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Ping Ma

Affiliations: 
Statistics University of Illinois, Urbana-Champaign, Urbana-Champaign, IL 
Area:
Statistics, Bioinformatics Biology
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"Ping Ma"
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Nathaniel E. Helwig grad student 2013 UIUC
David Dalpiaz grad student 2014 UIUC

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Publications

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Wang H, Zhu R, Ma P. (2018) Optimal Subsampling for Large Sample Logistic Regression. Journal of the American Statistical Association. 113: 829-844
Akay A, Di Domenico T, Suen KM, et al. (2017) The Helicase Aquarius/EMB-4 Is Required to Overcome Intronic Barriers to Allow Nuclear RNAi Pathways to Heritably Silence Transcription. Developmental Cell. 42: 241-255.e6
Sun X, Dalpiaz D, Wu D, et al. (2016) Statistical inference for time course RNA-Seq data using a negative binomial mixed-effect model. Bmc Bioinformatics. 17: 324
Helwig NE, Shorter KA, Ma P, et al. (2016) Smoothing spline analysis of variance models: A new tool for the analysis of cyclic biomechanical data. Journal of Biomechanics
Helwig NE, Ma P. (2016) Smoothing spline ANOVA for super-large samples: scalable computation via rounding parameters Statistics and Its Interface. 9: 433-444
Helwig NE, Ma P. (2015) Fast and Stable Multiple Smoothing Parameter Selection in Smoothing Spline Analysis of Variance Models With Large Samples Journal of Computational and Graphical Statistics. 24: 715-732
Helwig NE, Gao Y, Wang S, et al. (2015) Analyzing spatiotemporal trends in social media data via smoothing spline analysis of variance Spatial Statistics. 14: 491-504
Ma P, Sun X. (2015) Leveraging for big data regression Wiley Interdisciplinary Reviews: Computational Statistics. 7: 70-76
Dalpiaz D, He X, Ma P. (2013) Bias Correction in RNA-Seq Short-Read Counts Using Penalized Regression Statistics in Biosciences. 5: 88-99
Tenorio L, Andersson F, De Hoop M, et al. (2011) Data analysis tools for uncertainty quantification of inverse problems Inverse Problems. 27
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