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Newick Tree File for Fig. S1, BI with FigTree Annotations
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2016-01-01
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fig 4 from A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models
The behaviour of many processes in science and engineering can be accurately described by dynamical system models consisting of a set of ordinary differential equations (ODEs). Often these models have
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Data from: Bayesian inference of selection in a heterogeneous environment from genetic time-series data
Evolutionary geneticists have sought to characterize the causes and molecular targets of selection in natural populations for many years. Although this research program has been somewhat successful, m
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Fast and Flexible Bayesian Inference in Time-varying Parameter Regression Models
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Supplementary data from Sampaio Mayer et al.
mcc contains the Maximum Clade Credibility tree, while posterior_sample contains the 100 random trees from the posterior sample.
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Efficient Bayesian Inference for Nonlinear State Space Models With Univariate Autoregressive State Equation
Latent autoregressive processes are a popular choice to model time varying parameters. These models can be formulated as nonlinear state space models for which inference is not straightforward due to
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