Bayesian inference for the proportion of true null hypotheses using minimum Hellinger distance

DOI10.1016/J.JSPI.2011.10.001zbMath1232.62048OpenAlexW2000479829MaRDI QIDQ665031

Jae Won Lee, Moonsu Kang

Publication date: 5 March 2012

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2011.10.001

zbMATH Keywords

Dirichlet processmicroarraysstrong dependenceIWMDE

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Bayesian inference (62F15)

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Optimal sampling frequency for high frequency data using a finite mixture model

Cites Work

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• Marginal Likelihood from the Gibbs Output
• Minimum hellinger distance estimation for normal models
• Statistical analysis of finite mixture distributions
• Importance-Weighted Marginal Bayesian Posterior Density Estimation
• Minimum Hellinger Distance Estimation for Finite Mixture Models
• Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
• Marginal Likelihood From the Metropolis–Hastings Output

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