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Working with Alex Ihler and Rina Dechter, we've come up with a new way to do sampling of continuous elements for factored algorithms. Previously we would take N samples from the prior of each continuo…
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> new_model=train_mixture_gamma(trial=1,
+ y_data=y_data,
+ x_data=x_data,
+ no_categorical=0,
+ …
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It would be interesting to see if we can implement HMMs where the emission also depends on the previous emission
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As pointed out by Marta:
``` r
library(BayesMallows)
mod Error in heat_plot(mod): heat_plot only works for a single cluster
```
Created on 2024-02-15 with [reprex v2.1.0](https://reprex.tidy…
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Longer-term, we probably want to implement the ability to handle non-three-point water models. This will take some substantial work, since amber.build_mixture_prmtop and packmol.pack_box work typicall…
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With `SampleFromPrior` and `DefaultContext`:
```julia
julia> @model function bernoulli_mixture(x)
w ~ Dirichlet(2, 1.0)
p ~ DiscreteNonParametric([0.3, 0.7], w)
…
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There are a few things you can do to speed up the Stan code.
### [Dawid-Skene]
* https://github.com/katezhangwen/Efficiency-of-marginalising-over-discrete-latent-parameters/blob/main/Models/Dawi…
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Is there any way and mixture of ways That I can use to visualize the convolution layers in TFLearn? from the following code I want to print the 'CONV" layer.
```
network = input_data(shape=[None,…
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Hi,
I am trying to use Prism on WGBS data. After extracting and preprocessing the data, I get the following error at the deconvolution step:
```
prism deconvolute -i preprocess_out/D33_18_LB.…
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Hi all (especially @skaug),
There's many sampling designs that are reasonably analyzed using an "N-mixture" model, and recent work (http://onlinelibrary.wiley.com/doi/10.1111/biom.12521/full) shows…