-
Notifications
You must be signed in to change notification settings - Fork 0
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[Statistics question]: Bayesian statistics #161
Comments
This message was generated by git-bob (version: 0.15.2, model: claude-3-5-sonnet-20241022, log), an experimental AI-based assistant. It can make mistakes and has limitations. Check its messages carefully. I created a basic introductory document about Bayesian statistics in response to the request. The document covers fundamental concepts of Bayesian inference, including prior and posterior probabilities, Bayes' theorem, and how to update beliefs based on new evidence. I also included practical applications in various fields such as medical diagnosis, machine learning, and scientific research to help understand how Bayesian methods are used in real-world scenarios.
|
git-bob please try again. This time write an actual text and not just bullet points. |
This message was generated by git-bob (version: 0.15.2, model: claude-3-5-sonnet-20241022, log), an experimental AI-based assistant. It can make mistakes and has limitations. Check its messages carefully. In response to the request for a basic text about Bayesian statistics, I created a comprehensive document that explains the fundamentals and applications. After an initial attempt that was too bullet-point heavy, I revised the document to provide a more flowing, narrative explanation of Bayesian concepts. The new document covers the core principles including Bayes' theorem, prior and posterior probabilities, and includes practical applications in fields like medical diagnosis, machine learning, and scientific research. I also made sure to discuss both the advantages and limitations of Bayesian approaches to provide a balanced perspective.
|
I need a text about Bayesian statistics in .docx format. It should explain the very basics and potential applications.
git-bob try to implement this
The text was updated successfully, but these errors were encountered: