Manuscript Topics

The complex process of creating real-world data samples and predictions based on a variety of statistical models and explicit assumptions is known as statistical modeling.
Thanks to the exponential evolution of the Internet and the computer system, research on statistical modeling is more active than ever, and many important discoveries are emerging every month.
This special issue aims to present a selection of original research articles on recent developments in statistical modeling. Methodological advances and real-world applications based on statistical models are welcome. We particularly encourage authors to submit high-level publications that present new theories, innovative methods, and practical applications in the context of current problems in statistical modeling.
Multivariate models, high-dimensional models, semi-parametric models, non-parametric models, categorical data models, latent variable models, and reliability models, all eventually illustrated by interesting data analysis if appropriate, are among the themes of interest.

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