Computation of the highest posterior density interval in bayesian analysis
Journal of Statistical Computation and Simulation, 1993Noyan Turkkan, T. Pham-Gia
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Sample Size Calculations for Binomial Proportions via Highest Posterior Density Intervals
The Statistician, 1995Three different Bayesian approaches to sample size calculations based on highest posterior density (HPD) intervals are discussed and illustrated in the context of a binomial experiment. The preposterior marginal distribution of the data is used to find the sample size needed to attain an expected HPD coverage probability for a given fixed interval ...
Lawrence Joseph +2 more
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A Note on the Construction of Highest Posterior Density Intervals
Applied Statistics, 1986This note deals with the numerical construction of highest posterior density intervals and the related problem of evaluating tail area probabilities. The methods described are applicable to univariate unimodal probability density functions. The problem of making inferences about the spread of a normal distribution is used as an example.
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Confidence intervals for the variance and difference of variances of Birnbaum-Saunders distributions
Journal of Statistical Computation and Simulation, 2022Wisunee Puggard +2 more
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Fast feature selection for interval-valued data through kernel density estimation entropy
International Journal of Machine Learning and Cybernetics, 2020Jianhua Dai, Xiaofeng Liu
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Cancer Of The Cervix: Time Interval In Repeating A Cytology Smear
Ca-A Cancer Journal for Clinicians, 1967Andrew V Schally
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Bayesian Mixture Labeling by Highest Posterior Density
Journal of the American Statistical Association, 2009Weixin Yao
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Improvement on Monte Carlo estimation of HPD intervals
Communications in Statistics Part B: Simulation and Computation, 2020Hoa Le, Uyen Pham, Phuong Nguyen
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Frequentist validity of highest posterior density regions in the multiparameter case
Annals of the Institute of Statistical Mathematics, 1993Rahul Mukerjee
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Calculating the content and boundary of the highest posterior density region via data augmentation
Biometrika, 1990Martin A Tanner
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