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There are a number of important molecular and scientific models that I would love to see implementations for in DeepChem. Implementations of any of these models would be a great contribution to DeepCh…
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We need a solution to store derived parameters from retrievals, model fitting, etc. Do we want a separate database (or databases) which shares the sources table with SIMPLE but focuses on derived/mode…
kelle updated
2 years ago
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To reproduce the result:
```
import tensorflow_probability as tfp
tfd = tfp.distributions
# Zero inflated log-normal
ziln = tfd.Mixture(
cat=tfd.Categorical(probs=[0.9, 0.1]),
component…
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## Description of the issue
We have in oeo-model a lot of individuals without definition (sorted by types):
- analytical approach #1147
- boolean variable #1148
- data format and file format #…
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Author: **Kathryn Ireland**
Topics: Fish populations
## Summary
Through discussions with LGL Ecological Research Associates, I have become interested in how synthesis research could contribute to…
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### Description
Sometimes it's advantageous to fit a model to observations using non-linear reparameterizations of the fitting parameters. For example, blackbody models have a `scale` parameter whi…
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How do we get prediction and similar for models with transformed endog?
example `log(y) ~ ...` estimated with OLS
related to issue #1449 #1480
also related: use Poisson instead, several articles a…
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La idea de este issue es que dejemos un enlace, nota, imagen, comentario, etc. a recursos que nos encontramos por ahi y pensamos que pueden ser utiles para desarrollar este curso.
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I'm creating this issue as a place to discuss supporting non-Gaussian likelihoods.
There's been a fair amount of discussion on this for Poisson / Negative Binomial likelihoods (#337). This comes up…
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I posted a discussion on this topic to the OSATE google group, link below. From the standards committee perspective, the request is to clarify use of the AADL ARINC 653 Annex with multi-cores. There…