sequential Monte Carlo

State-space models for ecological time-series data: Practical model-fitting
State-space models are an increasingly common and important tool in the quantitative ecologists’ armoury, particularly for the analysis …
Ken Newman, Ruth King, Víctor Elvira, Perry de Valpine, Rachel S. McCrea, Byron J. T. Morgan
Last updated on Jun 9, 2022
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An approximate Bayesian computation approach to parameter estimation in a stochastic stage-structured population model
Complex population processes may require equally complex models, which can lead to analytically intractable estimation problems. …
Katherine Scranton, Jonas Knape, Perry de Valpine
Last updated on Jun 8, 2022
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