On parameter estimation for N(μ,σ2I3) based on projected data into S2

The projected normal distribution, with isotropic variance, on the 2-sphere is considered using intrinsic statistics. It is shown that in this case, the expectation commutes with the projection, and that the covariance of the normal variable has a 1-1 correspondence with the intrinsic covariance of the projected normal distribution. This allows us to estimate, after the model identification, the parameters of the underlying normal distribution that generates the data.

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Publication Details

Journal
Modern Stochastics Theory and Applications
Published
2025-01-01
DOI
https://doi.org/10.15559/25-vmsta279
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

On parameter estimation for N(μ,σ2I3) based on projected data into S2

Lauri Viitasaari, Jordi-Lluís Figueras, Aron Persson
Modern Stochastics Theory and Applications
Medical Imaging Techniques and Applications
article

On parameter estimation for N(μ,σ2I3) based on projected data into S2

Lauri Viitasaari, Jordi-Lluís Figueras, Aron Persson
article en

Abstract

The projected normal distribution, with isotropic variance, on the 2-sphere is considered using intrinsic statistics. It is shown that in this case, the expectation commutes with the projection, and that the covariance of the normal variable has a 1-1 correspondence with the intrinsic covariance of the projected normal distribution. This allows us to estimate, after the model identification, the parameters of the underlying normal distribution that generates the data.

Modern Stochastics Theory and Applications
Openalex Percentile: Top 79%
Medical Imaging Techniques and Applications
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