Introduction on Bias Correction Methods (original) (raw)
Related papers
Iterative bias reduction: a comparative study
Statistics and Computing, 2012
2023
The Impact of Response Instruction and Target Group on the BIAS Map
Frontiers in Psychology, 2020
Journal of Eating Disorders, 2016
Sample Selection Bias Correction for Missing Response Observations
Oxford Bulletin of Economics and Statistics, 2000
Error Detection, Selection, & Correction
Computer Aided Chemical Engineering, 2019
Biasing and high-order statistics from the SSRS2
1998
Towards Composable Bias Rating of AI Services
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018
Bias Robust Estimation of Scale
The Annals of Statistics, 1993
Bias in machine learning software: why? how? what to do?
Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Heterogeneous Parameters for Accuracy Threat
2011
Loss Reserving Using Estimation Methods Designed for Error Reduction
SSRN Electronic Journal
8 a New Method for Fast Computing Unbiased
2016
Bias adjustment and the nature of health-state utility
Journal of Law and the Biosciences, 2020
Finite Sample Corrections for Parameters Estimation and Significance Testing
Frontiers in Applied Mathematics and Statistics, 2018
Empirical models, rules, and optimization
A shrunken leaving-one-out estimator of error rate
Computers & Mathematics with Applications, 1987
Self-Calibration: Reversal, Redundancy, Error Separation, and ‘Absolute Testing’
CIRP Annals - Manufacturing Technology, 1996
New adjustment procedure for distortion in age distribution
2023
Bias in data‐driven artificial intelligence systems—An introductory survey
WIREs Data Mining and Knowledge Discovery, 2020
Error negativity on correct trials: a reexamination of available data
Biological Psychology, 2003
Correction of Verication Bias using Log-linear Models for a Single Binaryscale Diagnostic Tests
Journal of Biometrics & Biostatistics
A note on regression to the mean
Social biology, 1975
Tests for unbalanced error-components models under local misspecification
Ophthalmology, 2007
Assessing Error Rate Estimators: The Leave-One-Out Method Reconsidered
Australian Journal of Statistics, 1997
Fine-Tuning Algorithm Parameters using the Design of Experiments
2011
Tests for the error component model in the presence of local misspecification
2001
Sensitivity and Scenario Results
The Impacts of Climate Risks on Water and Agriculture, 2013
Errors Conference Executive Summary
Academic Emergency Medicine, 2000
A Part-Based Skew Estimation Method
2012
A Proposal for Identifying and Managing Bias in Artificial Intelligence
2021
Is calibration a fairness requirement?
2022 ACM Conference on Fairness, Accountability, and Transparency