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DSPA Chapter 20 Prediction and Internal Statistical Cross-validation

Chapter 20 uses Google Flu Trends, Autism, and Parkinson’s disease case-studies to illustrate (1) alternative forecasting types using linear and non-linear predictions, (2) exhaustive and…

From  Tina Chang on August 30th, 2017 0 likes 32 plays 0  

DSPA Chapter 18 Big Longitudinal Data Analysis (Timeseries GEE GLMM SEM)

DSPA Chapter 18 Big Longitudinal Data Analysis (Timeseries GEE GLMM SEM)The time-varying (longitudinal) characteristics of large information flows represent a special case of the complexity, dynamic…

From  Tina Chang on July 17th, 2017 0 likes 31 plays 0  

DSPA Chapter 16 (Variable Selection)

DSPA Chapter 16 (Variable Selection) As we mentioned in Chapter 15, variable selection is very important when dealing with bioinformatics, healthcare, and biomedical data where we may have more…

From  Tina Chang on July 17th, 2017 0 likes 24 plays 0  

DSPA: Chapter 1 Foundations of R

DSPA: Chapter 1 Foundations of R This chapter introduces the foundations of R programming for visualization, statistical computing and scientific inference. Specifically, in this chapter we will…

From  Ivaylo Dinov on June 15th, 2017 0 likes 389 plays 0