Curriculum Vitae
José Enrique
Chacón Durán, born in
1977 in Badajoz (Spain).
Degree in Mathematics (9.333/10), Universidad de Extremadura, 2000.
Degree in Statistics (8.985/10), Universidad de Extremadura,
2002.
Ph. D. in
Mathematics (Statistics), Universidad de Extremadura, 2004.
Assistant
professor at the Department of Statistics and OR of the Universidad de
Valladolid. October 2003 – September 2005.
Temporary
Lecturer at this department. October 2005 – May 2008.
Lecturer at
this department. June 2008 – December 2011.
Associate
Professor at this department. From December 2011.
Curriculum vitae in PDF format.
Research
interests
Nonparametrc curve estimation.
Sufficiency and invariance.
Bootstrap methods.
Workshop on Nonparametric Statistics 2013
Preprints
 J.E. Chacón
(2020). Explicit agreement extremes for a 2×2 table with given marginals. arXiv
 J.E. Chacón
(2019). A closeup comparison of the misclassification error distance
and the adjusted Rand index for external clustering evaluation. arXiv
 A. Baíllo and
J.E. Chacón (2019). A new selection criterion
for statistical home range estimation. arXiv
 J.E. Chacón and A.
RodríguezCasal (2007). Plugin
kernel choice for nonfixedshape kernel density estimators.
Published books
Published
papers
 A. Casa, J.E. Chacón
and G. Menardi (2020). Modal clustering asymptotics
with applications to bandwidth selection. Electronic Journal of
Statistics. arXiv
 J.E. Chacón
(2020). The modal age of Statistics. International Statistical Review. arXiv
 J.E. Chacón
(2019). Mixture model modal clustering. Advances in Data Analysis and
Classification. arXiv
R code
 J.E. Chacón (2015) A population
background for nonparametric densitybased clustering. Statistical
Science. arXiv
(substantial reelaboration of J.E. Chacón
(2012) Clusters and water flows:
a novel approach to modal clustering through Morse theory. arXiv)
 J.E. Chacón
and T. Duong (2015). Efficient recursive algorithms for functionals based on higher order derivatives of the
multivariate Gaussian density. Statistics and Computing. arXiv
R
code
 J.E. Chacón and P. Monfort
(2014) A comparison of bandwidth selectors for
mean shift clustering. Capítulo del libro “Theoretical and Applied Issues in Statistics
and Demography” (C.H. Skiadas, ed.). arXiv
 J.E.
Chacón, P. Monfort
and C. Tenreiro (2014) Fourier methods for
smooth distribution function estimation. Statistics and Probability
Letters. arXiv
 J.E. Chacón
and T. Duong (2013). Datadriven density derivative estimation, with
applications to nonparametric clustering and bump hunting. Electronic
Journal of Statistics arXiv, EJS
 J.E. Chacón
and C. Tenreiro (2013). Databased choice of
the number of
pilot stages for plugin bandwidth selection.
Communications in Statistics, Theory and Methods.
 J.E. Chacón
and J. Montanero (2012) Discussion of
“Statistical methods for healthcare regulation: rating, screening and
surveillance” by Spiegelhalter et al. Journal
of the Royal Statistical Society, Series A.
 J.E. Chacón
and C. Tenreiro (2012). On the equivalence of
exact and asymptotically optimal bandwidths for kernel estimation of
density functionals. Methodology and
Computing in Applied Probability.
 J.E. Chacón
and T. Duong (2011). Unconstrained
pilot selectors for smoothed cross validation. Australian and New
Zealand Journal of Statistics.
 J.E.
Chacón, T. Duong and M.P. Wand (2011). Asymptotics
for general multivariate kernel density derivative estimators. Statistica Sinica.
 J.E.
Chacón, J.A. Martin and G. Mateu
(2011). Gaussian
kernels for density estimation with compositional data. Computers
and Geosciences.
 J.E.
Chacón (2010). Discussion of the paper
“Maximum Likelihood estimator of a multidimensional logconcave density”
by M. Cule, R. Samworth
and M. Stewart. Journal of the Royal Statistical Society, Series B.
 J.E. Chacón and A.
RodríguezCasal (2010). A note on the
universal consistency of the kernel distribution function estimator. Statistics and
Probability Letters.
 J.E.
Chacón and T. Duong (2010). Multivariate
plugin bandwidth selection with unconstrained pilot bandwidth matrices.
Test.
 J.E. Chacón, J. Montanero,
A.G. Nogales and P. Pérez (2009). Partial
sufficiency and density estimation. Journal of Nonparametric
Statistics.
 J.E.
Chacón (2009). Datadriven
choice of the smoothing parametrization for kernel density estimators.
The Canadian Journal of Statistics.
 J.E.
Chacón, J. Montanero
and A.G. Nogales (2009). Is
it possible to test if a power of the density is integrable?
Far East Journal of Theoretical Statistics.
 J.E.
Chacón, J. Montanero
and A.G. Nogales (2008). Bootstrap
bandwidth selection using an hdependent pilot bandwidth.
Scandinavian Journal of Statistics.
 J.E. Chacón, J. Montanero,
A.G. Nogales and P. Pérez (2007). On
the use of Bayes factors in frequentist testing of a precise hypothesis.
Communications in Statistics, Theory and Methods.
 J.E. Chacón, J. Montanero,
A.G. Nogales and P. Pérez (2007). Stability
under products of sufficient, minimal sufficient and complete
sigmafields in the Bayesian case. Statistics and Probability
Letters.
 J.E.
Chacón, J. Montanero
and A.G. Nogales (2007). A
note on kernel density estimation at a parametric rate. Nonparametric
Statistics.
 J.E. Chacón, J. Montanero,
A.G. Nogales and P. Pérez (2007). On
the existence and limit behavior of the
optimal bandwidth for kernel density estimation. Statistica
Sinica.
 J.E. Chacón, J. Montanero,
A.G. Nogales and P. Pérez (2006). A
note on minimal sufficiency. Statistica
Sinica.
 J.E. Chacón and A. RodríguezCasal (2005). On
the L1 consistency of wavelet density estimates. Canadian Journal of
Statistics.
 J.E. Chacón, J. Montanero,
A.G. Nogales and P. Pérez (2004). Two statistical experiments
for bootstrapping. Far East Journal of Theoretical Statistics.
