-
While doing a new round of SBC I realized that the current formulation of the predictive checks via yrep will be overly optimistic because it uses information from other trait values to predict observ…
-
I have been exploring your DiffAbXL repository and found the section in the README about how to build an interface for benchmarking models. However, I couldn't find any specific code or reference for…
-
Hello,
I've been working on creating my own evaluation loop based on your code, but I've encountered some difficulties. Could you please review my implementation and let me know if it is correct? I…
-
Hey folks-- Just tried to run the gaussian python example, and for everything past sample 60, log(Z) = nan.
```
# Timothys-MacBook-Pro:gaussian tdm$ python gaussian.py
# Seeding random number gen…
-
Masked observations are no longer associated with the observed RV, but to a separate free RV.
```python
import numpy as np
import pymc as pm
with pm.Model() as m:
x = pm.Normal('x', observ…
-
Could you please clarify whether the number of clusters you chose for each layer is the same across all five tasks?
-
## Why?
We want to investigate if our WDM gap-method results in correlated noise.
If we have an almost diagonal covariance matrix, then we can use the LnL equation:
$$ \ln \mathcal{L} (\thet…
-
I think something is wrong in the solution to 4.5.
The log-likelihood is
-
It would be useful for testing numerical inference algorithms to have differentiable likelihoods in lsbi. In theory I think the whole package can swap to jax, however things like rng are quite differe…
-
I'd like to make a couple more changes to kriging
### 1. Noise variance hyperparameter
This would allow modeling and optimization of noisy functions. I would probably add this as a field to the …