Pinned Repositories
bivariate-beta
Discussions about the bivariate beta introduced by Olkin and Trikalinos.
covid-19-model
A model for COVID-19 with isolation, quarantine and testing as control measures. Code for the numerical simulations.
discrete-mathematics
Repository with exercises in the subject Discrete Mathematics, that include formal logic.
espotifai
Automatic Playlist Recommender project as part of the Data Science Fundamentals course at FGV EMAp.
modelo-tcc-emap
Este repositório contém os arquivos necessários para começar o Trabalho de Conclusão de Curso da Escola de Matemática Aplicada (FGV EMAp)
optimal-control-biological
Optimal Control Theory's study based on Suzzane Lenhart's book. Theoretical notes and numeric simulation developed.
project-network-science
Final project for the discipline Network Science of the Ph.D. course in Mathematical Modelling at FGV EMAp.
rds-bayesian-analysis-tcc
Bachelor's dissertation on prevalence estimation and binary regression methods for respondent-driven sampling with outcome uncertainty.
ta-sessions
This repository includes codes related with the FGV EMAp lectures which I worked as teacher assitant.
time-series
Studies and homework of the Time Series course at FGV EMAp.
lucasmoschen's Repositories
lucasmoschen/modelo-tcc-emap
Este repositório contém os arquivos necessários para começar o Trabalho de Conclusão de Curso da Escola de Matemática Aplicada (FGV EMAp)
lucasmoschen/ta-sessions
This repository includes codes related with the FGV EMAp lectures which I worked as teacher assitant.
lucasmoschen/optimal-control-biological
Optimal Control Theory's study based on Suzzane Lenhart's book. Theoretical notes and numeric simulation developed.
lucasmoschen/bivariate-beta
Discussions about the bivariate beta introduced by Olkin and Trikalinos.
lucasmoschen/covid-19-model
A model for COVID-19 with isolation, quarantine and testing as control measures. Code for the numerical simulations.
lucasmoschen/rds-bayesian-analysis-tcc
Bachelor's dissertation on prevalence estimation and binary regression methods for respondent-driven sampling with outcome uncertainty.
lucasmoschen/project-network-science
Final project for the discipline Network Science of the Ph.D. course in Mathematical Modelling at FGV EMAp.
lucasmoschen/time-series
Studies and homework of the Time Series course at FGV EMAp.
lucasmoschen/discrete-mathematics
Repository with exercises in the subject Discrete Mathematics, that include formal logic.
lucasmoschen/numerical-linear-algebra
Repository with some scripts developed in the subject Numerical Linear Algebra.
lucasmoschen/phd-bayesian-statistics
Codes and notes for the Ph.D course in Bayesian Statistics at the School of Applied Mathematics.
lucasmoschen/topological-data-analysis
Homework and codes in the Topological Data Analysis with Persistent Homology course at FGV EMAp.
lucasmoschen/computer-graphics
Repository of the projects in the subject Introduction to Computer Graphics.
lucasmoschen/search-engine
Implementation of a search engine for Data Structures and Algorithms course at FGV EMAp.
lucasmoschen/BayesianStatisticsCourse
PhD-level course at [EMAp](https://emap.fgv.br/en)
lucasmoschen/book
Book about Logic in Discrete Mathematics written by my class at FGV EMAp.
lucasmoschen/computational-statistics
Homework and codes from the Computational Statistics course of the PhD's at FGV EMAP.
lucasmoschen/Curso_Blockchain
Indtroductory course to cryptocurrencies and applications of Blockchain technologies.
lucasmoschen/data-science-fundamentals
Homework and codes from the Data Science Fundamentals course of the Master's at FGV EMAP.
lucasmoschen/data-structures-and-algorithms
Codes in Python and C++ from the Data Structures and Algorithms undergraduate course at FGV EMAp.
lucasmoschen/fgv-programming-languages
Código utilizado no Curso de Linguagens de Programação com foco na Linguagem Python.
lucasmoschen/ISLR
Student Solutions to An Introduction to Statistical Learning with Applications in R
lucasmoschen/linear-programming
Linear and Integral Programming (EMAp) class material with examples and exercises
lucasmoschen/lucasmoschen.github.io
Personal website for academic purposes
lucasmoschen/machine-learning-project
Final project for the subject of Machine Learning at School of Applied Mathematics (FGV) based on air quality.
lucasmoschen/network-controllability
Project for my Master's thesis at Fundação Getulio Vargas (Brazil)
lucasmoschen/neural-networks
Codes and data for the course Neural Networks and Deep Learning of the PhD at FGV EMAp.
lucasmoschen/quantitative-finance
R programming language codes in Quantitative Finance course, a mixture of Statistics and Econometrics, at FGV EMAp.
lucasmoschen/stats-modelling
Resources for Statistical Modelling ("Modelagem Estatística").
lucasmoschen/tutorial-julia-opt