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

ST351 Introduction to Statistical Methods

ST411/511 Methods of Data Analysis

ST412/512 Methods of Data Analysis

ST415/515 Design and Analysis of Planned Experiments

ST517 Data Analytics I

ST421/521 Introduction to Mathematical Statistics

ST422/522 Introduction to Mathematical Statistics

ST431/531 Sampling Methods

ST441/541 Probability, Computing, and Simulation in Statistics

ST553 Statistical Methods

Request copies of syllabi from the Statistics departmental office.