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]
- Dumelle, M., Migham, M., Ver Hoef, J.M., Olsen, A.R., and Madsen, L. (2022) A comparison of design-based and model-based approaches for finite population spatial sampling and inference, Methods in Ecology and Evolution https://doi.org/10.1111/2041-210X.13919
- Brintz, Ben J., Madsen, L., and Fuentes, C. (2021) A spatially explicit N-mixture model for the estimation of disease prevalence, Statistical Modelling https://journals.sagepub.com/doi/10.1177/1471082X211020872
- Maurer, J.D., Huso, M., Dalthorp, D., Madsen, L., and Fuentes, C. (2020) Comparing methods to estimate the proportion of turbine-induced bird and bat mortality in the search area under a road and pad search protocol, Environmental and Ecological Statistics https://doi.org/10.1007/s10651-020-00466-0
- 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
Instructional and Departmental Activities [contact the department office for syllabi]
- ST 411/511 Methods of Data Analysis I (FAQ for prospective students)
- 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)