Nonparametric estimation of linear personalized diagnostics rules via efficient grid algorithm
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DOI: 10.1002/sim.10016
Abstract: Many diseases are heterogeneous, comprised of multiple disease subgroups. It is of great interest but highly unlikely to find a single biomarker that can accurately detect such heterogeneous diseases across different subgroups. In this article,… read more here.
Keywords: proposed method; nonparametric estimation; algorithm; efficient grid ... See more keywords
Nonparametric Estimation for Propensity Scores With Misclassified Treatments
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DOI: 10.1002/sim.10306
Abstract: In the framework of causal inference, average treatment effect (ATE) is one of crucial concerns. To estimate it, the propensity score based estimation method and its variants have been widely adopted. However, most existing methods… read more here.
Keywords: binary treatments; propensity; nonparametric estimation; measurement error ... See more keywords
Nonparametric estimation of marked survival data in the presence of dependent censoring
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DOI: 10.1002/sim.9710
Abstract: We consider nonparametrically estimating the joint distribution of a survival time and mark variable, where the survival time is subject to right censoring and the mark variable is only observed when the survival time is… read more here.
Keywords: estimation marked; survival data; marked survival; dependent censoring ... See more keywords
Nonparametric estimation for i.i.d. Gaussian continuous time moving average models
Sign Up to like & getrecommendations! Published in 2020 at "Statistical Inference for Stochastic Processes"
DOI: 10.1007/s11203-020-09228-y
Abstract: We consider a Gaussian continuous time moving average model $$X(t)=\int _0^t a(t-s)dW(s)$$ X ( t ) = ∫ 0 t a ( t - s ) d W ( s ) where W is a… read more here.
Keywords: moving average; time; nonparametric estimation; time moving ... See more keywords
Direct instrumental nonparametric estimation of inverse regression functions
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DOI: 10.1016/j.jeconom.2017.07.001
Abstract: This paper treats the estimation of the inverse g−1 of a monotonic function g satisfying E[Y−g(X)|W]=0 where (X,W) is continuously distributed. Using instrumental restrictions, many parameters of interest in econometrics can be expressed as inverses… read more here.
Keywords: estimation inverse; inverse regression; direct instrumental; nonparametric estimation ... See more keywords
Nonparametric estimation of marginal effects in regression-spline random effects models
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DOI: 10.1080/07474938.2020.1772569
Abstract: Abstract We consider a B-spline regression approach toward nonparametric modeling of a random effects (error component) model. We focus our attention on the estimation of marginal effects (derivatives) and their asymptotic properties. Theoretical underpinnings are… read more here.
Keywords: regression; marginal effects; random effects; nonparametric estimation ... See more keywords
Efficient Nonparametric Estimation of 3D Point Cloud Signals through Distributed Learning
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2024.2406301
Abstract: Abstract Advancements in technology have elevated the prominence of 3D point cloud data, making its analysis increasingly vital across various applications. This need drives the demand for advanced statistical analytic approaches to handle challenges such… read more here.
Keywords: point; nonparametric estimation; point cloud; estimation ... See more keywords
Improvement of the Nonparametric Estimation of Functional Stationary Time Series Using Yeo-Johnson Transformation with Application to Temperature Curves
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DOI: 10.1155/2021/6676400
Abstract: In this article, Box-Cox and Yeo-Johnson transformation models are applied to two time series datasets of monthly temperature averages to improve the forecast ability. An application algorithm was proposed to transform the positive original responses… read more here.
Keywords: nonparametric estimation; time series; yeo johnson; time ... See more keywords
Near-Linear Time Local Polynomial Nonparametric Estimation with Box Kernels
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DOI: 10.1287/ijoc.2020.1021
Abstract: Summary of Contribution: Big data analytics has become essential for modern operations research and operations management applications. Statistics methods, such as nonparametric density and functio... read more here.
Keywords: local polynomial; polynomial nonparametric; linear time; near linear ... See more keywords
Nonparametric estimation of trend for stochastic differential equations driven by sub-fractional Brownian motion
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DOI: 10.1515/rose-2020-2032
Abstract: Abstract We discuss nonparametric estimation of a trend coefficient in models governed by a stochastic differential equation driven by a sub-fractional Brownian motion with small noise. read more here.
Keywords: estimation trend; driven sub; fractional brownian; stochastic differential ... See more keywords
Pointwise Nonparametric Estimation of Odds Ratio Curves with R: Introducing the flexOR Package
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DOI: 10.3390/app14093897
Abstract: The analysis of odds ratio curves is a valuable tool in understanding the relationship between continuous predictors and binary outcomes. Traditional parametric regression approaches often assume specific functional forms, limiting their flexibility and applicability to… read more here.
Keywords: ratio curves; pointwise nonparametric; estimation odds; nonparametric estimation ... See more keywords