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Challenges and opportunities in synthesizing historical geospatial data using statistical models., , , , , , and . Ecol. Informatics, (2016)Fitting Population Models Incorporating Process Noise and Observation Error, and . Ecological Monographs, 72 (1): 57--76 (February 2002)Strategies for fitting nonlinear ecological models in R, AD Model Builder, and BUGS, , , , , , , , , and 12 other author(s). Methods in Ecology and Evolution, (February 2013)Statistical ecology comes of age, , , , , , , , , and 14 other author(s). Biology Letters, 10 (12): 20140698 (December 2014)Fitting complex population models by combining particle filters with Markov chain Monte Carlo, and . Ecology, 93 (2): 256--263 (2011)BETTER INFERENCES FROM POPULATION-DYNAMICS EXPERIMENTS USING MONTE CARLO STATE-SPACE LIKELIHOOD METHODS. Ecology, 84 (11): 3064--3077 (November 2003)Monte Carlo State-Space Likelihoods by Weighted Posterior Kernel Density Estimation. Journal of the American Statistical Association, 99 (466): 523--536 (2004)Estimating and forecasting spatial population dynamics of apex predators using transnational genetic monitoring, , , , , , , , , and 5 other author(s). Proceedings of the National Academy of Sciences, 117 (48): 30531-30538 (2020)