-
While Logistic Regression is a commonly used algorithm for binary classification tasks like breast cancer classification, there are challenges in achieving high generalization performance across diffe…
-
I can't find any mention of Nonlinear regression capabilities by the MixedModels package. Is that something that it can do to compare with `R`'s `nlme & lme4` packages?
-
All PRs and attempts to add general nonlinear model (not with link, single index) have stalled so far.
(I was looking again at outlier robust estimation of nonlinear mean functions `y = f(x, theta) +…
-
Hi Richard,
First of all, thank you very much for all the work with BayesFactor!
I've just started studing bayes data analysis and have little experience with fitting models to data, so my quest…
-
(another random thought, a quick google search shows that there is some information, but I haven't read anything.)
In the illustrative quantile regression example, I used heteroscedasticity to get …
-
- [x] question
- [ ] bug report
- [ ] feature request
Are there any "Non-Linear"! and Gradient free Regression classes in Accord?
Hello Accord Team :D
I am very impressed of your work…
-
Summary of thoughts from a [twitter thread](https://twitter.com/IsabellaGhement/status/1779537903317848101)
1. Can it be made clearer that GLMs model the conditional distribution of Y given X (as …
-
I would like to so a nonlinear quantile regression, using a power law fit.
**This is my current Code, where i can do a u-curved linear quantile regression like (Y = b o + b1X1 + b2X12)...**
df_o…
-
**Is your feature request related to a problem? Please describe.**
Confidence and prediction bands offer a interesting insight into regression outcomes. While the fitted function (correct model selec…
-
# Goal
As a developer, I want to implement nonlinear regression models, so that I can develop statistical indicators.
# Consider
- Consider using facebook's [prophet](https://github.com/facebook/pro…