Publications

J. E. Chacón, C. Tenreiro (2024). A nonstandard application of cross-validation to estimate density functionals.

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J. E. Chacón, J. Fernández Serrano (2024). Bayesian taut splines for estimating the number of modes. Computational Statistics and Data Analysis, 196, 107961.

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J. E. Chacón, J. Fernández Serrano (2023). Bump hunting through density curvature features. Test, 32, 1251–1275.

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J. E. Chacón, A. I. Rastrojo (2023). Minimum adjusted Rand index for two clusterings of a given size. Advances in Data Analysis and Classification, 17, 125–133.

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R. Cao, J. E. Chacón (2022). Introduction to the special issue on Data Science for COVID-19. Journal of Nonparametric Statistics, 34, 555–569.

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A. Baíllo, J. E. Chacón (2022). A new selection criterion for statistical home range estimation. Journal of Applied Statistics, 49, 722–737.

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J. E. Chacón (2021). Explicit agreement extremes for a 2x2 table with given marginals. Journal of Classification, 38, 257–263.

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J. E. Chacón (2021). A close-up comparison of the misclassification error distance and the adjusted Rand index for external clustering evaluation. British Journal of Mathematical and Statistical Psychology, 74, 203–231.

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A. Baíllo, J. E. Chacón (2021). Statistical outline of animal home ranges: An application of set estimation. In Data Science: Theory and Applications (A.S.R. Srinivasa Rao and C.R. Rao, eds.). Handbook of Statistics, 44, 3–37.

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J. E. Chacón, T. Duong (2020). Higher order differential analysis with vectorized derivatives. Preprint.

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J. E. Chacón (2020). The modal age of Statistics. International Statistical Review, 88, 122–141.

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A. Casa, J. E. Chacón, G. Menardi (2020). Modal clustering asymptotics with applications to bandwidth selection. Electronic Journal of Statistics, 14, 835–856.

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J. E. Chacón (2019). Mixture model modal clustering. Advances in Data Analysis and Classification, 13, 379–404.

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J. E. Chacón, T. Duong (2018). Multivariate Kernel Smoothing and Its Applications. Chapman & Hall.

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J. E. Chacón, T. Duong (2015). Efficient recursive algorithms for functionals based on higher order derivatives of the multivariate Gaussian density. Statistics and Computing, 25, 959–974.

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J. E. Chacón (2015). A population background for nonparametric density-based clustering. Statistical Science, 30, 518–532.

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J. E. Chacón, P. Monfort (2014). A comparison of bandwidth selectors for mean shift clustering. In Theoretical and Applied Issues in Statistics and Demography (C. H. Skiadas, ed.), 47–59.

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J. E. Chacón, P. Monfort, C. Tenreiro (2014). Fourier methods for smooth distribution function estimation. Statistics & Probability Letters, 84, 223–230.

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J. E. Chacón, T. Duong (2013). Data-driven density derivative estimation, with applications to nonparametric clustering and bump hunting. Electronic Journal of Statistics, 7, 499–532.

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J. E. Chacón, C. Tenreiro (2013). Data-Based Choice of the Number of Pilot Stages for Plug-in Bandwidth Selection. Communications in Statistics-Theory and Methods, 42, 2200–2214.

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J. E. Chacón, C. Tenreiro (2012). Exact and Asymptotically Optimal Bandwidths for Kernel Estimation of Density Functionals. Methodology and Computing in Applied Probability, 14, 523–548.

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J. E. Chacón, T. Duong (2011). Unconstrained Pilot Selectors for Smoothed Cross-validation. Australian & New Zealand Journal of Statistics, 53, 331–351.

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J. E. Chacón, G. Mateu-Figueras, J. A. Martín-Fernández (2011). Gaussian kernels for density estimation with compositional data. Computers & Geosciences, 37, 702–711.

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J. E. Chacón, T. Duong, M. P. Wand (2011). Asymptotics for general multivariate kernel density derivative estimators. Statistica Sinica, 21, 807–840.

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J. E. Chacón, T. Duong (2010). Multivariate plug-in bandwidth selection with unconstrained pilot bandwidth matrices. Test, 19, 375–398.

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J. E. Chacón, A. Rodríguez-Casal (2010). A note on the universal consistency of the kernel distribution function estimator. Statistics & Probability Letters, 80, 1414–1419.

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J. E. Chacón, J. Montanero, A. G. Nogales, P. Pérez (2009). Partial sufficiency and density estimation. Journal of Nonparametric Statistics, 21, 969–975.

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J. E. Chacón (2009). Data-driven choice of the smoothing parametrization for kernel density estimators. Canadian Journal of Statistics, 37, 249–265.

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J. E. Chacón, J. Montanero, A. G. Nogales (2008). Bootstrap bandwidth selection using an h-dependent pilot bandwidth. Scandinavian Journal of Statistics, 35, 139–157.

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J. E. Chacón, J. Montanero, A. G. Nogales, P. Pérez (2007). Stability under products of sufficient, minimal sufficient and complete sigma-fields in the Bayesian case. Statistics & Probability Letters, 77, 710–716.

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J. E. Chacón, J. Montanero, A. G. Nogales, P. Pérez (2007). On the use of Bayes factor in frequentist testing of a precise hypothesis. Communications in Statistics-theory and Methods, 36, 2251–2261.

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J. E. Chacón, J. Montanero, A. G. Nogales, P. Pérez (2007). On the existence and limit behavior of the optimal bandwidth for kernel density estimation. Statistica Sinica, 17, 289–300.

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J. E. Chacón, J. Montanero, A. G. Nogales (2007). A note on kernel density estimation at a parametric rate. Journal of Nonparametric Statistics, 19, 13–21.

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J. E. Chacón, J. Montanero, A. G. Nogales, P. Pérez (2006). A note on minimal sufficiency. Statistica Sinica, 16, 7–14.

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J. E. Chacón, A. Rodríguez Casal (2005). On the L-1-consistency of wavelet density estimates. Canadian Journal of Statistics, 33, 489–496.

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