Leader:Barbara Arizaga, Editora General USFQ Description:A well-calculated proposal: mathematical proposal to defeat COVID-19 and break free from the economic blockade Proyecto USFQ ID: –
Archivo de categoría: Mathematical models associated with COVID
Modelling the Infection Process with Noisy Data
Leader:Carlos Uribe, PhD (Professor of Economics, Administration and Economics Faculty, CADE)Santiago José Gangotena, PhD (Professor of Economics, Administration and Economics Faculty, CADE) USFQ Participants:7 students from the Economics Master´s Degree. Computational Economics class 2. Description: Estimate based on data on the course of infection to correct selection bias in reported cases and to report publicSigueSigue leyendo «Modelling the Infection Process with Noisy Data»
Measuring well-being and expectations in real time during Covid-19: Ecuador Case
Leader: Carlos Uribe, PhD (Professor of Economics, Administration and Economics Faculty, CADE) USFQ Participants:Diego Fernando Grijalva, PhD (Professor of Economics, Administration and Economics Faculty, CADE)Pablo Lucio Paredes, PhD (Dean of the Economics Faculty) External Participants:Ivan Gachet, PhD Description: The research focuses on the reliability of official data, parametric and non-parametric projections Faculty USFQ: Economics USFQSigueSigue leyendo «Measuring well-being and expectations in real time during Covid-19: Ecuador Case»
