The Plotly project for the Developing Data Products course in Johns Hopkins' Data Science Specialization

Sometimes researchers make a series of scientific findings and are often faced with the decision of either bundling some or all of these findings that are somewhat relevant, but also somewhat standalone, into one big paper and publish it in high-impact journals or separate these findings and focus on the specific merits of each finding and publish them separately. Here, we formalize this trade-off mathematically. The math is adapted from the well-established mechanism design theory for revenue maximization under multiple independent goods. Here, those goods are interpreted as individual scientific findings.

Práctica1

Curso de Métodos Cuantitativos en la ENAH

Table 1 exercise by Ronald Tamale