A novel Bayesian method for calculating circular error probability with systematic-biased prior information
DOI10.1155/2018/5930109zbMath1427.93175OpenAlexW2884019087MaRDI QIDQ1721145
Liang Yan, Xiao-Jun Duan, Bo Wen Liu
Publication date: 8 February 2019
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2018/5930109
Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) Application models in control theory (93C95) Estimation and detection in stochastic control theory (93E10)
Cites Work
- CEP calculation based on weighted Bayesian mixture model
- Applications of the representative points in statistical simulations
- A parametric \(k\)-means algorithm
- Principal points
- Note on Grouping
- Estimation of Principal Points
- Assessing circular error probable when the errors are elliptical normal
- Representative points for location-biased datasets
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