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(1) Hierarchical models in genetics, (2) Stan model with 400,000 parameters, (3) Scalable inference for biome problems, (4) "In the end, I basically gave up working on biology because of the politics"
As you are probably aware, the main role of this newsletter is to encourage you to read the blog every day. To this end, I’m sharing a recent post that elicited a comment from Bob that was so detailed I thought it deserved its own post.
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(1) Hierarchical models in genetics, (2) Stan model with 400,000 parameters, (3) Scalable inference for biome problems, (4) "In the end, I basically gave up working on biology because of the politics"
As you are probably aware, the main role of this newsletter is to encourage you to read the blog every day. To this end, I’m sharing a recent post that elicited a comment from Bob that was so detailed I thought it deserved its own post.
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(1) Hierarchical models in genetics, (2) Stan model with 400,000 parameters, (3) Scalable inference for biome problems, (4) "In the end, I basically gave up working on biology because of the politics"
As you are probably aware, the main role of this newsletter is to encourage you to read the blog every day. To this end, I’m sharing a recent post that elicited a comment from Bob that was so detailed I thought it deserved its own post.
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15- https://pmc.ncbi.nlm.nih.gov/articles/PMC4280593
- https://statmodeling.stat.columbia.edu/2025/07/30/using-hierarchical-modeling-to-get-more-stable-rankings-of-gene-expression
- https://statmodeling.stat.columbia.edu/2025/07/30/using-hierarchical-modeling-to-get-more-stable-rankings-of-gene-expression/#comment-2401534
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