Results 31 to 40 of about 248 (144)

Asymptotic properties of wavelet estimators for derivative function in heteroscedastic regression model

Demonstratio Mathematica
This paper considers a wavelet approach to derivative function estimation in heteroscedastic regression model. A linear wavelet estimator is constructed by using projection operator.
Guo Huijun, Kou Junke, Zhang Hao
doaj   +1 more source

Goodness-of-fit Tests in Nonparametric Regression [PDF]

, 2004
AMS classifications: 62G08, 62G10, 62G20, 62G30 ...
Einmahl, J.H.J., van Keilegom, I.
core   +1 more source

Estimation for spatial semi-functional partial linear regression model with missing response at random

Demonstratio Mathematica
The aim of this article is to study a semi-functional partial linear regression model (SFPLR) for spatial data with responses missing at random (MAR).
Benchikh Tawfik, Almanjahie Ibrahim M., Fetitah Omar, Attouch Mohammed Kadi   +3 more
doaj   +1 more source

Tree-based conditional copula estimation

Dependence Modeling
This article proposes a regression tree procedure to estimate conditional copulas. The associated algorithm determines classes of observations based on covariate values and fits a simple parametric copula model on each class.
Bonacina Francesco, Lopez Olivier, Thomas Maud   +2 more
doaj   +1 more source

Design-based RCT estimators and central limit theorems for baseline subgroup and related analyses

Journal of Causal Inference
There is a growing literature on design-based (DB) methods to estimate average treatment effects (ATEs) for randomized controlled trials (RCTs) for full sample analyses.
Schochet Peter Z.
doaj   +1 more source

Automatic spectral density estimation for random fields on a lattice via bootstrap [PDF]

, 2007
Spatial data, Spectral density, Smoothing number, Uniform asymptotic distribution, Bootstrap, 62M30, 62M15, 62G20,
Jose Vidal-Sanz, Vidal-Sanz, José M.
core   +1 more source

Highly adaptive Lasso for estimation of heterogeneous treatment effects and treatment recommendation

Journal of Causal Inference
The estimation of conditional average treatment effects (CATEs) is an important problem in many applications. Many machine learning-based frameworks for such estimation have been proposed, including meta-learning, causal trees, and causal forests ...
Nizam Sohail, Codi Allison, Rogawski McQuade Elizabeth, Benkeser David   +3 more
doaj   +1 more source

Bias-reduced estimators of the Weibull tail-coefficient [PDF]

, 2008
Weibull tail-coefficient, Bias-reduction, Least-squares approach, Asymptotic normality, 62G05, 62G20, 62G30,
Gardes, Laurent, Stéphane Girard, Jean Diebolt, Diebolt, Jean, Laurent Gardes, Guillou, Armelle, Girard, Stéphane, Armelle Guillou   +7 more
core   +1 more source

Targeted maximum likelihood based estimation for longitudinal mediation analysis

Journal of Causal Inference
Causal mediation analysis with random interventions has become an area of significant interest for understanding time-varying effects with longitudinal and survival outcomes.
Wang Zeyi, Laan Lars van der, Petersen Maya, Gerds Thomas, Kvist Kajsa, Laan Mark van der   +5 more
doaj   +1 more source

Change Point Analysis based on Empirical Characteristic Functions

62G20, 62E20, 60F17, Empirical characteristic function, Change point analysis,
Marie Hušková, Simos Meintanis
core   +1 more source