-
I'm posting this issue as a place to discuss and think about our strategy for likelihood-based inference for generalized linear mixed models. Right now I've got a working likelihood function for a Mix…
-
Analytical model with all physical parameters = 1
State data X was generated by a nu…
-
I notice that components only include values, bounds, and jacobians. Is there any reason Hessians are not stored in them as well, other than you just didn't need it?
We are considering using this l…
-
```
Part of the radiation force is produced by direct influence of the incident
field on the point dipoles. When computing this part, ADDA currently assumes
the standard plane wave. Therefore, the r…
-
I have noticed that in simulations with thermal expansion, the deformation is not separated multiplicatively. In the ‘calcmechstrain.f’ file, the thermal strain is subtracted from the total strain to …
-
Do you have any benchmarks of the speed of operations compared to uncertainties? I was planning to add numpy array_function and ufunc support to uncertainties but this module may make it redundant.
…
-
```
Part of the radiation force is produced by direct influence of the incident
field on the point dipoles. When computing this part, ADDA currently assumes
the standard plane wave. Therefore, the r…
-
```
Part of the radiation force is produced by direct influence of the incident
field on the point dipoles. When computing this part, ADDA currently assumes
the standard plane wave. Therefore, the r…
-
While the normal distribution supports ForwardDiff (has cd
```julia
julia> using Distributions, ForwardDiff
julia> n = Normal(0.2, 0.5);
julia> b = Beta(3, 4);
julia> g = Gamma(2, 6);
…
-
It would be very nice to have support for AD in `Base.expm`. I would like to contribute to it, but since I am unfamiliar with the AD architecture in Julia I would appreciate some advice.
For Freche…
tpapp updated
2 years ago