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Due to the simplicity of BIC and from experience it seems there's always a nice minimum. In terms of basis optimisation I think it may make sense to start from low polynomial degree and increase such …
casv2 updated
11 months ago
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The following models fail in result comparison.
Tested revision: f9bddf86 (2024-02-16)
Changed models, need reference update after library officer check:
- [ ] Modelica.Mechanics.MultiBody.Exampl…
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- [ ] 2D Conformal
- [ ] 3D Conformal
- include auto or manual beta0 estimation
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# Regressions with a Mis-measured, Binary Outcome | econometrics.blog
Many outcomes of interest in economics are binary. For example, we may want to learn how employment status \(Y^*\) varies with de…
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This looks like a recent hot topic mainly for machine learning.
Basic idea: use calibration data, separate from estimation/training data, to estimate quantiles and prediction sets or intervals for …
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Was also wondering if it would be hard to also support mgcv::gam (generalized additive models) and scam (shape constrained additive models) models? The recipe to calculate confidence and prediction in…
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GenericLikelihoodModel added the pattern for fixing params a long time ago, based on parameter transformation or expansion/reduction.
- The only current usecase of the GenericLikelihoodModel versio…
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I will merge OrderedModel with core functionality in PR #7035
R package `ordinal` has a good article, based on very brief skimming
https://cran.r-project.org/web/packages/ordinal/vignettes/clm_ar…
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I am trying to perform a simple example application of XSwap-permuted networks for generic inference tasks. The simplest example that came to mind is to take a simple network (call original network A)…
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summary currently has autocorrelation and normality tests, but they are just available in the summary tables. Heteroscedasticity, outlier and (non)linearity diagnostics are missing.
I might also be n…