Density Regression with Conditional Support Points

Cites Work

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Energy statistics: a class of statistics based on distances
Low complexity methods for discretizing manifolds via Riesz energy minimization
Faster least squares approximation
The use of polynomial splines and their tensor products in multivariate function estimation. (With discussion)
Polynomial splines and their tensor products in extended linear modeling. (With discussions)
The design and analysis of computer experiments.
A study of logspline density estimation
Support points
Information-based optimal subdata selection for big data logistic regression
Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares
Computational Advertising: Techniques for Targeting Relevant Ads
Nonparametric Bayes Conditional Distribution Modeling With Variable Selection
Comparing Density Forecasts Using Threshold- and Quantile-Weighted Scoring Rules
Randomized Algorithms for Matrices and Data
Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems
Scoring Rules for Continuous Probability Distributions
The Concave-Convex Procedure
Nonparametric Estimation and Symmetry Tests for Conditional Density Functions
Using Conditional Kernel Density Estimation for Wind Power Density Forecasting
Optimal Subsampling for Large Sample Logistic Regression
Statistical properties of sketching algorithms
Information-Based Optimal Subdata Selection for Big Data Linear Regression
Strictly Proper Scoring Rules, Prediction, and Estimation
Of Quantiles and Expectiles: Consistent Scoring Functions, Choquet Representations and Forecast Rankings
Bayesian Density Regression
Smoothing Spline ANOVA Models
SPlit: An Optimal Method for Data Splitting

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