Course Schedule

 
Dates
Topics
Out
Due 
Reading
1/18
H1 
 
1.1-1.2
1/20
 
  
1.3-1.4
1/25
    H2
1.5
1/27
 
 
1.6
 2/1
 Discrete RVs: Prob mass functions  H3  H2  2.1-2.2
2/3 Expectation and Variance     2-3-2.4
2/8 Joint PMFs and Conditioning H4 H3 2-5-2.6
2/10 Conditioning (cont) and Independence     2.6-2.7
2/15 General RVs: Continuous 1 H5 H4 3.1
2/17 CDFs and Normal     3.2-3.3
2/22 Joint PDFs and Conditioning H6 H5 3.4-3.5, 4.1
2/24 Conditioning and Bayes Rule     3.6-3.7, 4.1
3/1 Covariance, Iterated Expectation     4.2-4.3
3/3 Midterm 1: (through 2/17)  solutions  statistics  
3/8 Transforms H7 H6 4.4-4.5
3/10 Chebyshev, Weak Law     5.1-5.2
3/15 Central Limit Theorem H8 H7 5.3-5.5
3/17 BernoulliProcesses     6.1
3/22,3/24 Spring Break      
3/29 Poissson Process H9 H8 6.2
3/31 Poisson Processes     7.1-7.2
4/5 Discrete Time Markov Chains H10 H9 7-3-7.4
4/7 Discrete Time Markov Chains     7.5, 8.1
4/12 Midterm 2 (through 3/31)  solutions  statistics  
4/14 Markov chains       
4/19 Bayesian Estimation       
4/21 Bayesian Estimation       
4/26 Classical Statistics       
4/28  Course Review for Final      
5/13 Final Exam solutions statistics