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Bayesian Parameter Estimation of Skew Normal Distribution

Abstract Number:

2276 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Poster 

Participants:

Woosuk Kim (1), Alexander Kim (2)

Institutions:

(1) Slippery Rock University, N/A, (2) Johns Hopkins University, N/A

Co-Author:

Alexander Kim  
Johns Hopkins University

First Author:

Woosuk Kim  
Slippery Rock University

Presenting Author:

Alexander Kim  
Johns Hopkins University

Abstract Text:

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| | |

Sponsors:

Section on Bayesian Statistical Science

Tracks:

Bayesian Theory and Foundations

Can this be considered for alternate subtype?

Yes

Are you interested in volunteering to serve as a session chair?

Yes

I have read and understand that JSM participants must abide by the Participant Guidelines.

Yes

I understand that JSM participants must register and pay the appropriate registration fee by June 3, 2025. The registration fee is non-refundable.

I understand