Probabilistic Programming Languages

Probabilistic programming might interest you.e.g. http://arxiv.org/abs/1507.00996

Practical applications of Probability Programming Languages?

Many previous discussions: https://hn.algolia.com/?query=Probabilistic%20Programming%20...

MCMC and Bayesian models.https://en.wikipedia.org/wiki/Probabilistic_programming

For anyone interested in learning more, Stan is an excellent alternative probabilistic programming language:https://mc-stan.orgwith thorough documentation:https://mc-stan.org/users/documentation/

You can have look at thishttps://github.com/CamDavidsonPilon/Probabilistic-Programmin...

JAGS - allows you to specify a probabilistic model and sample from the posterior distribution

Probabilistic Programming and Bayesian Methods for Hackers: https://github.com/CamDavidsonPilon/Probabilistic-Programmin...

In the wild I think you'd be more likely to use something like PyMC or Stan, which work like Prolly but support arbitrarily complex models.Still, love the idea.To learn more about probability theory and Bayes, "Probability Demystified" is pretty good. (The Demystified series is McGraw-Hill's take on For Dummies.) To learn more about probabilistic programming, try <a href="http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/" rel=

Also probabilistic programming stuff: PyMC, Stan, Dimple, Church. Not sure if these are 'lesser known', PyMC is mentioned often, still much less hype nowadays than neural networks.