Introdução à Análise Bayesiana: Simulação Estocástica com R
Learn stochastic simulation methods & Bayesian statistics with biological examples in R. Practical application & data analysis.
Course Content
Introdução à Análise Bayesiana: Simulação Estocástica com R is a beginner-level Udemy course taught by André Marques. It runs 4h 56m, is taught in Portuguese, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 47 reviews, with 251 students enrolled. It is a paid course, first published December 2019.
Unlock the power of Bayesian Data Analysis with this comprehensive course, perfect for beginners! Go beyond the basics and master the unrestricted application of Bayesian statistics to simulate any probabilistic behavior.
This course dives deep into powerful stochastic simulation methods, equipping you with the skills to model complex systems. You'll learn:
- Introduction to Stochastic Processes: Build a solid foundation in the theory behind probabilistic systems.
- Monte Carlo Methods: Harness the power of random sampling for accurate estimations.
- Markov Chains: Explore sequential processes and their applications in modeling.
- Importance Sampling: Efficiently estimate probabilities by focusing on relevant regions.
- Posterior Distributions: Understand and utilize the core concept of Bayesian inference.
And much more! This course provides a practical understanding of Bayesian modeling and empowers you to simulate a wide range of real-world scenarios. Develop expertise in statistical modeling and gain a competitive edge in data science.
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