-
The `ScalableTestSuite.Electrical.DistributionSystemDC.ScaledExperiments.DistributionSystemModelicaIndividual_N_10_M_10` model runs correctly with both the OB and NB. The model is stateless and contai…
-
This outlines a roadmap for basic statistical functionality that Julia needs to offer. It is heavily drawn from the table of contents for MASS.
- [ ] Data processing [DataFrames.jl](https://github.com…
-
You cover LOESS, polynomials and breakpoint modelling nonlinear patterns, but oddly do not cover splines (breakpoint modelling is a subset of regression splines limited to linear, slope = 0 models) in…
-
I pushed the following text to the new repo:
This book introduces Bayesian data analysis and Bayesian cognitive modeling to
students and researchers in cognitive science (e.g., linguistics,
psych…
-
- [x] Explore data.
- [x] Why are there 2000 rows? Should there be another filter condition?
- [x] Improve basic latitude by longitude graph (continent outlines, circumpolar view).
- [x] What is th…
-
Hi all.
I fitted a series of HDDMregression models that included regressor on z. Based on my prior experience, I used inverse logit function as link function for z, which is also the recommended appr…
-
**Brief introduction on regression**
- notation
- assumptions
- family/link functions
- relaxing assumptions (mixed models, non linearity, ...)
**Marginal effect + demonstration and/or**
1. …
-
- Matern covariance functions for GP effects / trends
- 2d FFT GPs (or even 1d) for complex but stationary GP effects (https://arxiv.org/pdf/2301.08836.pdf)
- Multivariate normal observation models
…
-
Regression (_e.g._ linear regression, logistic regression, poisson regression, etc) is a very important in machine learning. Many problems can be formulated in the form of (regularized) regression.
…
-
## Summary
Be able to train a model using the following workflow:
- select goal
- select model to use
- they cannot use a regression model for a classification problem
- process data for model
…