Seminario de Investigación en Estadística Aplicada: "Reproducibility in statistics (an update) and multilayer networks"

El Instituto de Estadística de la Facultad de Ciencias Económicas y de Administración (IESTA) invita a la comunidad universitaria a participar del Seminario de Investigación en Estadística Aplicada titulado Reproducibility in statistics (an update) and multilayer networks dirigido a estudiantes, docentes e investigadores.

La charla estará a cargo de Ivor Cribben, University of Alberta, y se llevará a cabo el lunes 9 de diciembre a las 14 horas en una modalidad híbrida:

• Presencial en el salón Multifuncional de FCEA (Gonzalo Ramirez 1926)
• Virtual a través de Zoom
  • ID Reunión: 848 0853 9491
  • Contraseña: MM7G=%g%ih

Resumen

Reproducibility, the ability to reproduce the results of published papers or studies using their computer code and data, is a cornerstone of reliable scientific methodology. Studies where results cannot be reproduced by the scientific community should be treated with caution. Multiple studies have demonstrated that scientific results are often not reproducible across research areas such as psychology and medicine. The fields of statistics prides itself on its openness when it comes to sharing both computer code and data. In this talk, we examine reproducibility in the field of statistics by attempting to reproduce the results in prominent journals. We discuss our findings and conclude with some author-specific and journal-specific recommendations to improve the research reproducibility in statistics. Time permitting, I will also discuss two research problems in multilayer networks, the first focusing on novel methodology and theory, and the second focusing on application and visualization.