Generalized Normal Distribution

The generalized normal distribution (GND) is a flexible family of probability distributions encompassing a wide range of shapes, making it valuable for modeling diverse real-world phenomena. Current research focuses on extending GND's applicability through novel computational methods for efficient evaluation and integration with machine learning techniques, such as boosted GND models that leverage operational knowledge to improve distributional forecasting. These advancements are improving the accuracy and interpretability of statistical models across various fields, including healthcare, image processing, and generative modeling, leading to more effective data analysis and decision-making. The development of new GND-based models, like the gamma generalized normal distribution, further expands its utility for specific applications.