Скачать или смотреть How To Create Bayesian Models? - The Friendly Statistician

How To Create Bayesian Models? In this informative video, we will guide you through the process of creating Bayesian models for data analysis. Bayesian models are powerful tools that allow you to incorporate probabilities into your understanding of data. We will cover the essential steps involved in building these models, starting from defining your research question and understanding the nature of your data.

You will learn how to specify the likelihood model that best fits your data type, whether it's continuous, count, or proportion data. We will also discuss the importance of prior distributions and how they reflect your beliefs about parameters before seeing the data. Additionally, we will explain how to formulate the Bayesian model using Bayes' theorem to combine your likelihood and prior into a posterior distribution.

Moreover, we will delve into the computational aspects of implementing these models, including the use of software tools and setting parameters for optimal performance. Finally, we will address how to assess your model's fit and interpret the results effectively. This video is perfect for anyone interested in data analysis, statistics, or applying Bayesian methods in real-world scenarios. Join us for this detailed walkthrough, and don’t forget to subscribe to our channel for more engaging content on measurement and data.

⬇️ Subscribe to our channel for more valuable insights.

🔗Subscribe: https://www.youtube.com/@TheFriendlyS...

#BayesianModels #DataAnalysis #StatisticalModels #Probability #ResearchMethods #LikelihoodModel #PriorDistributions #PosteriorDistribution #MCMC #DataScience #StatisticalAnalysis #RProgramming #PyMC #Stan #DataVisualization

About Us: Welcome to The Friendly Statistician, your go-to hub for all things measurement and data! Whether you're a budding data analyst, a seasoned statistician, or just curious about the world of numbers, our channel is designed to make statistics accessible and engaging for everyone.