Variable Kernel Estimates of Multivariate Densities

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Dimensionality Reduction in Non- Parametric Conditional Density Estimation with Applications to Nonlinear Time Series A thesis submitted for the degree of Doctor of Philosophy

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Order statistics and nearest neighbors

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_1

Regression: the noiseless case

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_15

Basics of classification

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_17

Covariance approximation of nonlinear regression

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The nearest neighbor rule: variable k

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_19

Framework for local polynomial regression

B, J. F. A., & Gijbels, I. (2018) · Routledge eBooks · doi:10.1201/9780203748725-3

Rates of convergence

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_14

Advanced properties of uniform order statistics

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_13

The choice of a nearest neighbor estimate

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_16

L p -consistency and Stone’s theorem

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_10

The nearest neighbor rule: fixed k

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_18

The k-nearest neighbor density estimate

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_3

Density estimation communication systems

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Online Variable Kernel Estimator

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FROG: A Fast and Reliable Crowdsourcing Framework (Technical Report)Preprint

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Splines, Smoothers, and Kernels

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Probability density estimation using two new kernel functions

Rodchuen, M., & Suwattee, P. (2010)

Annotating Geographical Objects in OpenStreetMap with Geo-tagged Social Media

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Performance of Bandwidth Selection Rules for the Local Linear RegressionPreprint

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Semi-supervised Bayesian classification by vector features with continuous and discrete components

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Semi-parametric density estimation

Stride, C. (2026) · Warwick Research Archive Portal (University of Warwick) · doi:10.82444/warw.33767116

The Victims of Property Crime

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Nonparametric PU Learning of State Estimation in Markov Switching Model

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Machine Learning Techniques as Applied to Discrete and Combinatorial Structures

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Personalized Check-in Prediction Model Based on User’s Dissimilarity and Regression

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Efficient and flexible Bayesian synthetic likelihood via transformations

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Refined Mode-Clustering via the Gradient of Slope

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Nonparametric density estimation using kernels with variable size windows

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Nonparametric Models and Bayesian Networks. Applications to Anomaly Detection

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Tuning selection for two-scale kernel density estimators

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Full Rotation Hyper-ellipsoid Multivariate Adaptive Bandwidth Kernel Density Estimator

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Nearest‐Neighbor Density Estimation

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The 1-nearest neighbor regression function estimate

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_9

Entropy estimation

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_7

Uniform consistency

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_12

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Local behavior

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_6

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Uniform consistency

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_4

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Appendix

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_20

Pointwise consistency

Gérard Biau, A., & Devroye, L. (2015) · Springer series in the data sciences · doi:10.1007/978-3-319-25388-6_11

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Tessellation-based Kernel Density Estimation

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Nearest‐Neighbor Density Estimation

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A NOTE ON THE USEFULNESS OF SUIPERKERNELS IN DENSITY ESTIMATION' BY Luc DEVROYE

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