Regression models using the LINEX loss to predict lower bounds for the number of points for approximating planar contour shapes
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Publication:5056948
DOI10.1080/02664763.2021.1986685OpenAlexW3205920906MaRDI QIDQ5056948
Leif Ellingson, Chalani Prematilake, J. M. Thilini Jayasinghe
Publication date: 8 December 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2021.1986685
Linear regression; mixed models (62J05) Image analysis in multivariate analysis (62H35) Diagnostics, and linear inference and regression (62J20) Applications of statistics (62Pxx)
Cites Work
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- Statistical Shape Analysis, with Applications in R
- Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces
- Bayesian Estimation and Prediction Using Asymmetric Loss Functions
- A note on almost unbiased generalized ridge regression estimator under asymmetric loss
- Evaluation and prediction of polygon approximations of planar contours for shape analysis
- Shrinkage estimator of regression model under asymmetric loss
- Automatic Detection and Uncertainty Quantification of Landmarks on Elastic Curves
- Bayesian analysis of disturbances variance in the linear regression model under asymmetric loss functions
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