Statistics Department

Education

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

Research Interests

• Dependent discrete data
• Abundance and occupancy models
• Spatial statistics
• Statistical computing and simulation
• Ecological and environmental statistics

Selected Publications [for a full list, see link at personal webpage]

• Higham, M., Ver Hoef, J., Madsen, L., and Aderman, A. (2020) Adjusting a Finite Population Block Kriging Estimator for Imperfect Detection, Environmetrics  https://doi.org/10.1002/env.2654.
• Madsen, L., Dalthorp, D., Huso, M., and Aderman, A. (2020). Estimating Population Size with Imperfect Detection Using a Parametric Bootstrap, Environmetrics  https://doi.org/10.1002/env.2603
  
• Brintz, B., Fuentes, C., and Madsen, L. (2018). An Asymptotic Approximation to the N-mixture Model for the Estimation of Disease Prevalence, Biometrics https://doi.org/10.1111/biom.12913
• Ossiander, M., Peszynska, M., Madsen, L. et al. (2017), “Estimation and simulation for geospatial porosity and permeability data,” Environmental and Ecological Statistics, 24(1), 109-130.
• Fang, Y., Madsen, L., and Liu, L. (2014), “Comparison of Two Methods to Check Copula Fitting,” International Journal of Applied Mathematics, 44(1), 53-61.

 Instructional and Departmental Activities [contact the statoff [at] science.oregonstate.edu (department office) for syllabi]

• ST 411/511   Methods of Data Analysis I
• ST 412/512   Methods of Data Analysis II
• ST 415/515   Design and Analysis of Planned Experiments
• ST 431/531   Sampling Methods
• ST 441/541   Probability, Computing, and Simulation in Statistics
• ST 517           Data Analytics I
• ST 553           Statistical Methods III

 Professional Societies

• American Statistical Association (ASA)
• The International Environmetrics Society (TIES)