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How do we detect the trend in abundance if it's driven by trends in the climate covariates and we have the climate covariates in the model to describe the interannual population fluctuations? There mu…
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Support to schedule node based on placement group strategies. As example when you launch a new EC2 instance, the EC2 service attempts to place the instance in such a wa…
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Imputed values look totally smoothed out for a lot of algorithms and because of that those values do not respect the statistic of the rest of the signal.
This will for example influence standard d…
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It would be _awesome_ if along with the posterior on the magnitude of the measurement, this procedure also delivered an estimate of the covariance between data points, even something simple. For examp…
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##### Description
K2 has observed over 40,000 galaxies anticipating ~50-100 Supernova outbursts. Instrumental artifacts arising from spacecraft motion have hindered the unambiguous census of trans…
gully updated
6 years ago
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Implement a method of summarizing the variation inside of a graph.
* Drop out small, uncorrelated variation as noise while preserving correlated variation and building them into haplotype blocks.
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I think it would be useful to have documentation on how to use a single noise realization multiple times, as described [here](https://discourse.julialang.org/t/solving-stochastic-differential-equation…
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**Is your feature request related to a problem? Please describe.**
Currently, the correlation calculation is done so that the number of configurations it averages over is different for different time…
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In the CURUC recipes we need to estimate correlation matrices with associated uncertainties. Previously I added the "filter wheel" correlations (spatially and spectrally) to the fully random effect, …
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The goal of this analysis is to determine which settings best denoise multi-echo data. We'll need good metrics of this performance, which we can probably take from other papers. Broadly, each of these…
tsalo updated
4 years ago