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as discussed in https://github.com/adsr/mle/issues/75
adsr updated
9 months ago
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related to robust regression, e.g. #3315 , https://github.com/statsmodels/statsmodels/issues/8690#issuecomment-1913715516
problem is imposing fisher consistency.
one possibility would be to have…
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안녕하세요 책을 보다가 오타인건지 아니면 제가 모르는게 있는건지 헷갈려서 질문 드립니다.
theta_hat_MLE = argmax Sum(log f (x_i | theta))라는 식에서
theta_hat_MLE = argmax * 1/ n Sum (log f (x_i | theta)라고 변형할 수 있다고 했는데,
똑같은 식에서 어떻게 1/…
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I was wondering if it is possible to do MLE when the likelihood function is a vector, not a scalar, and if so, how to modify our regular crit, or log_lik functions to incorporate a vector. Will scipy…
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Currently, `method_bayes()` only runs a single Markov chain. Among other things, this limits the diagnostics that can performed.
It would be great if the number of Markov chains to be run can be…
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Rerun CEATTLE with the 2024 assessment model data. See [inst/extdata/ss3](https://github.com/pacific-hake/m2/tree/main/inst/extdata/ss3) for model files.
Current results are with the 2020 assessme…
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Currently, the function is written to enforce structural zeros necessitated by the model. We need to change startM to also include structural zeros inputted by the user.
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In the notebook MLest, we use
`vcv_mle = results.hess_inv * OffDiagNeg`
to obtain the VCV. However, `results.hess_inv` is not a _ndarray_ but a _scipy.optimize.LbfgsInvHessProduct_ object, which wi…
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I'm not sure what the evolving best practice is here. These (randomized quantal residuals with the Laplace approximation) and DHARMa residuals with the Laplace approximation can definitely look off ev…