GUILHERME ARMANDO DE ALMEIDA PEREIRA

Title: Doctor
Research groups: CNPq (Google Translator version)
Curriculum: http://lattes.cnpq.br/5139328860920389

Participation in projects:

Title	Starting date	Deadline (months)	Participation in the project
	01/08/2020	48	Coordinator *
	12/08/2019	96	Vice coordinator *

Participants in examination boards:

Title	Name	Defense date	Course
Machine Learning Methods for Optimal Reconciliation of Hierarchical and Grouped Time Series of Financial Institutions	ALBERSON DA SILVA MIRANDA	29/02/2024	Masters Degree in Economics
	CÉSAR MALAGUTI ANDRADE SOARES	17/03/2023	Masters Degree in Economics
An analysis of the quality of education on labour productivity and economic growth of the brasilian states (2005 to 2019)	EDUARDO ALVES PEREIRA	28/09/2022	Masters Degree in Economics

Disciplines taught:

Academic term	Code	Name	Hours	Course
2024/1	PECO5048	Statistics	30	Masters Degree in Economics
2024/1	PECO6048	Statistics	30	Doctorate in Economics
2023/2	PECO5044	Econometrics II	60	Masters Degree in Economics
2023/2	PECO6150	Research and Thesis Seminars I	15	Doctorate in Economics
2023/2	PECO6044	Econometrics II	60	Doctorate in Economics

Pages

Guided Students:

Name	Title	Defense date	Role	Type
ALBERSON DA SILVA MIRANDA	Probabilistic Optimal Conciliation Of Hierarquic Time Series		Advisor *	Proposal for msc dissertation
GABRIEL LOPES RODRIGUES	Forecasting recessions: brazilian economy case with highdimensional data and statistical learning applied to PROBIT		Advisor *	Proposal for msc dissertation
RICARDO ANDRÉ DA COSTA			Advisor *	Proposal for phd thesis
ALBERSON DA SILVA MIRANDA	Machine Learning Methods for Optimal Reconciliation of Hierarchical and Grouped Time Series of Financial Institutions	29/02/2024	Advisor	Academic master's dissertation
CÉSAR MALAGUTI ANDRADE SOARES		17/03/2023	Advisor *	MSc dissertation