Combining fishery-dependent and -independent CPUE data

Spatially varying catchability for fishery-dependent CPUE standardization.

Preferential sampling in fishery-dependent catch and effort data

Accounting for preferential sampling in spatial models of catch and effort data

Nonstationary spatial processes for fisheries

Incorporating nonstationary spatial processes by allowing for spatially varying covariance parameters.

Best practices for fitting non-linear Bayesian state-space models

Eliminating HMC divergences when fitting Bayesian state-space models for fish populations.

Recent & Upcoming Talks

A discussion of Bayesian spatio-temporal modelling of anchovy abundance through the SPDE approach by Quiroz and Prates for the Winter …

Bayesian state space models have played an important role in fisheries for many years. These models are typically fit using Markov …

A discussion of Chapter 1 in Advanced Spatial Modeling with SPDEs using R and INLA for the Autumn 2018 Space-time reading group at the …

Many fish species occur in areas with complicated geography. Natural barriers such as islands and coastlines mean that the spatial …

Sustainable fisheries management requires the best stock assessments available in order to determine the current state of a stock and …


University of Washington School of Professional & Continuing Education

Course Assistant, 2016–present

Certificate in Statistical Analysis with R Programming