Re: [julia-users] Deducing probability density functions from model equations

2015-07-21 Thread John Myles White
There's tons of WIP-code that implements arithmetic on Distributions. No one has the time to finish that code or volunteer to maintain it, so it's just sitting in limbo. OP: What you're asking for sounds like it's largely equivalent to probabilistic programming. There are a ton of ways you coul

Re: [julia-users] Deducing probability density functions from model equations

2015-07-21 Thread Tamas Papp
In general, f(x,theta) does not necessarily belong to any frequently used distribution family, even if theta does -- it is easy to come up with examples. Some distribution families are closed under certain operations (eg addition, and multiplication by scalars for the normal), and some distri

[julia-users] Deducing probability density functions from model equations

2015-07-21 Thread amiksvi
Dear all, I don't know if that's the best place to ask such a question but I'll give it a try: I need to code stochastic models: xnplus1 = f(xn, theta) where xn is the state of my system at time n and theta is a set of parameters for this model, constant through time, and possibly containing