What can we learn about the racial gap in the presence of sample selection
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2017.05.004
Abstract: We examine the distance and relations between the distributions of wages for two exogenously identified groups (black and white women here). The literature commonly employs decomposition methods for the conditional means, to propose explanations for… read more here.
Keywords: gap; racial gap; learn racial; sample selection ... See more keywords
Sample selection models with monotone control functions
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2021.01.010
Abstract: Abstract The celebrated Heckman selection model yields a selection correction function (control function) proportional to the inverse Mills ratio, which is monotone. This paper studies a sample selection model that does not impose parametric distributional… read more here.
Keywords: control; latent error; selection; sample selection ... See more keywords
Estimation of house price differential of urban tree cover: an application of sample selection approach
Sign Up to like & getrecommendations! Published in 2018 at "Applied Economics"
DOI: 10.1080/00036846.2017.1409419
Abstract: ABSTRACT Hedonic valuation of urban forest amenities tends to assume that these attributes are exogenous to sample selection, which might render the estimated results misleading. This article intends to estimate the house price differential of… read more here.
Keywords: tree cover; sample selection; price differential; cover ... See more keywords
Calibrated estimators in two-stage sampling
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1433850
Abstract: ABSTRACT We consider the problem of the estimation of the population mean of a study variable by assuming that the population means of an auxiliary variable are known at both stages of sample selection. The… read more here.
Keywords: stages sample; two stage; sample selection; calibrated estimators ... See more keywords
Optimized sample selection for cost-efficient long-read population sequencing.
Sign Up to like & getrecommendations! Published in 2021 at "Genome research"
DOI: 10.1101/gr.264879.120
Abstract: An increasingly important scenario in population genetics is when a large cohort has been genotyped using a low-resolution approach (e.g. microarrays, exome capture, short-read WGS), from which a few individuals are selected for resequencing using… read more here.
Keywords: optimized sample; long read; sample selection; svcollector ... See more keywords
College majors and wages in Turkey: OLS and quantile regression with sample selection correction
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Development Issues"
DOI: 10.1108/ijdi-02-2021-0047
Abstract: Purpose This study aims to analyze the wage differentials of the majors in college education in Turkey, which is a country implementing an ongoing expansion in college education in recent years. Design/methodology/approach The study implements… read more here.
Keywords: sample selection; college; quantile regression; wage ... See more keywords
Statistical Sample Selection and Multivariate Knowledge Mining for Lightweight Detectors in Remote Sensing Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3192013
Abstract: In recent years, more concerns are shed on the lightweight detection model in remote sensing (RS), but it is difficult to reach a competitive performance relative to the deep model. Knowledge distillation has been verified… read more here.
Keywords: remote sensing; knowledge; multivariate knowledge; selection ... See more keywords
Toward Efficient Safety Helmet Detection Based on YoloV5 With Hierarchical Positive Sample Selection and Box Density Filtering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3169564
Abstract: Object detectors based on convolutional neural networks (CNNs) have been widely deployed in industrial production for safety detection to guarantee the security of workers, and safety helmet detection is one of the most crucial application… read more here.
Keywords: sample selection; detection; safety helmet; helmet detection ... See more keywords
Graph Node Based Interpretability Guided Sample Selection for Active Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3215017
Abstract: While supervised learning techniques have demonstrated state-of-the-art performance in many medical image analysis tasks, the role of sample selection is important. Selecting the most informative samples contributes to the system attaining optimum performance with minimum… read more here.
Keywords: active learning; interpretability; sample selection; sample ... See more keywords
Sample Balancing for Deep Learning-Based Visual Recognition
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2947789
Abstract: Sample balancing includes sample selection and sample reweighting. Sample selection aims to remove some bad samples that may lead to bad local optima. Sample reweighting aims to assign optimal weights to samples to improve performance.… read more here.
Keywords: sample balancing; visual recognition; sample selection; deep learning ... See more keywords
Collider bias (aka sample selection bias) in observational studies: why the effects of hyperandrogenism in elite women’s sport are likely underestimated
Sign Up to like & getrecommendations! Published in 2019 at "British Journal of Sports Medicine"
DOI: 10.1136/bjsports-2018-100054
Abstract: The medical condition of hyperandrogenism has entered common parlance because the International Association of Athletics Federation (IAAF) decided to ban women with the condition from competing against women who have ‘normal’ levels of testosterone (see… read more here.
Keywords: collider bias; selection bias; sample selection; aka sample ... See more keywords