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The influence of time scale on autocorrelation as an early warning indicator of regime shift

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time-series autocorrelation bifurcation early-warnings critical-slowing-down applied-ecology scale frequency sonde high-frequency

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test

something is wrong with ac

Prior on first values of Phi in DLM

Phi[i, p] ~ dnorm(0, 100) #dunif(-1.0, 1.0)

Both here and in the model with a time-varying mean, the first p values (p is AR order) of the Phi parameter have a really strong prior. I think I originally did this b/c I stopped wanting to use the uniform prior (perhaps b/c of infinite slice? more later), and when I started using the normal, I didn't want it to allow for values outside the -1,1 interval. This must have been before I discovered the truncation notation, as I use this T() notation in other parts of the model.

Whatever the reason, the main motivation behind my close and revisionist inspection of these models is that I am sometimes getting this weird 'infinite' slice error from JAGS --- it's indicating the Phi state is suddenly gaining probability of 1 or something like that. Basically, it is getting stuck.

Get back to this later.

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