Beta Likelihood Estimation and Its Application to Specify Prior Probabilities in Bayesian Network
Loc Nguyen · Journal of Advances in Mathematics and Computer Science · 2016
Maximum likelihood estimation (MLE) is a popular technique of statistical parameter estimation. When random variable conforms beta distribution, the research focuses on applying MLE into beta density function. This method is called beta likelihood estimation, which results out us...
Open access
Research Article
10.9734/BJMCS/2016/25731