Results 81 to 90 of about 229,123 (176)

Nonparametric estimation of conditional incremental effects

Journal of Causal Inference
Conditional effect estimation has great scientific and policy importance because interventions may impact subjects differently depending on their characteristics.
McClean Alec, Branson Zach, Kennedy Edward H.   +2 more
doaj   +1 more source

NONPARAMETRIC ESTIMATION AND TESTING FOR PANEL COUNT DATA WITH INFORMATIVE TERMINAL EVENT. [PDF]

Stat Sin, 2023
Hu X, Liu L, Zhang Y, Zhao X.
europepmc   +1 more source

Quantile-Based Nonparametric Inference for First-Price Auctions [PDF]

We propose a quantile-based nonparametric approach to inference on the probability density function (PDF) of the private values in first-price sealed-bid auctions with independent private values.
Marmer, Vadim, Shneyerov, Artyom
core   +1 more source

On using nonparametric approaches for precipitation estimation

ITM Web of Conferences, 2018
Nonparametric density estimation methods have been used for precipitation estimation for decades. The new approach for estimating the density proposed recently by Geenens and Wang appears to offer advantages over them as far as their behavior in the tail
Grządziel Mariusz
doaj   +1 more source

Nonparametric Inference in Mixture Cure Models

Proceedings, 2018
A completely nonparametric method for the estimation of mixture cure models is proposed. Nonparametric estimators for the cure probability (incidence) and for the survival function of the uncured population (latency) are introduced.
Ana López-Cheda, Ricardo Cao, Mª Amalia Jácome, Ingrid Van Keilegom   +3 more
doaj   +1 more source

Nonparametric estimation of marked survival data in the presence of dependent censoring. [PDF]

Stat Med, 2023
Sanusi B, Cai J, Hudgens MG.
europepmc   +1 more source

Nonparametric methods for volatility density estimation

, 2009
Stochastic volatility modelling of financial processes has become increasingly popular. The proposed models usually contain a stationary volatility process.
Spreij, Peter, van Es, Bert, van Zanten, Harry   +2 more
core  

Singular wavelets on a finite interval

Informatika, 2018
Nonparametric methods are used in complex cases where model information is insufficient. A new method of nonparametric approximation, the singular wavelet method, is developed.
V. M. Romanchak
doaj  

Nonparametric Efficiency Estimation in Stochastic Environments (II) [PDF]

We consider the issues of noise-to-signal estimation, finite sample performance andhypothesis testing for the nonparametric efficiency estimation technique proposed inCherchye, L., T. Kuosmanen and G. T. Post (2001) 'Nonparametric efficiencyestimation in
Cherchye, L., Post, G.T.
core   +1 more source

Bootstrap estimation for nonparametric efficiency estimates [PDF]

, 1995
This paper develops a consistent bootstrap estimation procedure to obtain confidence intervals for nonparametric measures of productive efficiency. Although the methodology is illustrated in terms of technical efficiency measured by output distance functions, the technique can be easily extended to other consistent nonparametric frontier models ...
WILSON, Paul, SIMAR, Leopold
openaire   +1 more source