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Blessing of dimensionality in cross-validated bandwidth selection on the sphere
We study the asymptotic behavior of least-squares cross-validation bandwidth selection in kernel density estimation on the …
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On Stein's test of uniformity on the hypersphere
We propose a new test of uniformity on the hypersphere based on a Stein characterization associated with the Laplace–Beltrami operator. …
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On the spherical cardioid distribution and its goodness-of-fit
In this paper, we study the spherical cardioid distribution, a higher-dimensional and higher-order generalization of the circular …
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On the turbulent wake of the actuated fluidic pinball: dynamics, bifurcations and control authority
This work presents the first comprehensive experimental and numerical study of the turbulent wake of the actuated fluidic pinball …
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Density estimation for compositional data using nonparametric mixtures
Compositional data, representing proportions constrained to the simplex, arise in diverse fields such as geosciences, ecology, …
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High-dimensional Sobolev tests on hyperspheres
We derive the limit null distribution of the class of Sobolev tests of uniformity on the hypersphere when the dimension and the sample …
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Latent-space non-linear model predictive control for partially-observable systems
This work presents a scalable control framework based on nonlinear Model Predictive Control for high-dimensional dynamical systems. The …
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Out-of-bag prediction balls for random forests in metric spaces
Statistical methods for metric spaces provide a general and versatile framework for analyzing complex data types. We introduce a novel …
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Prediction intervals for quantile autoregression
This paper introduces new methods for constructing prediction intervals using quantile-based techniques. The procedures are developed …
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A new flexible class of kernel-based tests of independence
Spherical and hyperspherical data are commonly encountered in diverse applied research domains, underscoring the vital task of …
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