The Bayes Estimators of the Variance and Scale Parameters of the Normal Model With a Known Mean for the Conjugate and Noninformative Priors Under Stein's Loss.
Ying-Ying ZhangTengzhong RongMan-Man LiPublished in: Frontiers Big Data (2021)
Keyphrases
- parameter estimation
- high level
- parametric models
- parameter values
- computational model
- input data
- normal distribution
- maximum likelihood estimation
- bayesian framework
- probabilistic model
- hidden markov models
- prior knowledge
- neural network
- probability distribution
- sensitivity analysis
- objective function
- genetic algorithm