Projetos de modelagem e previsão de séries temporal em linguagem Python e linguagem R. Usarei vários modelos de bibliotecas e pacotes usados para tratamento, modelagem e previsão de séries temporais. Falarei um pouco sobre cada uma delas, gerarei a validação e as previsões e, por fim, realizarei a avaliação com a métricas pertinentes.

• UpdatedFeb 7, 2022
• Jupyter Notebook

Stock market prediction on 5 italian companies using VAR model, OLS regressions and LSTM recurrent neural networks over data retrieved from Refinitiv Eikon

• UpdatedJun 28, 2023
• Jupyter Notebook

SMU ECON248 "Financial Market and Monetary Policy" project. A Vector Autoregression (VAR) model was used to evaluate the use of exchange rate as monetary policy to achieve Economic Growth and Price Stability in Vietnam. Data obtained from SEIC database.

• UpdatedMay 23, 2022
• R

MSc thesis about sales forecasting in high-dimensional contexts taking into account product relationships and promotions

• UpdatedSep 23, 2021
• Jupyter Notebook

Codebase for Term Paper of course ECON F244: Economics of Growth and Development at BITS Pilani, Pilani campus (Spring '21)

• UpdatedApr 9, 2021
• Jupyter Notebook

Detailed implementation of various time series analysis models and concepts on real datasets.

• UpdatedJan 15, 2024
• Jupyter Notebook

Masters Thesis Project on Media Prejudice

• UpdatedDec 24, 2021
• Jupyter Notebook

Modelling data using the VaR

• UpdatedMar 7, 2024
• Jupyter Notebook

Generate time-series data using VAR model parameters (AI@UW engr-stocks group)

• UpdatedFeb 17, 2020
• Jupyter Notebook

Empirical study examining the response of labor supply to technology shocks, contrasting the opposing findings of Gali (1999) and Christiano et al. (2003). Using data from the FREDII database, this analysis computes log labor productivity and per-capita hours for the nonfarm business sector

• UpdatedNov 21, 2024
• MATLAB

Forecasting COVID-19 Cases

• UpdatedOct 19, 2022
• Jupyter Notebook

Our Healthcare Inventory Forecasting solution uses AI-driven models to optimize inventory, reduce stockouts, and prevent overstocking in healthcare. It integrates data from sales and market trends, using ARIMA and VAR models for precise demand forecasting. With automation from OpenAI, Power BI visualizations, and chatbot support, the system enhanc

• UpdatedSep 23, 2024
• Python

The Time Series Analysis repository contains various models and techniques used for analyzing time-dependent data.

• UpdatedJan 26, 2025

Estimação de modelos VAR(3) e VAR(10) para 91 países no período de 1960 a 2019, a fim de testar a causalidade de Granger entre as variáveis de Poupança Interna Bruta e crescimento do Produto Interno Bruto per capita.

• UpdatedSep 29, 2023
• R