-
@tpapp
A simple test problem is:
```julia
using DiffEqBayes, OrdinaryDiffEq, ParameterizedFunctions, RecursiveArrayTools
println("One parameter case")
f1 = @ode_def_nohes LotkaVolterraTest1…
-
This is wonderful! Could you include the code from your example page (http://blog.littleredcomputer.net/math/odex/js/2016/04/03/lotka-volterra.html)? I'm particularly interested in how you're plotting…
-
When chaning the parameter x0 from 10 to 100 the simulation output is wrong. It looks as expected though for x0=99 or x0=103. Very strange...
![classicmodel](https://cloud.githubusercontent.com/asset…
-
Stan.jl allows for parameter estimation using Bayesian tools. Using the saved ASTs for a `ParameterizedFunction`, one could create a function which takes in a `ParameterizedFunction` and some data, an…
-
IE versus LVPP model: Why are these graphs different?
http://i.imgur.com/OZHghw2.png
-
We should be able to specify more priors. We just need to define a dictionary that says how to convert Distributions.jl distribution types to strings that Stan can use. @goedman is there a list of Sta…
-
In http://beta.book.xogeny.com/behavior/equations/population/ you say that "the Lotka-Volterra system of equations is actually non-linear". This is true since bilinear is non-linear in some case.
Lat…
-
Currently Ploopy (heh) (`Ploopy.py` in the predator_prey folder) runs away - populations run out of hand.
This could be solved by:
- creating negative feedback loops (e.g. "rabbits->rabbits" : "-…
-
Hi, I used to be able to run the lotka_volterra_pe.py example but it seems to throw this error now:
```
and where phi is defined by
y[0] = x[0]
y[1] = x[1]
-------------------------------------…
-
Hi @ChrisRackauckas, I am trying to use the http://docs.juliadiffeq.org/latest/analysis/parameter_estimation.html examples to find parameters for a system of ODEs in a biology problem. I am able to s…