Johns Hopkins Applied Statistics 754

• Announcements
• Syllabus
• Lecture Notes
• In Class Projects
• Homeworks

Announcements

• March 27: Welcome to class.
• March 29:[Link]
• April 3:[Link]
• April 10:[Link]
• April 12:[Link]
• April 17:[Link]
• April 19:[Link]
• April 24:[Link]
• April 26:[Link]
• May 1:[Link]
• May 3:[Link]
• May 8:[Link]
• May 10:[Link]
• May 15:[Link]
• May 17:[Link]

Syllabus

• [Link]

Lecture Notes

• Course Motivation: [Link]
• Analysis Flow: [Link]
• Getting Data: [Link]
• Manipulating Data [Link]
• Working with strings [Link]
• EDA:Plotting [Link]
• EDA:Clustering [Link]
• EDA: SVD and PCA [Link]
• Randomness and Parameters [Link]
• Regression:Estimating Equations and GLMs [Link]
• Regression:In R [Link]
• Regression:Model Checking [Link]
• Regression: Binary Data and Multiway Tables [Link]
• The Bootstrap [Link]
• Prediction [Link]
• Simulation [Link]
• EM Algorithm [Link]
• High Dimensional Inference [Link]
• Course Wrap Up [Link]

In Class Projects

March 29: [Link] April 10: [Link] April 17: [Link] April 24: [Link] April 26: [Link] May 8: [Link]

Homeworks

March 27: [Link] April 10: [Link] April 24: [Link]