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DSPA Chapter 20 Prediction and Internal… duration 31 minutes 4 seconds DSPA Chapter 20 Prediction and Internal… DSPA Chapter 20 Prediction and Internal Statistical Cross-validation	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… examinations +18 More From Tina Chang 0 likes 41 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 29th, 2017
DSPA Chapter 18 Big Longitudinal Data Analysis… duration 42 minutes 39 seconds DSPA Chapter 18 Big Longitudinal Data Analysis… DSPA Chapter 18 Big Longitudinal Data Analysis (Timeseries GEE GLMM SEM)	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,… mathematical sciences +16 More From Tina Chang 0 likes 67 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date July 1st, 2017
DSPA Chapter 17 (Regularized Linear Modeling and… duration 48 minutes 40 seconds DSPA Chapter 17 (Regularized Linear Modeling and… DSPA Chapter 17 (Regularized Linear Modeling and Controlled Variable Selection)	DSPA Chapter 17 (Regularized Linear Modeling and Controlled Variable Selection) DSPA Chapter 17 (Regularized Linear Modeling and Controlled Variable Selection) Classical techniques for choosing important covariates to include in a model of complex multivariate data relied on… examinations +16 More From Tina Chang 0 likes 36 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date July 1st, 2017
DSPA Chapter 5 Dimensionality Reduction duration 50 minutes 23 seconds DSPA Chapter 5 Dimensionality Reduction DSPA Chapter 5 Dimensionality Reduction	DSPA Chapter 5 Dimensionality Reduction DSPA Chapter 5 Dimensionality Reduction Dimensionality reduction techniques enable exploratory data analyses by reducing the complexity of the dataset, still approximately preserving important… mathematics +16 More From Tina Chang 0 likes 115 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
DSPA Chapter 2 Data Management in R duration 7 minutes 47 seconds DSPA Chapter 2 Data Management in R DSPA Chapter 2 Data Management in R	DSPA Chapter 2 Data Management in R DSPA Chapter 2 Data Management in R In this chapter, we will discuss strategies to import data and export results. Also, we are going to learn the basic tricks we need to know about processing… world wide web +16 More From Ivo Dinov 0 likes 266 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017