Finite mixtures of matrix-variate shifted generalized asymmetric Laplace distribution for three-way data

Key Points

• Analyzing three-way data reveals the effectiveness of finite mixtures in capturing underlying patterns.
• Key evidence indicates a strong fit of the proposed matrix-variate model compared to existing methods.
• Statistical modeling leverages the generalized asymmetric Laplace distribution to enhance data interpretation.
• Support for improved modeling techniques indicates potential utility across various fields involving complex data.