Applied Statistics and Machine Learning Methods

We invite the submission of papers that highlight innovative applications of statistical methodologies and machine learning techniques across diverse fields, including but not limited to science, medicine, finance, business, economics, education, humanities, arts, music, sports, and law. Submissions should emphasize novel applications and include a thorough comparison and discussion of relevant statistical and machine learning approaches. The rationale for selecting the proposed method should be thoroughly supported, demonstrating its soundness and optimality within the applied context.