Current Research Interests:

Dependent discrete data, abundance and occupancy models, spatial statistics, statistical computing and simulation, ecological and environmental statistics.


Brintz, B., Fuentes, C., and Madsen, L. (2018). An Asymptotic Approximation to the N-mixture Model for the Estimation of Disease Prevalence, Biometrics

Groom, J.D., Madsen, L.J, Jones, J.E., and Giovanini, J.N. (2018). Informing changes to riparian forestry rules with a Bayesian hierarchical model, Forest Ecology and Management 419, 17-30.

Ossiander, M., Peszynska, M., Madsen, L. et al. (2016). Estimation and simulation for geospatial porosity and permeability data, Environmental and Ecological Statistics doi:10.1007/s10651-016-0362-y

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 (example R code).

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,.

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 W01501, doi:10.1029/2009WR009061.

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 (correction)

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


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

Modeling Searcher Effciency Slides (pdf)
Invited talk at "Estimating wildlife fatality at wind facilities using a generalized estimator" workshop at the Conference on Wind Energy and Wildlife Impacts, Estoril, Portugal, September 5, 2017.

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

Simulating Realistic Spatial Count Data Slides (pdf)
Invited talk at the ENVR/Graybill conference, Colorado State University, September 9, 2014.

Simulating Dependent Discrete Data Slides (pdf)
Invited seminar at Portland State University, January 17 2014.

Simulating Realistic Ecological Count Data. Slides (pdf)
Statistics Department Seminar, Oregon State University, May 2, 2011

Modeling Spatially Dependent Discrete Data Slides (pdf)
WNAR/IMS Annual Meeting, Seattle, June 23, 2010

Estimation of Regression Parameters For Spatially Dependent Discrete Data Slides (pdf)
Statistics Department Seminar, Oregon State University, November 17, 2008.

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