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Analyze a pair of models together, in such a way that you find the places where their predictions diverge. This is the place to conduct an experiment, as it will give the biggest differentiator betwee…
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e.g.
```
require(tergm)
set.seed(0)
nw
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According to the book [pbr-book chapter 16.3 multiple important sampling](https://www.pbr-book.org/3ed-2018/Light_Transport_III_Bidirectional_Methods/Bidirectional_Path_Tracing#MultipleImportanceSampl…
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Introduce Markov Chain Algorithm
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Keywords: Disease Ecology, Markov Chain Monte Carlo (MCMC), Partially Observed Markov Processes (POMP), Non-negative Binomial Distribution, Forecasting, West Nile Virus (WNV).
Developing models to …
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Related to #650 and #481
``` r
library(greta)
#>
#> Attaching package: 'greta'
#> The following objects are masked from 'package:stats':
#>
#> binomial, cov2cor, poisson
#> The follo…
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* [Link](https://arxiv.org/pdf/1610.05683.pdf)
* Title: Reparameterization Gradients through Acceptance-Rejection
Sampling Algorithms
* Keywords (optional):
* Authors (optional):
* Reason …
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I am encountering an issue where if I pass a Turing model of type `DynamicPPL.Model` to `psis_loo()` it returns values of `-Inf` or `NaN`.
However, when I pass it a log-likelihood function and the …
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https://github.com/TRANTANKHOA/Matlab/blob/eb13ec3698adcdb4c1a1a4e97396ecb955308b07/Misc/truncated_Gaussian/Botev_2016/tregress.m
https://en.wikipedia.org/wiki/Truncated_normal_distribution
http…
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We may want a routine for global fit optimisation of binomial (or other) distributed data.
This should give the global optimum parameter estimates and their covariances. Ideally, it should be capab…