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Some models benefit from using heteroskedasticity and autocorrelation consistent covariance estimators (sandwich covariance estimators), giving model-robust standard error estimates. Could this be add…
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One question we seek to answer with our sensor network is: *What time scales are relevant to local air quality variability*
To that end, let's use this issue to track progress on methods for identi…
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Let's discuss how we can get audio sample collections down to acceptable sizes. Compatibility with the original MIDI.js file format is a minor "nice to have" concern.
### Method 1: Learn to actuall…
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These include some for custom mapping, local autocorrelation, etc.
Options include:
- Leaving as is in tutorials (easiest for us, potentially hard for learners)
- Writing geodaExtras package
-…
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Hi,
I've been using this package for a while and I have to say I am very happy with it. However, I've got a question. I've seen that the paper on NNMCM from Athey et. al, and it says that one drawb…
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Thank you for building this excellent library!
I'm using Arviz to plot quantile ESS plots in order to check convergence properties of different samplers in the tails of the target distribution. Whe…
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The ARSTAN chronology is created by applying an autoregressive model to the residual chronology to 're-redden' it, based on a calculation of a common, pooled autoregressive component in the tree-ring …
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Hello Andrew,
Can I specify no autocorrelation to avoid sampling at the same time? According to the online guide, I tried the following script but got no success.
poped_db
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Dear all,
I found the temporal plot (Fig. 4) in Iturbe et al. (2018) (https://doi.org/10.1016/j.envsoft.2018.09.009) very useful.
I would like to get a quantitative measure of how similar different…
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Autocorrelation function is calculated using
```julia
tmp = [ fft(abs2.(ifft(r))) for r in eachrow(μ)]
```
which seems to have `ifft` and `fft` the opposite way.
The resulting spectrum is c…