Description: Description: http://www.boisestate.edu/media/graphics/logo125v.gif

 

Jaechoul Lee

Associate Professor

 

 

 

Department of Mathematics

Boise State University

Boise, ID 83725-1555

U.S.A.

 

Office: MG 222B

Phone: (208) 426-5630

Fax: (208) 426-1356

E-mail: jaechlee at math.boisestate.edu

 


Education

 


Research Interests

  • Time series (with applications to climatology and finance), Extreme value modeling, Randomized response models.

 


Publications

  • Refereed Publications:

1.      Lee, J. and Lund, R. B. (2010). Why do OLS methods work so well in time series regressions? Submitted.

2.      Lee, J. and Ko, K. (2009). First-order bias correction for fractionally integrated time series. The Canadian Journal of Statistics, 37, 476-493.

3.      Lee, J. (2009). A reformulation of weighted least squares estimators. The American Statistician, 63, 49-55.

4.      Ko, K., Lee, J., and Lund, R. B. (2008). Confidence intervals for long memory regressions. Statistics & Probability Letters, 78, 1894-1902.

5.      Lee, J. and Lund, R. B. (2008). Equivalent sample sizes in time series regressions. Journal of Statistical Computation and Simulation, 78, 285-297.

6.      Hearon, K., Lee, J., and Marich, K. (2008). Comparison of 3D digital contact casting versus manual foam casting of the feet for the design and fabrication of custom foot orthoses. Journal of Vertebral Subluxation Research, 10(1), 1-5.

7.      Lee, J. and Ko, K. (2007). One-way analysis of variance with long memory errors and its application to stock return data. Applied Stochastic Models in Business and Industry, 23, 493-502.

8.      Lee, J. and Lund, R. B. (2004). Revisiting simple linear regression with autocorrelated errors. Biometrika, 91, 240-245.

9.      Park, Y. S. and Lee, J. (1996). A mixed randomized response technique. Journal of the Korean Statistical Society, 25, 39-48.

 


Teaching

  • Spring 2010:

1.      MATH 254 Applied Statistics with Computers

2.      MATH 360 Engineering Statistics

  • Fall 2009:

1.      MATH 254 Applied Statistics with Computers

2.      MATH 573 Time Series Analysis

  • Spring 2009:

1.      MATH 254 Applied Statistics with Computers

2.      MATH 361 Probability & Statistics I

  • Fall 2008:

1.      MATH 361 Probability & Statistics I

2.      MATH 572 Computational Statistics

 


Links