Courses

Codes, theoretical results, and data analysis from courses taken during my bachelors (@ UFPR), and masters (@ UFMG, UNICAMP, KAUST, UFPR)

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Linear models extensions (check GitHub repo)

Offered by Professor Paulo Justiniano @ UFPR in 2015/2

• Piecewise models | Nonlinear models | Nonparametric models

• Likelihood for transformed random variables, theory | application

• Linear mixed models, studt cases: Poisson | Piecewise

• Heteroscedastic models, theory | application

Markovian models (check GitHub repo)

Offered by Professor Fernando Lucambio @ UFPR in 2016/1

• hw1 | hw2

Intro to machine learning (check GitHub repo)

Offered by Professor Eduardo Ferreira @ UFPR in 2016/1

• Gradient descent | Regularization | Resampling methods

• Supervisioned classification methods | Support Vector Machines

• Tree based methods | Text mining | Kobe Bryant shot selection

Machine learning (check GitHub repo)

Offered by Professor Marcos Prates @ UFMG in 2016/2

• hw1 | hw2 | hw3 | hw4 | Paper | Poster

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Statistical methods (check GitHub repo)

Offered by Professor Mariana Motta @ UNICAMP in 2017/1

• hw1 | hw2

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Computational Methods in Statistics

Offered by Professor Benilton Carvalho @ UNICAMP in 2017/1

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Applied Statistics and Data Analysis (check GitHub repo)

Offered by Professor Hernando Ombao @ KAUST in 2017/2

• hw1 | hw2 | hw3 | Midterm 1: Take-Home Part | Project

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Nonparametric Statistics

Offered by Professor Ying Sun @ KAUST in 2018/1

• hw1 (.Rnw) | hw2 (.Rnw) | hw3 (.Rnw) | hw4 (.Rnw) | hw5 (.Rnw)

• Project. presentation (.Rmd, template) | report (.Rnw)

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Machine learning

Offered by Professor Xiangliang Zhang @ KAUST in 2018/1

• hw1 (.Rnw) | hw2 (.Rnw) | hw3 (.Rnw) | hw4 (.Rnw) | hw5 (.Rnw)

• hw6 (.Rnw) | hw7 (.Rnw) | hw8 (.Rnw) | hw9 (.Rnw) | hw10 (.Rnw)

• Project, report (.Rnw)

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Numerical optimization

Offered by Professor Bernard Ghanem @ KAUST in 2018/1

• Coding part, hw2 (.Rnw) | hw3 (.Rnw)

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Numerical analysis

Offered by Professor Luiz Matioli @ UFPR in 2019/2

• Coding part, hw1 | hw2

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Computational Methods to Statistical Inference

Offered by Professors Paulo Justiniano and Wagner Bonat @ UFPR in 2019/2

• hw1 | hw2 | hw3 | Multinomial likelihood | Project (.R)

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Advanced Topics in Statistical Modeling

Guided study course offered by Professor Wagner Bonat @ UFPR in 2021/2

• Quasi-likelihood functions