-
(this is triggered by some readings on dispersion estimation as followup to Tweedie #2858 #2872)
the question is how do we estimate dispersion parameters or data (exog not mean) varying variance func…
-
I am a student in the third year of a bachelor's degree. As part of a study I use the lcmm model, but the qq-plot graph of the residuals of my model are not normal. This is confirmed by Shapiro's test…
-
Hello,
I hope all is well! We have been very interested in using phylonco, specifically the binary substitution model and error model. We have first simulated data with a known mutation rate and …
-
# Neural Likelihood Free Inference – List of papers using Neural Networks for Bayesian Likelihood-Free Inference
List of papers using Neural Networks for Bayesian Likelihood-Free Inference
[https://…
-
Theoretical background of AIPTW is interesting, but can I use this "weight" for survival analysis? (like, Cox regression)
Sorry for my lack of understanding on statistics.
-
Steps to reproduce:
- fork and clone the repository as per instructions in its README or in Udacity's course
- still following those instructions, run the first step in the pipeline, which is alread…
-
Hi guys,
thanks for the great work so far! Today, I stumbled across a bug in my application due to the misspecification of "isBelow" and "isAbove".
# Description/Steps to reproduce
- Crea…
-
In Bambi which uses PyMC3, it's possible to plot a smoothed histogram (using kernel density estimation) of the marginal posteriors of each stochastic random variable. For example see https://docs.pymc…
-
general issue #3446 with several other related issues
This is specifically to get started with a quick implementation for GLM for nested models
I would like to have it for GAM to compare with wald…
-
Heckman model is not robust to misspecification of the distribution.
One alternative are more non- or semi-parametric methods that I never looked at.
Another alternative is to provide an collection …