Author: Perry Williams
Assistant Professor of Statistical Ecology at University of Nevada, Reno
Upcoming workshop on Bayesian Decision Theory and Model Selection at ASA – Alaska Meeting.
July 17th-19th, 2019: A two day workshop discussing Bayesian Decision Theory and Model Selection at the annual meeting of the Alaska Chapter of the American Statistical Association. Co-taught with Drs. Mevin Hooten and Trevor Hefley.
Symposium on integrated population models scheduled at TWS Annual Meeting in 2019.
A ten speaker symposium discussing applications and advances in IPMs scheduled for 1:10-5:00PM on Wednesday, October 2.
Sea otter apex predator paper out in Diversity and Distributions
Williams, PJ, MB Hooten, GG Esslinger, JN Womble, JL Bodkin, MR Bower. 2019. The rise of an apex predator following deglaciation. Diversity and Distributions. 1–14.
Sea Otter Monitoring Protocol for Glacier Bay Complete
Womble_etal_2018_SEAN SO-2017_GLBASeaOtterMonitoringProtocol
New paper accepted in Ecological Monographs
The paper A guide to Bayesian model checking for ecologists provides a review and description of methods for checking Bayesian hierarchical models.
New paper published in Ecology
Paper on optimal model-based monitoring of spatio-temporal dynamic processes in early view in Ecology (pdf).
Sea otter image featured on cover of Methods in Ecology and Evolution
Photo by Jamie Womble during one of our sea otter surveys in Glacier Bay National Park.
New Concepts & Synthesis paper accepted in Ecology on optimal dynamic monitoring
Williams, P. J., M. B. Hooten, J. N. Womble, G. G. Esslinger, and M. R. Bower. In Press. Monitoring dynamic spatio-temporal ecological processes optimally. Ecology (pdf) Abstract: Population dynamics varies in space and time. Survey designs that ignore these dynamics may be inefficient and fail to capture essential spatio-temporal variability of a process. Alternatively, dynamic survey… Continue reading New Concepts & Synthesis paper accepted in Ecology on optimal dynamic monitoring
A pre-print of “A guide to Bayesian model checking for ecologists” available online
The manuscript is currently in review at Ecological Monographs and a pre-print is available via PeerJ Preprints. Citation: Conn P, Johnson D, Williams P, Melin S, Hooten M. (2017) A guide to Bayesian model checking for ecologists. PeerJ Preprints 5:e3390v1https://doi.org/10.7287/peerj.preprints.3390v1 Abstract: Checking that models adequately represent data is an essential component of applied statistical inference.… Continue reading A pre-print of “A guide to Bayesian model checking for ecologists” available online