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### Description
exact logistics regression is a powerful alternative to the usual "unconditional" logistic regression when the number of events is small compared to number of covariates
### Purpose
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Hi
In the question below the sum to be calculated requires that 99.7% be expressed as .997. It is not clear that there is anything in the flow of the lesson that makes it obvious that this is the cas…
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More of a feature request - do you think it might be possible to implement any form of statistical inference in `abess`? E.g. provide confidence intervals on coefficients via bootstrapping? Or repeate…
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Description:
The goal of this issue is to create a foundation for developing a cybernetic organism or open game using physics-informed syntax. To begin, we need to implement a basic active inference …
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Hi,
In the [searchlight example](https://nilearn.github.io/auto_examples/02_decoding/plot_haxby_searchlight.html#sphx-glr-auto-examples-02-decoding-plot-haxby-searchlight-py), there is code for vis…
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Hi everyone, Hey Chris,
The HGF manual mentions that we can use tapas_bayesian_parameter_average() function to compare parameter averages across groups of subjects. I really appreciate that the fun…
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[Learning Stable Linear Dynamical Systems](https://www.ml.cmu.edu/research/dap-papers/dap_boots.pdf)
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**Question:**
We are looking to include predictive associations in a knowledge graph using the BioLink model. Are there currently qualifiers to specify `is_predicted` with a boolean value and/or `pre…
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SHARKFin has several implementations of a financial market, and may have more in the future.
While the macro-agents do not currently have rational expectations of the market, they could potentially…
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**Description**
I used the latest image version 24.06 because the corresponding latest version of trt has support for BF16. But when I deploy the model with trt-backend. I used perf_analyze to pressu…