Longitudinal shape analysis by using the spherical coordinates

DOI10.1080/02664763.2016.1201798OpenAlexW2462503987MaRDI QIDQ5138619

Mousa Golalizadeh, M. Moghimbeygi

Publication date: 4 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2016.1201798

zbMATH Keywords

triangulationspherical regressionshape analysisnon-parametriclongitudinal model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Shapes (aspects of topological manifolds) (57N25)

Related Items (1)

A longitudinal model for shapes through triangulation

Cites Work

• Toward a comprehensive framework for the spatiotemporal statistical analysis of longitudinal shape data
• Size and shape spaces for landmark data in two dimensions (with discussion)
• The statistical theory of shape
• Linear mixed models for longitudinal shape data with applications to facial modeling
• Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces
• Statistical Analysis of Spherical Data
• UNROLLING SHAPE CURVES
• Fitting Smooth Paths to Speherical Data
• Non‐parametric Regression for Circular Responses
• Shape-space smoothing splines for planar landmark data
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