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• Statistics Reading Club – Session 8
• A note on the geodesic normal distribution on the sphere
• 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 $\sigma$-fields in the Bayesian case
• A note on minimal sufficiency
• On the $L_1$-consistency of wavelet density estimates
• Two statistical experiments for bootstrapping