COURSE COVERAGE
Date  Coverage  Homework (from text, 5th edition) 

Sept.7  Introduction. Boeing AC data: data R script 

Sept.9  Confidence sets (1.3 of LW) 

Sept.12  Confidence sets (1.3 of LW) con't... [meet in Ross N638!] bernoulliCI.R  LW Section 1.6: q.4 (compare with 3),5 
Sept.14  Simulations in R and review (1.2 of LW) 

Sept.16  Finished review (1.2 and 1.4 of LW) and started of the EDF (2.1 of LW).  We'll finish the EDF and do simulations of it next time, so if you're not comfortable with R, work through previous questions and/or the primer. 
Sept.19  Empirical CDF continued: theory and simulations empiricalDF.R 

Sept.21  Continued inlab work on R simulations  
Sept.23  Continued work on R in lab (last one!)  
Sept.26  Statistical functionals (section 2.2 of LW)  homework 
Sept.28  Asymptotics of statistical functionals.  Find the asymptotic results for

Sept.30  Assignment two due Bootstrap (3.2 and 3.3 of LW) AC data R script 
LW Section 3.8: q8 
Oct.3  Boostrap con't: lab activity
nerve data info on nerve data 

Oct.5  Review  Study! 
Oct.7  TEST ONE  
Oct.1014  READING WEEK  
Oct.17  Bootstrap confidence intervals (3.4 of LW)  LW Section 3.8: q7 (no jackknife) and q11 
Oct.19  Bootstrap CIs con't: R script 

Oct.21  Does the bootstrap work? R script  LW Section 3.8: q9 and q13 
Oct.24  Intro to nonparametric regression R script  Read chapter 4 of LW (intro, 4.1, and 4.2 only) 
Oct.26  NadarayaWatson estimator (5.3 and 5.4 of LW)  
Oct.28  cross validation  
Oct.31  nonparametric regression in R
R script
lab activity
Final project data summary due 
Section 5.16 of LW: q1,4 
Nov.2  Lab con't.  Complete lab activity on your own, if you didn't finish it. 
Nov.4  local polynomial regression R script  Use theorem 5.65 from LW to find the asymptotically optimal choice of bandwidth h 
Nov.7  Finished local polynomial regression, started on density estimation (histograms)  
Nov.9  histograms and kernel density estimation R script  
Nov.11  Assignment Three Due
crossvalidation in density estimation curse of dimensionality 
Section 6.9 of LW: q2 
Nov.14  Final Project Plan Due
regression for density estimation 

Nov.16  R script
lab activity 

Nov.18  lab activity con't  
Nov.21  Confidence bands and variance estimation  
Nov.23  Global and local confidence bands for regression  
Nov.25  TEST TWO  
Nov.28  Confidence bands con't (regression, histograms, density estimation)  
Nov.30  Confidence bands: practical examples
wmap data galaxy data regression histograms kernel density estimation 

Dec.2  lab time  
Dec.5  lab time 