Education:

Current Research Interests:

Recent Publications:

Madsen, Lisa and Royle, J. Andrew (2023) A review of N‐mixture models, Wiley Interdisciplinary Reviews: Computational Statistics: e1625. https://doi.org/10.1002/wics.1625.

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., 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.M.P., 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.

All publications

Recent Presentations:

N-Mixture Models with Application to Disease Surveillance (Slides). Invited statistics colloquium at Portland State University, April 8, 2022.

Spatial Modeling of Zero-Inflated Data with Copula Models (Slides). Invited presentation at WNAR, June 15, 2021.

N-Mixture Models with Application to Disease Surveillance (Slides). Invited statistics colloquium at Penn State, August 27, 2020.

Estimating Binomial Index N with Application to Bird and Bat Mortality at Wind and Solar Power Facilities (Slides). Invited talk at the 28th annual conference of The International Environmetrics Society, CIMAT, Guanajuato, Mexico, July 19, 2018.

Modeling Searcher Efficiency (Slides). Presentation at workshop "Estimating Wildlife Fatality at Wind Facilities Using a Generalized Estimator" at the Conference on Wind Energy and Wildlife Impacts, Estoril, Portugal, September 5, 2017.

Simulating Dependent Count Data (Slides). Invited talk at the International Conference on Statistical Distributions and Applications, Niagara Falls, Canada, October 16, 2016.

All presentations

Courses:

  • ST 201 Principles of Statistics
  • ST 351 Introduction to Statistical Methods
  • ST 411/511 Methods of Data Analysis
  • ST 412/512 Methods of Data Analysis
  • ST 415/515 Design and Analysis of Planned Experiments
  • ST 517 Data Analytics I
  • ST 421/521 Introduction to Mathematical Statistics
  • ST 422/522 Introduction to Mathematical Statistics
  • ST 431/531 Sampling Methods
  • ST 441/541 Probability, Computing, and Simulation in Statistics
  • ST 553 Statistical Methods

Request copies of syllabi from the Department of Statistics office.