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### Description
Since the riemann zeta function is very interesting in the critical strip of Re(s)=1/2 I think it would be very useful to implement a very fast method to evaluate zeta on that strip. …
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In the Forest Learners Basic Example notebook, the nuisance estimators are preselected from the full X, T, and Y data before CausalForestDML, etc are fit. How does that interfere with the cross-fittin…
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Hello @b-remy and @EiffL. I would like to show you some of the results of changing the encoder and decoder depth on the log likelihood obtained. In principle, I defined 3 models with the following ch…
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This has many parts:
* a builtin type
* the usual methods
* special syntax (sigils, ...)
* what set of regexps to support
* what amount of backtracking should be allowed if at all
One can defi…
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Consider the following simple example:
```haskell
topEntity
:: Signal System (Vec 256 Bit)
-> Clock System
-> Reset System
-> Enable System
-> Signal System Bit
topEntity xs = expo…
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@article{GIANNAKOPOULOS20151249,
title = "Consistent definitions of “Flame Displacement Speed” and “Markstein Length” for premixed flame propagation",
journal = "Combustion and Flame",
volume = "16…
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For example, our current implementation of `List.map` is the naive:
```scala
pub def flatMap(f: a -> List[b] & ef, l: List[a]): List[b] & ef =
def loop(ll, acc) = match ll {
…
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For WLS `mxCompare` should show `model@output$fit` not the contents of `$Minus2LogLikelihood`
The relevant columns in mxCompare output are labels "LL" and "diffLL"
|base|comparison|ep|minus2LL…
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The way the fitting is intended to work isn't clear from the existing documentation.
At present there are two main types of analysis: `OnlineFit` and `CustomAnalysis` (inconsistent naming is a litt…
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We thank the NeuroImage for the opportunity to revise our paper, and the Handling Editor, the editorial team, and three referees for their thoughtful comments and suggestions. We have revised our manu…