Results 91 to 100 of about 118,514 (262)

Experiment-selector cross-validated targeted maximum likelihood estimator for hybrid RCT-external data studies

Journal of Causal Inference
Augmenting a randomized controlled trial (RCT) with external data may increase power at the risk of introducing bias. To select and analyze the experiment (RCT alone or combined with external data) with the optimal bias-variance tradeoff, we develop a ...
Dang Lauren Eyler, Tarp Jens Magelund, Abrahamsen Trine Julie, Kvist Kajsa, Buse John B., Petersen Maya, van der Laan Mark   +6 more
doaj   +1 more source

Limit theorems for local polynomial estimation of regression for functional dependent data

AIMS Mathematics
Local polynomial fitting exhibits numerous compelling statistical properties, particularly within the intricate realm of multivariate analysis. However, as functional data analysis gains prominence as a dynamic and pertinent field in data science, the ...
Oussama Bouanani, Salim Bouzebda
doaj   +1 more source

Preliminary Test Estimators and Confidence Intervals for the Parametric Functions of the Moore and Bilikam Family of Lifetime Distributions Based on Records

Austrian Journal of Statistics, 2019
We consider two measures of reliability functions namely R(t)=P(X>t) and P=P(X>Y) for the Moore and Bilikam (1978) family of lifetime distributions which covers fourteen distributions as specific cases.
Ajit Chaturvedi, Suk-Bok Kang, Ananya Malhotra   +2 more
doaj   +1 more source

Exploration of the (non-)asymptotic bias and variance of stochastic gradient Langevin dynamics

, 2016
Comparing strings and assessing their similarity is a basic operation in many application domains of machine learning, such as in information retrieval, natural language processing and bioinformatics. The practitioner can choose from a large variety of available similarity measures for this task, each emphasizing different aspects of the string data ...
Vollmer, Sebastian J., Zygalakis, Konstantinos C., Teh, Yee Whye   +2 more
openaire   +2 more sources

Optimal Bandwidth Choice for Interval Estimation in GMM Regression [PDF]

In time series regression with nonparametrically autocorrelated errors, it is now standard empirical practice to construct confidence intervals for regression coefficients on the basis of nonparametrically studentized t-statistics.
Peter C.B. Phillips, Yixiao Sun
core  

Histopathologic Analysis of the Morpho‐Functional Zones of the Human Acetabular Labrum

Clinical Anatomy, EarlyView.
ABSTRACT The structural and functional adaptation of soft tissues to mechanical load controls their ability to withstand injury and influences their capacity for healing. Similar to the knee meniscus, the acetabular labrum exhibits zonal differences in mechanical load distribution, resulting in distinct regions with unique structural and functional ...
Abdulaziz A. Alomiery, Andrew C. Hall, Thomas H. Gillingwater, Afaf Alsolami, Abduelmenem Alashkham   +4 more
wiley   +1 more source

Panel Regression with Random Noise [PDF]

The paper explores the effect of measurement errors on the estimation of a linear panel data model. The conventional fixed effects estimator, which ignores measurement errors, is biased.
Gerd Ronning, Hans Schneeweiss
core  

The Impact of Self‐Checkout Technology on Shopping Behavior in B2B Retail: Evidence From Point‐Of‐Sale Transaction Data

Journal of Consumer Behaviour, EarlyView.
ABSTRACT This study examines the impact of self‐checkout technology implementation on B2B customer shopping behavior using a novel methodological approach that combines propensity score matching with difference‐in‐differences analysis on actual point‐of‐sale transaction data.
Jindřich Špička, Michaela Dvořáková   +1 more
wiley   +1 more source

Optimal model‐based design of experiments for parameter precision: Supercritical extraction case

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley   +1 more source

Rank‐based estimation of propensity score weights via subclassification

Canadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang, Yuexia Zhang, Thomas S. Richardson, Xiaohua Zhou   +3 more
wiley   +1 more source