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20152026
most citedProjective classification of jets of surfaces in 3-space

5 citations · 14 across the 20 of their papers we have counts for

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math.ST2026

At least seven modes in a heteroscedastic three-component bivariate Gaussian mixture

Yutaro Kabata, Hirotaka Matsumoto, Akifumi Okuno

A Gaussian mixture density can have more modes than components. It has been conjectured that the maximum number of modes of a -variate -component Gaussian mixture density is…

math.ST2026

On Mixtures of Three Homoscedastic Gaussian Densities: An Unconditional Sharper Bound on the Number of Modes

Akifumi Okuno, Yutaro Kabata

It is known that a mixture of three homoscedastic multivariate Gaussian densities whose centers form an equilateral triangle can have four modes, owing to the emergence of a ``ghos…

math.ST2025

Algebraic Approach for Orthomax Rotations

Ryoya Fukasaku, Michio Yamamoto, Yutaro Kabata +2

In exploratory factor analysis, rotation techniques are employed to derive interpretable factor loading matrices. Factor rotations deal with equality-constrained optimization probl…

math.ST2024

Singularities in bivariate normal mixtures

Yutaro Kabata, Hirotaka Matsumoto, Seiichi Uchida +1

We investigate mappings where are bivariate normal densities from the perspective of singularity theory of mappi…

math.ST2024★ 2 cited

Algebraic approach to maximum likelihood factor analysis

Ryoya Fukasaku, Kei Hirose, Yutaro Kabata +1

In exploratory factor analysis, model parameters are usually estimated by maximum likelihood method. The maximum likelihood estimate is obtained by solving a complicated multivaria…