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2. Age structure augments the predictive power of time series for fisheries and conservation.
3. Integrating trawl and longline surveys across British Columbia improves groundfish distribution predictions.
4. Improving forecasts of sockeye salmon (Oncorhynchus nerka) with parametric and nonparametric models.
5. Forecasting the distribution of the invasive round goby (Neogobius melanostomus) in Wisconsin tributaries to Lake Michigan.
6. Incorporating environmental variability in stock assessment: predicting recruitment, spawner biomass, and landings of sprat (Sprattus sprattus) in the Baltic Sea.
7. An improved method for predicting the accuracy of genetic stock identification.
8. A state–space mixture approach for estimating catastrophic events in time series data.
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