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focus on mle and survival analysis
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_statsmodels.mixedlm_ generates different results under Python 2.7 and Python 3.4. Moreover, in Python 3.4, the model does not converge when _re_formula_ is used with variable slope.
Here is a simp…
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If $\xi$ is initialized at 0, and the function `fit_mle()` (that uses gradient) is used to estimate the parameters, then $\xi$ will stay equal to $0$.
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We already have part of this functionality in PreliZ, but we could expose it to the user and make it nicer for users
The steps should be:
1) Read a model, and extract variable names and their fa…
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I'm starting to like `statsmodels.causal` as umbrella folder for anything related to some kind of endogeneity of regressors, both traditional methods and Rubin tradition of ATE.
current
- `treat…
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記憶體使用量限制開太低，會將 MLE 誤判成 RE
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I'm currently using MQTT client (implemented in Rust) to push data through to server. We're using cloud solutions as MQTT server which works fine, however I'm looking for a light weight option for use…
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Hi Jean,
How can I calculate the effect size or LogFC. Can "mle" represent effect size?
Regards,
Poorya
ghost updated
6 years ago
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- Log-normal distribution
- Weibull (would require implementation of numerical solution for profile mle see #41 )
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In the derivation of T, why can the term with the determinant of the covariance matrix in the MLE be neglected?