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Lisa Madsen

Department of Statistics

Lisa Madsen

Department of Statistics


Research Interests

  • Dependent Discrete Data
  • Abundance and Occupancy Models
  • Spatial Statistics
  • Statistical Computing and Simulation
  • Ecological and Environmental Statistics


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

College strategic research areas

Data Science


  • Madsen, L., & Royle, J. A. (2023) A review of N‐mixture models. Wiley Interdisciplinary Reviews: Computational Statistics, e1625.
  • Dumelle, M., Higham, 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, 13(9), 2018-2029.
  • Brintz, Ben J., Madsen, L., and Fuentes, C. (2021) A spatially explicit N-mixture model for the estimation of disease prevalence, Statistical Modelling, 23(1), 31-52.
  • 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
  • Higham, M., Ver Hoef, J., Madsen, L., and Aderman, A. (2020) Adjusting a Finite Population Block Kriging Estimator for Imperfect Detection, Environmetrics
  • Madsen, L., Dalthorp, D., Huso, M., and Aderman, A. (2020). Estimating Population Size with Imperfect Detection Using a Parametric Bootstrap, Environmetrics
  • Brintz, B., Fuentes, C., and Madsen, L. (2018). An Asymptotic Approximation to the N-mixture Model for the Estimation of Disease Prevalence, Biometrics
  • 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.
  • Huso, M.M.P., Dalthorp, D., Dail D., and Madsen, L. (2015). Estimating turbine-caused bird and bat fatality when zero carcasses are observed, Ecological Applications 25(5), 1213-1225
  • 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.
  • Fang, Y. and Madsen, L. (2013) Modifed Gaussian pseudo-copula: Applications in insurance and finance, Insurance: Mathematics and Economics 53, 292-301
  • Dail, D. and Madsen, L. (2013) Estimating open population site occupancy from presence-absence data lacking the robust design, Biometrics 69(1), 146-156
  • Madsen, L. and Birkes, D. (2013) Simulating dependent discrete data, Journal of Statistical Computation and Simulation 83(4), 677-691.
  • Groom, J., Dent, L., Madsen, L., and Fleuret, J. (2011) Response of western Oregon (USA) stream temperatures to contemporary forest management, Forest Ecology and Management 262(8), 1618-1629
  • Madsen, L. and Fang, Y. (2011) Joint Regression Analysis for Discrete Longitudinal Data, Biometrics 67(3), 1171-1175
  • Dail, D. and Madsen, L. (2011) Models for Estimating Abundance from Repeated Counts of an Open Metapopulation, Biometrics 67(2), 577-587
  • Eskelson, Bianca N.I., Madsen, L., Hagar, J., and Temesgen, H. (2011) Estimating riparian understory vegetation cover with beta regression and copula models, Forest Science 57(3), 212-221
  • Groom, J., Dent, L., and Madsen, L. (2011) Stream temperature change detection for state and private forests in the Oregon Coast Range, Water Resources Research 47(1)
  • 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.
  • Madsen, L., Ruppert, D., and Altman, N.S. (2008), Regression with Spatially Misaligned Data, Environmetrics 19(5), 453-467
  • Madsen, L. and Dalthorp, D. (2007), Simulating Correlated Count Data, Environmental and Ecological Statistics 14(2), 129-148.