We introduce a new class of location-scale models for dynamic functional data in arbitrary but fixed dimensions, where the location and scale functional parameters can evolve over time. A key feature of the parameter dynamics in these models is its observation-driven nature, where the...

We introduce a new class of location-scale models for dynamic functional data in arbitrary but fixed dimensions, where the location and scale functional parameters can evolve over time. A key feature of the parameter dynamics in these models is its observation-driven nature, where the...

Functional nutrition plays a critical role in maximizing athletic performance by adapting dietary strategies to meet the unique physiological needs of athletes. This approach goes beyond general nutritional guidelines and focuses on optimizing digestion, nutrient absorption and energy...

The high level of physical and neuropsychic stress, characteristic of modern sports, associated with a significant volume and intensity of training and competitive loads, activates metabolism in the body, and stimulates energy production processes, which determines the increased need for...

We evaluate the efficiency of public expenditure in the 27 European countries in achieving the Sustainable Development Goals (SDGs) of the 2030 Agenda. Using Data Envelopment Analysis (DEA), we map performance over the period 1995-2023, incorporating Musgravian functional spending –...