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Tu, Wangshu
10  Ergebnisse:
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1

A mixture of logistic skew-normal multinomial models:

Tu, Wangshu ; Browne, Ryan ; Subedi, Sanjeena
Computational Statistics & Data Analysis.  196 (2024)  - p. 107946 , 2024
Link: https://doi.org/10.1016/..
 
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2

Return of participant-level clinical trial results to parti..:

Hoffman, Eric ; Gaglianone, Suzanne ; Ketema, Rahel...
BMJ Open.  14 (2024)  3 - p. e080097 , 2024
Link: https://doi.org/10.1136/..
 
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3

Penalized logistic normal multinomial factor analyzers for ..:

Tu, Wangshu ; Subedi, Sanjeena
Journal of Statistical Research.  56 (2023)  2 - p. 185-216 , 2023
Link: https://doi.org/10.3329/..
 
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4

Logistic Normal Multinomial Factor Analyzers for Clustering..:

Tu, Wangshu ; Subedi, Sanjeena
Journal of Classification.  40 (2023)  3 - p. 638-667 , 2023
Link: https://doi.org/10.1007/..
 
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5

Race, excess suspicion, and larceny in Upstate NY:

Massey, Sean G. ; Kauffman, Richard A. ; Chen, Mei-Hsiu.
Criminal Justice Studies.  , 2022
Link: https://doi.org/10.1080/..
 
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6

Adverse outcome pathways and linkages to transcriptomic eff..:

Yu, Jihang ; Tu, Wangshu ; Payne, Andrea...
International Journal of Radiation Biology.  98 (2022)  12 - p. 1789-1801 , 2022
Link: https://doi.org/10.1080/..
 
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7

A family of mixture models for biclustering:

Tu, Wangshu ; Subedi, Sanjeena
Statistical Analysis and Data Mining: The ASA Data Science Journal.  15 (2021)  2 - p. 206-224 , 2021
Link: https://doi.org/10.1002/..
 
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8

Penalized logistic normal multinomial factor analyzers for ..:

Tu, Wangshu ; Subedi, Sanjeena
https://www.banglajol.info/index.php/JStR/article/view/67469/45254.  , 2023
Link: https://www.banglajol.in..
 
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9

Logistic Normal Multinomial Factor Analyzers for Clustering..:

Tu, Wangshu ; Subedi, Sanjeena
http://arxiv.org/abs/2101.01871.  , 2021
Link: http://arxiv.org/abs/210..
 
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10

A Family of Mixture Models for Biclustering:

Tu, Wangshu ; Subedi, Sanjeena
http://arxiv.org/abs/2009.05098.  , 2020
Link: http://arxiv.org/abs/200..
 
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