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Basically, what I want to achieve is a logit transformed outcome for example, but I want to allow covariates to have different effects, and hence shift the mean for each of the entries of the matrix.
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First of all, thank you for this wonderful resource!
I am confused by the Stata event study code, and think it might not be totally correct. For reference, here it is
```
use "https://raw.githu…
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As title show
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Comments on the presentation
- Bring the RQ upfront to the first slide
Comments on the research project
- Neal: 5 papers in 1. Cut it down to a simple story with one outcome (or similar ones), as…
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It would be useful to implement, as a prediction method, the Multisplit Conformal one by Solari & Djordjilović (https://arxiv.org/pdf/2103.00627.pdf)
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The ATT parameter targets both the A node and Y node. However (in the spec), the likelihood factor for "A" is of type "likelihood" while the likelihood factor for "Y" is of type "mean". As a result, w…
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We had some batch normalization issues in the Segnet architecture. We hope to get some thoughts on this. The BN issues we are facing are summarized and can be reached at:
http://tier2.ihepa.ufl.edu…
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Thanks for sharing your work. Did you try fine-tuning on relevant species after pre-training on XCL?
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**Describe the bug**
I was testing abess on the multitask learning problem below (deconvolution of a multichannel signal using a known point spread function / blur kernel by regressing the multichann…
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Hey guys. Apologies for being AWOL. I'm back to working on this with some updated data and covariates. The data are complete through 2017 but lack age structure information from scale aging for 2018…