Nonparametric Density Estimation for Positive Time Series [PDF]
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions have been put forward to solve this boundary problem. In this paper we propose
Jeroen V.K. Rombouts, Taoufik Bouezmarni
core
Causal effect on the number of life years lost due to a specific event: average treatment effect and variable importance. [PDF]
Ziersen SC, Martinussen T.
europepmc +1 more source
Calibration improves estimation of linkage disequilibrium on low sample sizes. [PDF]
Bercovich U, Wiuf C, Albrechtsen A.
europepmc +1 more source
Computing assumption-lean bounds for per-protocol effects. [PDF]
Zivich PN +5 more
europepmc +1 more source
Distributed Nonparametric Regression with Heterogeneity Through Prediction-Based Aggregation. [PDF]
Chen Z, Li R, Xu Y.
europepmc +1 more source
Doubly Robust Estimators of the Restricted Mean Time in Favor Estimands in Individual- and Cluster-Randomized Trials. [PDF]
Fang X +5 more
europepmc +1 more source
Competing risk model with a nonparametric form of relative risks. [PDF]
Cho Y, Du P.
europepmc +1 more source
Evaluating Preclinical-to-Human Bioavailability Classification Using Smooth ROC Curve Estimation. [PDF]
Erdoğan MS.
europepmc +1 more source
Inference for Deep Neural Network Estimators in Generalized Nonparametric Models. [PDF]
Meng X, Li Y.
europepmc +1 more source

