16:00, February 28, Kennedy Seminar Room 2
Abstract: N-mixture models are a class of hierarchical models that are commonly used to estimate the absolute abundance of a species based on survey sampling. This talk will introduce well known N-mixture models as well as newly developed N-mixture models. We then move on to discuss an analysis of real count data using these N-mixture models. Finally, we will discuss the identifiability of N-mixture models based on Wantanable-Akaike-information criterion (WAIC) along with a test for detection probability identifiability.