
Mixture Model Modal Clustering
A Survey And A New Selection Criterion For Statistical Home Range Estimation
Mixture Model Modal Clustering
A Survey And A New Selection Criterion For Statistical Home Range Estimation
Efficient Recursive Algorithms For Functionals Based On Higher Order Derivatives Of The Multivariate Gaussian Density
A Survey And A New Selection Criterion For Statistical Home Range Estimation
Efficient Recursive Algorithms For Functionals Based On Higher Order Derivatives Of The Multivariate Gaussian Density
A Population Background For Nonparametric Density-Based Clustering
Efficient Recursive Algorithms For Functionals Based On Higher Order Derivatives Of The Multivariate Gaussian Density
A Population Background For Nonparametric Density-Based Clustering
Fourier Methods For Smooth Distribution Function Estimation
A Population Background For Nonparametric Density-Based Clustering
Fourier Methods For Smooth Distribution Function Estimation
Data-Based Choice Of The Number Of Pilot Stages For Plug-In Bandwidth Selection
Fourier Methods For Smooth Distribution Function Estimation
Data-Based Choice Of The Number Of Pilot Stages For Plug-In Bandwidth Selection
Data-Driven Density Derivative Estimation, With Applications To Nonparametric Clustering And Bump Hunting
Data-Based Choice Of The Number Of Pilot Stages For Plug-In Bandwidth Selection
Data-Driven Density Derivative Estimation, With Applications To Nonparametric Clustering And Bump Hunting
Exact And Asymptotically Optimal Bandwidths For Kernel Estimation Of Density Functionals
Data-Driven Density Derivative Estimation, With Applications To Nonparametric Clustering And Bump Hunting
Exact And Asymptotically Optimal Bandwidths For Kernel Estimation Of Density Functionals
Unconstrained Pilot Selectors For Smoothed Cross-Validation
Exact And Asymptotically Optimal Bandwidths For Kernel Estimation Of Density Functionals
Unconstrained Pilot Selectors For Smoothed Cross-Validation
Gaussian Kernels For Density Estimation With Compositional Data
Unconstrained Pilot Selectors For Smoothed Cross-Validation
Gaussian Kernels For Density Estimation With Compositional Data
Asymptotics For General Multivariate Kernel Density Derivative Estimators
Gaussian Kernels For Density Estimation With Compositional Data
Asymptotics For General Multivariate Kernel Density Derivative Estimators
A Note On The Universal Consistency Of The Kernel Distribution Function Estimator
Asymptotics For General Multivariate Kernel Density Derivative Estimators
A Note On The Universal Consistency Of The Kernel Distribution Function Estimator
Multivariate Plug-In Bandwidth Selection With Unconstrained Pilot Bandwidth Matrices
A Note On The Universal Consistency Of The Kernel Distribution Function Estimator
Multivariate Plug-In Bandwidth Selection With Unconstrained Pilot Bandwidth Matrices
Partial Sufficiency And Density Estimation
Multivariate Plug-In Bandwidth Selection With Unconstrained Pilot Bandwidth Matrices
Partial Sufficiency And Density Estimation
Data-Driven Choice Of The Smoothing Parametrization For Kernel Density Estimators
Partial Sufficiency And Density Estimation
Data-Driven Choice Of The Smoothing Parametrization For Kernel Density Estimators
Bootstrap Bandwidth Selection Using An H-Dependent Pilot Bandwidth
Data-Driven Choice Of The Smoothing Parametrization For Kernel Density Estimators
Bootstrap Bandwidth Selection Using An H-Dependent Pilot Bandwidth
Data-Driven Choice Of The Smoothing Parametrization For Multivariate Kernel Density Estimators
Bootstrap Bandwidth Selection Using An H-Dependent Pilot Bandwidth
Data-Driven Choice Of The Smoothing Parametrization For Multivariate Kernel Density Estimators
The Bayes Factor And The Problem Of Testing Precise Hypotheses From A Bayesian Point Of View
Data-Driven Choice Of The Smoothing Parametrization For Multivariate Kernel Density Estimators
The Bayes Factor And The Problem Of Testing Precise Hypotheses From A Bayesian Point Of View
On The Use Of Bayes Factor In Frequentist Testing Of A Precise Hypothesis
The Bayes Factor And The Problem Of Testing Precise Hypotheses From A Bayesian Point Of View
On The Use Of Bayes Factor In Frequentist Testing Of A Precise Hypothesis
Stability Under Products Of Sufficient, Minimal Sufficient And Complete Σ-Fields In The Bayesian Case
On The Use Of Bayes Factor In Frequentist Testing Of A Precise Hypothesis
Stability Under Products Of Sufficient, Minimal Sufficient And Complete Σ-Fields In The Bayesian Case
A Note On Kernel Density Estimation At A Parametric Rate
Stability Under Products Of Sufficient, Minimal Sufficient And Complete Σ-Fields In The Bayesian Case
A Note On Kernel Density Estimation At A Parametric Rate
On The Existence And Limit Behavior Of The Optimal Bandwidth For Kernel Density Estimation
A Note On Kernel Density Estimation At A Parametric Rate
On The Existence And Limit Behavior Of The Optimal Bandwidth For Kernel Density Estimation
A Note On Minimal Sufficiency
On The Existence And Limit Behavior Of The Optimal Bandwidth For Kernel Density Estimation
A Note On Minimal Sufficiency
On The L1-Consistency Of Wavelet Density Estimates
A Note On Minimal Sufficiency
On The L1-Consistency Of Wavelet Density Estimates
Bayesian Taut Splines For Estimating The Number Of Modes
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