Category Archives: Uncategorized
Yesterday my paper with Danielle Bridger and Mark Briffa got coverage in Discover Magazine. I have to admit that it was Danielle and Mark who “peeked inside the crabs’ gonads”. I just helped out with the statistics.
As part of our lab meetings we discuss recent articles of interest. These articles are generally in ecological statistics, though they may be in fields relating to our projects (e.g., Bayesian inference). My students asked how to find articles, and … Continue reading
I have been working on simulating data from Bob Dorazio’s version of the Royle N-mixture model for repeated count data. This version of the model assumes that the abundance at site is generated from a Hurdle model such that and … Continue reading
The Charleston Gazette: Mountaintop removal: The scientific evidence of environmental and health damage continues
Brenee Muncy’s work also got mention in an article by Keith Ward Jr. published on the Charleston Gazette’s blog on October 23.
On October 31 Richard Conniff covered Brenee Muncy’s salamander work in an article published on Takepart — “a digital news & lifestyle magazine and social action platform for the conscious consumer”.
On October 27, Ben Augustine presented his work on mark-recapture models with behavioral effects and subsampling at the 2014 Annual Conference of The Wildlife Society in Pittsburgh, PA. This work has also been accepted for publication in Methods in Ecology … Continue reading
Accounting for Behavioral Response to Capture when Estimating Population Size from Hair Snare Studies with Missing Data
Ben Augustine’s paper on behavioral effects and subsampling has been accepted for publication in Methods in Ecology and Evolution and is now available online. The work is particularly applicable to studies which use hair snares to capture animals. Snares are … Continue reading
We continued our discussion of prior distributions for mark-recapture models including covariates in lab today by looking at the paper A Weakly Informative Default Prior Distribution for Logistic and Other Regression Models published by Andrew Gelman et al in the … Continue reading