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Penalized clusterin of large-scale functional data with multiple covariates
Ma, Ping; Zhong, Wenxuan - In: Journal of the American Statistical Association : JASA 103 (2008) 482, pp. 625-636
Persistent link: https://www.econbiz.de/10003751879
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Theory and Methods - Penalized Clustering of Large-Scale Functional Data With Multiple Covariates
Ma, Ping; Zhong, Wenxuan - In: Journal of the American Statistical Association : JASA 103 (2008) 482, pp. 625-636
Persistent link: https://www.econbiz.de/10008083845
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Penalized Clustering of Large-Scale Functional Data With Multiple Covariates
Ma, Ping; Zhong, Wenxuan - In: Journal of the American Statistical Association 103 (2008) June, pp. 625-636
Persistent link: https://www.econbiz.de/10005532837
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Bayesian clustering of transcription factor binding motifs
Jensen, Shane T.; Liu, Jun S. - In: Journal of the American Statistical Association : JASA 103 (2008) 481, pp. 188-200
Persistent link: https://www.econbiz.de/10003676682
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Implementation of estimating function-based inference procedures with Markov chain Monte Carlo samplers
Tian, Lu; Liu, Jun S.; Wei, L. J. - In: Journal of the American Statistical Association : JASA 102 (2007) 479, pp. 881-897
Persistent link: https://www.econbiz.de/10003567947
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Implementation of estimating function-based inference procedures with Markov chain Monte Carlo samplers: rejoinder
Tian, Lu; Liu, Jun S.; Wei, L. J. - In: Journal of the American Statistical Association : JASA 102 (2007) 479, pp. 897-900
Persistent link: https://www.econbiz.de/10003567969
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Sequential Monte Carlo methods for statistical analysis of tables
Chen, Yuguo; Diaconis, Persi; Holmes, Susan P.; Liu, Jun S. - In: Journal of the American Statistical Association : JASA 100 (2005) 469, pp. 109-120
Persistent link: https://www.econbiz.de/10002703054
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Discovery of conserved sequence patterns using a stochastic dictionary model
Gupta, Mayetri; Liu, Jun S. - In: Journal of the American Statistical Association : JASA 98 (2003) 461, pp. 55-66
Persistent link: https://www.econbiz.de/10001754123
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Bayesian inference for assessing effects of email marketing campaigns
Wu, Jiexing; Li, Kate J.; Liu, Jun S. - In: Journal of business & economic statistics : JBES ; a … 36 (2018) 2, pp. 253-266
Persistent link: https://www.econbiz.de/10011894700
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Bayesian Aggregation of Order-Based Rank Data
Deng, Ke; Han, Simeng; Li, Kate J.; Liu, Jun S. - In: Journal of the American Statistical Association 109 (2014) 507, pp. 1023-1039
Rank aggregation, that is, combining several ranking functions (called base rankers) to get aggregated, usually stronger rankings of a given set of items, is encountered in many disciplines. Most methods in the literature assume that base rankers of interest are equally reliable. It is very...
Persistent link: https://www.econbiz.de/10010951794