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Sean Owen
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  • Austin, TX
  • United States
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saras saraswathi liked Sean Owen's blog post An Introduction to Bayesian Reasoning
Mar 15
Alfredo Sepulveda commented on Sean Owen's blog post An Introduction to Bayesian Reasoning
"Conjugates are optional only if they exist or (fixed dimensional) sufficient statistics exist for the likelihood function p(X|θ). If non-informative priors are only left then consider using Jeffreys, reference, probability matching,…"
Mar 11
Alfredo Sepulveda commented on Sean Owen's blog post An Introduction to Bayesian Reasoning
"Conjugates are optional only if they exist or (fixed dimensional) sufficient statistics exist for the likelihood function p(X|θ). If non-informative priors are only left then consider using Jeffreys, reference, probability matching,…"
Mar 11
Alfredo Sepulveda commented on Sean Owen's blog post An Introduction to Bayesian Reasoning
"Conjugates are optional only if they exist or (fixed dimensional) sufficient statistics exist for the likelihood function p(X|&theta). If non-informative priors are only left then consider using Jeffreys, reference, probability…"
Mar 11
Alfredo Sepulveda commented on Sean Owen's blog post An Introduction to Bayesian Reasoning
"Conjugates are optional only if they exist or (fixed dimensional) sufficient statistics exist for the likelihood function p(X|&theta. If non-informative priors are only left then consider using Jeffreys, reference, probability…"
Mar 11
Alfredo Sepulveda commented on Sean Owen's blog post An Introduction to Bayesian Reasoning
"Conjugates are optional only if they exist or (fixed dimensional) sufficient statistics exist for the likelihood function p(X|&theta) If non-informative priors are only left then consider using Jeffreys, reference, probability…"
Mar 11
Alfredo Sepulveda commented on Sean Owen's blog post An Introduction to Bayesian Reasoning
"Conjugates are optional only if they exist or (fixed dimensional) sufficient statistics exist for the likelihood function [math]p(X\theta[/math]. If non-informative priors are only left then consider using Jeffreys, reference, probability…"
Mar 11
Martin Dion Benes commented on Sean Owen's blog post An Introduction to Bayesian Reasoning
"Great post Sean! I don't know where in the post where the approach taken by a frequentist and a Bayesian became clearer to me but wherever it was, thank you.  I am looking forward to your next post on this topic."
Feb 18
Tauheedul Ali liked Sean Owen's blog post An Introduction to Bayesian Reasoning
Feb 17
Sean Owen posted a blog post

An Introduction to Bayesian Reasoning

An Introduction to Bayesian ReasoningYou might be using Bayesian techniques in your data science without knowing it! And if you're not, then it could enhance the power of your analysis. This blog post, part 1 of 2, will demonstrate how Bayesians employ probability distributions to add information when fitting models, and reason about uncertainty of the model's fit.Grab a coin. How fair is the coin? What is the probability p that it will land 'heads' when flipped? You flip the coin 5 times and…See More
Feb 15
Sean Owen liked Sean Owen's blog post An Introduction to Bayesian Reasoning
Feb 14
Paul Conway liked Sean Owen's blog post An Introduction to Bayesian Reasoning
Feb 14
Vincent Granville commented on Sean Owen's blog post An Introduction to Bayesian Reasoning
"I remember long ago when working on my PhD, I was using what was called "penalized likelihood" functions. This was just Bayesian stats in disguise, the "penalty" playing the role of a prior in Bayesian theory."
Feb 14
Sean Owen posted a blog post

An Introduction to Bayesian Reasoning

An Introduction to Bayesian ReasoningYou might be using Bayesian techniques in your data science without knowing it! And if you're not, then it could enhance the power of your analysis. This blog post, part 1 of 2, will demonstrate how Bayesians employ probability distributions to add information when fitting models, and reason about uncertainty of the model's fit.Grab a coin. How fair is the coin? What is the probability p that it will land 'heads' when flipped? You flip the coin 5 times and…See More
Feb 14
Sean Owen's blog post was featured

An Introduction to Bayesian Reasoning

An Introduction to Bayesian ReasoningYou might be using Bayesian techniques in your data science without knowing it! And if you're not, then it could enhance the power of your analysis. This blog post, part 1 of 2, will demonstrate how Bayesians employ probability distributions to add information when fitting models, and reason about uncertainty of the model's fit.Grab a coin. How fair is the coin? What is the probability p that it will land 'heads' when flipped? You flip the coin 5 times and…See More
Feb 14

Profile Information

Field of Expertise
Data Science, Machine Learning, Business Analytics
Your Company:
Databricks
Your Job Title:
Data Science Lead
Interests:
Contributing

Sean Owen's Blog

An Introduction to Bayesian Reasoning

Posted on February 13, 2019 at 8:00am 3 Comments

An Introduction to Bayesian Reasoning

You might be using Bayesian techniques in your data science without knowing it! And if you're not, then it could enhance the power of your analysis. This blog post, part 1 of 2, will demonstrate how Bayesians employ probability distributions to add information when fitting models, and reason about uncertainty of the model's fit.

Grab a coin. How fair is the coin? What is the probability…

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