NICDA Research Group
NICDA Research Group
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José Enrique Chacón
Full Professor
University of Extremadura
Latest
Bayesian taut splines for estimating the number of modes
Estimation of density functionals via cross-validation
Mode-based estimation of the center of symmetry
Bump hunting through density curvature features
Minimum adjusted Rand index for two clusterings of a given size
A new selection criterion for statistical home range estimation
Introduction to the special issue on Data Science for COVID-19
A close-up comparison of the misclassification error distance and the adjusted Rand index for external clustering evaluation
Explicit agreement extremes for a 2 x 2 table with given marginals
Statistical outline of animal home ranges: An application of set estimation
Higher order differential analysis with vectorized derivatives
Modal clustering asymptotics with applications to bandwidth selection
The modal age of Statistics
Mixture model modal clustering
Multivariate Kernel Smoothing and its Applications
A population background for nonparametric density-based clustering
Efficient recursive algorithms for functionals based on higher order derivatives of the multivariate Gaussian density
A comparison of bandwidth selectors for mean shift clustering
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
Exact and asymptotically optimal bandwidths for kernel estimation of density functionals
Asymptotics for general multivariate kernel density derivative estimators
Gaussian kernels for density estimation with compositional data
Unconstrained pilot selectors for smoothed cross-validation
A note on the universal consistency of the kernel distribution function estimator
Multivariate plug-in bandwidth selection with unconstrained pilot bandwidth matrices
Data-driven choice of the smoothing parametrization for kernel density estimators
Is it possible to test if a power of the density is integrable?
Partial sufficiency and density estimation
Bootstrap bandwidth selection using an $h$-dependent pilot bandwidth
A note on kernel density estimation at a parametric rate
On the existence and limit behavior of the optimal bandwidth for kernel density estimation
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 minimal sufficiency
On the $L_1$-consistency of wavelet density estimates
Two statistical experiments for bootstrapping
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