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04: Bayesian Parameter Estimation of Skew Normal Distribution

Alexander Kim Co-Author
Johns Hopkins University
 
Woosuk Kim First Author
Slippery Rock University
 
Alexander Kim Presenting Author
Johns Hopkins University
 
Tuesday, Aug 5: 10:30 AM - 12:20 PM
2276 
Contributed Posters 
Music City Center 
The skew normal distribution is a continuous probability distribution that generalizes the normal distribution to allow for non-zero skewness. In this poster presentation, we want to estimate parameters of the skew normal distribution by Bayesian technique and compare the results to the one from maximum likelihood estimation.

Keywords

Skew Normal Distribution

Bayesian Estimation

Maximum Likelihood Estimation 

Main Sponsor

Section on Bayesian Statistical Science