Madsen, Lisa

Prospective ST 412/512 students who have not had ST 411/511, click here for information .

Statistics Department
Oregon State University
Corvallis, Oregon 97331-4606

Voice: (541) 737-2028
FAX: (541) 737-3489
E-mail: madsenl at onid dot orst dot edu

Office: Kidder Hall, Room 53

Education:

University of Oregon B.S. Mathematics, Computer Science (1986)
University of Oregon M.S. Mathematics (1990)
Cornell University M.S., Ph.D. Statistics (2000, 2004)

Current Research Interests:

Spatial statistics, dependent discrete data, statistical computing, linear models, environmental statistics.

Selected Publications:

Madsen, L. (2009), Maximum Likelihood Estimation of Regression Parameters with Spatially Dependent Discrete Data, Journal of Agricultural, Biological, and Environmental Statistics, 14(4), 375–391 (pdf)

Madsen, L., Ruppert, D., and Altman, N.S. (2008), Regression with Spatially Misaligned Data, Environmetrics, 19(5), 453-467 (pdf).

Madsen, L. and Dalthorp, D. (2007), Generating Correlated Count Data, Environmental and Ecological Statistics 14(2), 129-148 (pdf).

Talks:

Maximum Likelihood for Spatially Correlated Discrete Data. Slides (pdf)
Joint Statistical Meetings, Salt Lake City, July 30, 2007.

Maximum Likelihood for Spatially Correlated Discrete Data. Slides (pdf)
Statistics Department Seminar, Oregon State University, January 29, 2007.

    Regression with Spatially Misaligned Data. Slides (pdf)
    Mathematics and Statistics Colloquium, Portland State University, November 18, 2005.

    Spatial Prediction of Coho Salmon Counts on Stream Networks, (with Dan Dalthorp). Slides (ppt)
    Statistics for Aquatic Resources, Oregon State University, September 8, 2005.

    Generating Correlated Count Data. Slides (pdf)
    Fall meeting of the Oregon Chapter of the American Statistical Association, Corvallis, Oregon, October 18, 2004.

    Regression with Spatially Misaligned Data. Slides (pdf)
    Joint meeting of the Environmetrics Society and the Spatial Accuracy Symposium, Portland, Maine, June 29, 2004.

    Simulation of spatially correlated discrete random variables, (with Dan Dalthorp). Slides (ppt)
    Graybill Conference, Fort Collins, Colorado, June 18, 2004.

Software:

Generating correlated count data (discsim2.1).

Courses:

     ST351                Introduction to Statistical Methods
     ST412/512         Methods of Data Analysis
     ST421/521         Introduction to Mathematical Statistics
     ST422/522         Introduction to Mathematical Statistics
     ST553                Statistical Methods
     ST541                Probability, Computing, and Simulation in Statistics

    Click on the course for the most recent syllabus.