Scharf, H. R. (In review). Statistical analysis of animal movement: Understanding behavior through hierarchical parametric models.

Scharf, H. R. A. M. Raiho, S. Pugh, C. A. Roland, D. K. Swanson, S. E. Stehn, M .B Hooten (In review). Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity.

Reimer, J. R., J. Arroyo-Esquivel, J. Jiang, H. R. Scharf, E. M. Wolkovich, K. Zhu, C. Boettiger (In review). Long transient dynamics in the presence of noise.

Scharf, H. R., X. Lu, P. J. Williams, M. B. Hooten (In review). Hierarchical approaches for flexible and interpretable binary regression models.

Scharf, H. R., F. Buderman (2020). Animal movement models for multiple individuals. Wiley Interdisciplinary Reviews: Computational Statistics, e1506.

Scharf, H. R., M. B. Hooten, R. R. Wilson, G. M. Durner, T. C. Atwood (2019). Biometrics, 75: 810–820. Accounting for phenology in the analysis of animal movement.

Hooten, M. B, H. R. Scharf, J. M. Morales (2019). Running on empty: Recharge dynamics from animal movement data. Ecology Letters, 22, 377–389.

Hooten, M. B., H. R. Scharf, T. J. Hefley, A. T. Pearse, M. D. Weegman (2018). Animal movement models for migratory individuals and groups. Methods in Ecology and Evolution, 9, 1692–1705.

Scharf, H. R., M. B. Hooten, D. S. Johnson, J. W. Durban (2018). Process convolution approaches for modeling interacting trajectories. Environmetrics, e2487.

Scharf, H. R., M. B. Hooten, D. S. Johnson (2017). Imputation approaches for animal movement modeling. Journal of Agricultural, Biological and Environmental Statistics, 22(3), 335–352.

Hefley, T. J., K. M. Broms, B. M. Brost, F. E. Buderman, S. L. Kay, H. R. Scharf, J. R. Tipton, P. J. Williams, and M. B. Hooten. (2017). The basis function approach to modeling autocorrelation in ecological data. Ecology, 98(3), 632–646. Associated Shiny Web Application.

Scharf, H. R., M. B. Hooten, B. K. Fosdick, D. S. Johnson, J. M. London, and J. W. Durban. (2016). Dynamic social networks based on movement. Annals of Applied Statistics, 10(4), 2182–2202.



Scharf, H. R. (2020). anipaths: Animation of observed trajectories using spline-based interpolation. R package version 0.9.8.

2021
2020
2019
2018
2015
2013


I am an assistant professor in the Department of Mathematics & Statistics at San Diego State University. In addition to a PhD in statistics from CSU, I have a BS in Math and Physics, as well as a Masters in Education from the University of Arizona. My primary research interests are in theoretical and methodological contributions to the study of stochastic processes and networks, especially for applications in ecology. I also work on developing new computational tools that provide approximate statistical inferential procedures for large data sets.

Movement of polar bears in the Chukchi and Beaufort seas.

Scharf, H. R., M. B. Hooten, R. R. Wilson, G. M. Durner, T. C. Atwood (In press). Biometrics. Accounting for phenology in the analysis of animal movement.

Movement of killer whales near the Antarctic peninsula.

Scharf, H. R., M. B. Hooten, B. K. Fosdick, D. S. Johnson, J. M. London, and J. W. Durban. (2016). Dynamic social networks based on movement. Annals of Applied Statistics. 10(4), 2182--2202.

Movement of Greenland White Fronted Geese on the east coast of Ireland.

Hooten, M. B., H. R. Scharf, T. J. Hefley, A. T. Pearse, M. D. Weegman (2018). Animal movement models for migratory individuals and groups. Methods in Ecology and Evolution. 9, 1692?1705.

If you would like to work with me, please send me an email with a brief description of your research interests. We'll set up a meeting to chat.


Copyright Henry Scharf | Last updated September 19, 2020