STAT 720
      Time Series Analysis
 
 








   

Lecture Notes*


Class
Day
Date BD**
Topic
Homework
Lecture  Notes    
Suggested Readings   
1
Tue
 Jan. 16
 
Introduction



2
Thu
 Jan. 18
Ch.1
Introduction to TS



3 Tue
 Jan. 23
Ch.1  
Stationary models, trend and seasonal component


4
Thu
 Jan. 25
Ch.1
Stationarity, ACF



5
Tue
 Jan. 30
Ch.1
Trend, smoothing



6
Thu
 Feb. 1
Ch 1, Notes Testing for randomness.
Volume indexes. Rate of growth.



7
Tue
 Feb. 6
Ch. 2
Stationary processes: Forecasting.


8
Thu
 Feb. 8
Ch. 2
Stationary processes. Cont'd.


9
Tue
 Feb. 13
Ch. 3 ARMA Models, HW1 solutions


10
Thu
 Feb. 15
Ch. 3 ARMA Models: ACF, PACF



11
Tue
 Feb. 20
Ch. 3 & 4
ARMA models, Spectral Analysis



12
Thu
 Feb. 22
Ch. 4
Spectral Analysis, HW2 solutions


13
Tue
 Feb. 27

Exam 1



14
Thu
 Mar. 1

Exam 1 Solutions



15
Tue
 Mar. 6
Ch. 4
Spectral Analysis. Periodogram.



16 Thu
 Mar. 8
Ch. 5
Modeling and Forecasting with ARMA






SPRING BREAK



17
Tue
 Mar. 20
Ch. 5
Modeling and Forecasting with ARMA.
Project directions.



18
Thu
 Mar. 22
Ch.6
ARIMA & SARIMA.



19
Tue
 Mar. 27
Ch.6
Unit roots.


20
Thu
 Mar. 29
Ch. 7
Multivariate TS. VAR and VEC models. Cointegration. Granger causality.


21 Tue  Apr. 3
Ch.9 Forecasting techniques, ARAR, Holt-Winters.
M3 Competition.



22
Thu
Apr. 5
Part of Ch.10: Section 10.3.5 ARCH and GARCH models.



23
Tue
Apr. 10
Ch. 4,5,6,7 Review.



24
Thu
Apr. 12

 Exam 2



25
Tue
Apr. 17
Parts of Ch.8 &  Ch.10
Transfer function models.
Intervention analysis.
State-Space models.
Markov regime-switching model.



26
Thu
Apr. 19

Return Exam 2


27
Tue
Apr. 24
Guest lecture
Dr. John Grego



28
Thu
Apr. 26
Review
Project due by 4:00pm




Thu
May 3
5:30 pm
Final exam due via e-mail.




* The instructor reserves the right to change the topics and/or the order.
** BD: Brockwell and Davis, Introduction to Time Series and Forecasting, 2nd edition, 2002.



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