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Hamiltonian Monte Carlo (HMC) is a widely used, gradient based, MCMC algorithm, that is the backbone of Stan's inference. I plan to implement it for monad-bayes. Todos (checkboxes indicate things done…
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#624 parameterized link function
#3224 nonlinear transformation to normality
AFAIU:
link function GLM, single index models use
`E(y|x) = f(x b)`
transformation model uses
`z = f(y|x) ~ N(g(x b…
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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…
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Hello
I was wondering if it was possible to compute and export simple descriptive statistics in Orange and also to perform simple statistical tests.
Mean, median, variance, standard deviation, perce…
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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 …
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(I'm coming to this now in the context of outlier robust estimation.)
roughly
- phase 1: try to build a "clean" or in-process reference model.
Includes outlier identification, robust estim…
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http://fr.wikipedia.org/wiki/Test_%28statistique%29
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**Paper**: Local Competition and Stochasticity for Adversarial Robustness in Deep Learning (http://proceedings.mlr.press/v130/panousis21a)
**Venue**: International Conference on Artificial Intellig…
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**Title**
MEG and EEG data processing using MNE: News from the trenches
**Presentor and Affiliation**
A. Gramfort, Inria
**Collaborators**
MNE-Python is developped by a growing internat…
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##### Description
The EPIC Variability Extraction and Removal for Exoplanet Science Targets (EVEREST) pipeline "de-trends K2 light curves with pixel level decorrelation and Gaussian processes". Th…
gully updated
6 years ago