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Hello,
We are migrating a Wordpress to Cloud Run, so the stateless mode is mandatory for us. Trying your plugin I have decided to use the Ephemeral mode which is supposed to be the most compatible …
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### What problem are you trying to solve?
*What is my program busy doing right now?* For synchronous applications, this question can be answered by capturing stack traces from the running program. Fo…
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what do you mean by Use multivariate analysis to understand the relationship between my two datasets ?
Do you mean a granger causality analysis ?
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Found another method to construct causal graphs here: https://pure.mpg.de/rest/items/item_3384208/component/file_3384211/content
![image](https://github.com/JuliaDynamics/CausalityTools.jl/assets/…
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Multivariate analyses usually work with trials/repetitions. Can you add support for Granger causality `X` and `Y` being either vector (single trial of length `n_time_points`) or matrix of shape `n_tri…
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There is an issue on chapter 14, in the following paragraph
[paragraph here]
Another less obvious case when fixed effect fails is when you have reversed causality. For instance, let’s say that it is…
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Hi, Vinícius Lima, your code (pyGC)runs very fast. May I ask which literature you refer to for the principle of grander causality implemented in your code? Can you share it?
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Hi,When I understand the " Granger causality" project, I try to run your project. Can you tell me the data source? Thank you very much
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As highlighted in #255, the current synthetic control model is restricted to interpolation. That is, when the synthetic control is modelled as a weighted sum of untreated units, and that weighting sum…
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Adriane:
> Passive prediction doesn't care about "why", right? Whether you understand why a patient is likely to get cancer or not is irrelevant to your task. With enough data, you can put anyth…