Modelos Lineares com Abordagem Bayesiana & COVID-19

Looking for an introductory course on Bayesian Regression Models? This course is perfect for you! It's designed as a beginner-friendly introduction to statistical modeling using a Bayesian approach.

We'll explore the three essential techniques in Bayesian statistical modeling:

• Bayesian Linear Regression (Simple): Learn the fundamentals of applying Bayesian methods to simple linear regression.
• Bayesian Multiple Linear Regression: Master multiple linear regression techniques with a Bayesian framework.
• Bayesian Analysis of Variance (ANOVA): Understand and apply Bayesian ANOVA for comparing means across groups.

This course demonstrates how to work with both qualitative and quantitative data to make predictions across a wide range of phenomena.

By the end of the course, you'll develop a comprehensive case study using official Brazilian data. We'll analyze COVID-19 mortality rates across different regions of Brazil, leveraging the predictive models taught throughout.

Presented with clear, accessible language while maintaining scientific rigor, this course is ideal for:

• Individuals needing to quickly learn statistical modeling techniques.
• Researchers aiming to incorporate rigorous scientific methods into their projects.

Whether you are an undergraduate student, master's student, doctoral candidate, established researcher, or a competitive intelligence professional, this course provides valuable skills. Gain practical experience with Bayesian statistics and predictive modeling.