CAST Laboratory
Research and development in probability sampling, survey methodology and computational tools for Agricultural Surveys.
Who we are
The CAST Lab — Computational Agricultural Statistics Laboratory is a cooperative academic environment aiming at developing and testing innovative approaches for the improvement of computational and statistical methods applied to agricultural and rural data production and analysis.
Currently based at the Department of Statistics of The Federal University of Pernambuco, our team is formed by researchers from Brazil and Colombia, specialized in strategic areas of statistics, computing and engineering.
Research is developed in four major areas:
Probability sampling and survey methodology,
Computational tools for agricultural surveys,
Remote sensing applications to agriculture, and
Statistical modeling and data analysis.
People
Every Lab is only as good as its team. CAST is fortunate enough to work with talented & creative researchers.
Researchers
Hemílio Coelho
Professor of Sampling Statistics
Universidade Federal de Pernambuco
Andréa Diniz
Researcher at IBGE
Instituto Brasileiro de Geografia e Estatística
Cristiano Ferraz
Professor of Sampling Statistics
Universidade Federal de Pernambuco
André Leite
Professor of Operations Research
Universidade Federal de Pernambuco
Raydonal Ospina
Professor of Remote Sensing
Universidade Federal de Pernambuco
Marcel Vieira
Professor of Sampling Statistics
Universidade Federal de Juiz de Fora
Projects
Estimação resistente em modelos de regessão beta inflacionados
Projeto Individual Institucional - Cadastro Propesq - UFPE / 2018
Npar y Datos
Dessarrollo de métodos basados en rachas y rangos para varios tipos de problemas de hipótesis con diferentes modelos muestrales, en problemas de regresión y de modelos lineales.
Apps for Agricultural Statistics
Tools for supporting sampling design and data collection are under development, prioritizing new technologies.
External Project
An example of linking directly to an external project website using `external_link`.
Internal Project
An example of using the in-built project page.
Master Frames for Agricultural Statistics
Master sampling frames for generating agricultural and rural statistics.
Recent Publications
- 2019
-
2018
Agricultural master sampling frames in practice
In Food and Agriculture Organization of the United Nations.
-
2018
Brazilian network of PhDs working with probability and statistics
In Brazilian Journal of Probability and Statistics.
-
2018
Low-Complexity Approximate Convolutional Neural Networks
In Transactions on Neural Networks and Learning Systems, IEEE.
-
2017
Convergence Time and Phase Transition in a Non-monotonic Family of Probabilistic Cellular Automata
In Journal of Statistical Physics.
-
2017
Empirical assessment of two approaches for specifying software product line use case scenarios
In Software & Systems Modeling, Sringer.
-
2015
Energy-Efficient 8-Point DCT Approximations: Theory and Hardware Architectures
In Circuits, Systems, and Signal Processing, Sringer.
-
2014
Human Formation of Young People and Adults in Brazil: Proposal for and Evaluation of a Curriculum Component
In International Education Studies.
-
2012
Finite population estimation under generalized linear model assistance
In Computational Statistics and Data Analysis, Elservier.
Contact
Departamento de Estatística, UFPE, Recife - Brazil