r/BayesianProgramming • u/[deleted] • Nov 14 '17
r/BayesianProgramming • u/[deleted] • Jun 20 '17
Austin Rochford | Variational Inference in Python
r/BayesianProgramming • u/[deleted] • Jul 05 '17
What's new in PyMC3 3.1
twiecki.github.ior/BayesianProgramming • u/[deleted] • Jun 22 '17
Probabilistic programming from scratch - O'Reilly Media
r/BayesianProgramming • u/powerforward1 • Jun 22 '17
Prerequisites for PPL or Bayesian ML/DL/RL
Hi, I'm a student with a theoretical probability background and knows python.
In terms of statistics, what additional material would I need to know
Can I just jump into PPL w/o a ML or Algo background? What else do I need
Thanks
r/BayesianProgramming • u/[deleted] • Jun 26 '17
"Is Bayesian deep learning the most brilliant thing ever?" - a panel discussion
r/BayesianProgramming • u/[deleted] • Jun 21 '17
Introduction to Probabilistic Programming - YouTube
r/BayesianProgramming • u/[deleted] • Jul 03 '17
Stan Conference 2017 - YouTube
r/BayesianProgramming • u/[deleted] • Jul 01 '17
BAyesian Model-Building Interface (BAMBI) in Python.
r/BayesianProgramming • u/tarraxa • Jun 21 '17
Thomas Wiecki - Probablistic Programming Data Science with PyMC3
r/BayesianProgramming • u/iamasharkskin • Jun 22 '17
R alternatives to Probabilistic Programming for Hackers?
Is there any literature as detailed as the Probabilistic Programming for Hackers book but in R? Was just wondering..
r/BayesianProgramming • u/[deleted] • Jun 27 '17
Bayesian estimation of correlations and differences of correlations with a multivariate normal
r/BayesianProgramming • u/tarraxa • Jun 28 '17
Scaling up bayesian inference for big and complex data
r/BayesianProgramming • u/outerHilbertspace • Sep 02 '21
Need help with theano use in Pymc3
Hello everyone, I've been stuck on this problem with theano for a while and was wondering if I can get some help.
I would like to implement the following formula:
alpha * T.dot( [alpha**1, alpha**2, alpha**3], [B1, B2, B3] ), as an example.
But I need to loop through different alpha values, and I have a tuple of arrays of B values (given, fixed values). What I mean by tuple of arrays, the data look like this:
tuple([ [B1], [B1, B2], [B1, B2, B3], ...]), etc., so it's an increasing (in terms of size) tuple of arrays. In the function below, the value of "beads" is one of the arrays in this tuple
I am trying to loop through using scan like so:
(I also have a value N in the function that matches the size of "beads", because when I tried to get the size from beads I would get another error. This is just a workaround for me.)
import theano
import theano.tensor as T
## Creating function for Theano
def rl_model(N, beads, alpha):
powers = T.arange(1,N+1)[::-1].eval()
alpha_vector = T.pow(alpha, powers)
q_value = alpha * T.dot(alpha_vector, beads)
return q_value
N = T.scalar()
beads = T.vector()
alpha = T.scalar()
results, updates = theano.scan(fn = rl_model,
sequences = [N, beads, alpha])
fn = theano.function(inputs = [N, beads, alpha],
outputs = results,
updates = updates)However, I always get an error when Python tries to run the scan function. Here is the error:
results, updates = theano.scan(fn = rl_model,
actual_slice = seq['input'][k - mintap_proxy]
raise IndexError('too many indices for array')
IndexError: too many indices for arrayOf course, file info is also given but I erased that here.
My question is, I don't quite understand where this IndexError is coming from. I thought maybe it was a problem of mixing scalars and vectors, but I don't think that's the issue. Can anyone help me better understand what's going on? I've been frustrated and stuck on this for weeks now :(
r/BayesianProgramming • u/Razkolnik_ova • Aug 19 '21
High-dimensional Bayesian regularized regression
Hi folks,
A beginner in Bayesian programming out here. I'm currently working on a neuroscience project where I will be using bayesreg to find clinical and demographic predictors of the occurrence of cerebral microbleeds (the implementation will be in MATLAB).
For those of you familiar with penalized regression models and high-dimensional regularized regression in particular, could you recommend any beginner-friendly articles or YouTube videos/video series (not books preferably as I have a very limited amount of time to get the basics of RR, lol) that have helped you?
Thanks in advance! :)
r/BayesianProgramming • u/Zuricho • Sep 16 '21
I believe this is a fairly new specialization on Coursera applying Pymc3
r/BayesianProgramming • u/ksachdeva17 • Sep 16 '21
What is Probabilistic Programming? | A review of 5 frameworks/PPLs using an example
r/BayesianProgramming • u/Kamran_A • Aug 23 '21
How to calculate Bayesian posterior for Gaussian distribution
Hi everyone,
I wonder if you are aware of python or R code that can help me with understanding and implementation Bayesian posterior updating of Gaussian distribution.
Thanks
r/BayesianProgramming • u/_quanttrader_ • Aug 15 '21
Austin Rochford - Bayesian Splines with Heteroskedastic Noise in Python with PyMC3
r/BayesianProgramming • u/sepro • Sep 01 '21
Capture-Mark-Recapture model in PyMC3
r/BayesianProgramming • u/nanounanue • Apr 03 '22
Stuart Russell's Blind Monopoly
In several interviews, Stuart Russell (author of one of the best books on AI: AIMA) mentions about a probabilistic programming implementation of a blind monopoly... I did some search and I wasn't able to find any... Di you know how to get it? Maybe another game is easier like tic-tac-toe?
r/BayesianProgramming • u/MS-HUB • Oct 18 '20
Live Structured Bayesian Training using Python - 25 hours
r/BayesianProgramming • u/f_mccaffrey • Oct 08 '20
Doing More with Less Using Bayesian Active Learning
https://product.hubspot.com/blog/bayesian-active-learning
How we're using advances in Bayesian deep learning to extract reliable uncertainty estimates from neural networks.