Results 21 to 30 of about 112 (96)

On kernel-based estimation of conditional Kendall’s tau: finite-distance bounds and asymptotic behavior

Dependence Modeling, 2019
We study nonparametric estimators of conditional Kendall’s tau, a measure of concordance between two random variables given some covariates. We prove non-asymptotic pointwise and uniform bounds, that hold with high probabilities.
Derumigny Alexis, Fermanian Jean-David
doaj   +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

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

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

A statistical Framework for a new two-parameter unit Bilal distribution with application to model Asymmetric Data

Heliyon
In the realm of statistical mechanics, unit models are commonly employed to elucidate tangible numerical values that fall within the range of 0–1, encompassing entities like proportions, percentages, and probabilities.
Tabassum Naz Sindhu, Anum Shafiq, Muhammad Bilal Riaz, Tahani A. Abushal   +3 more
doaj   +1 more source

On the exponential inequality for acceptable random variables

Journal of Inequalities and Applications, 2011
In this paper, we obtain some new exponential inequalities for partial sums and their finite maximum of acceptable random variables by the results of Sung et al. (J. Korean Stat. Soc., 40, 109-114, 2011) and in different ways from theirs.
Gao Qingwu, Wang Yuebao, Li Yawei
doaj  

Testing Linear Operator Constraints in Functional Response Regression with Incomplete Response Functions. [PDF]

Electron J Stat, 2023
Park Y, Han K, Simpson DG.
europepmc   +1 more source

Kernel Estimation of Cumulative Residual Tsallis Entropy and Its Dynamic Version under ρ-Mixing Dependent Data. [PDF]

Entropy (Basel), 2021
Irshad MR, Maya R, Buono F, Longobardi M.   +3 more
europepmc   +1 more source