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 noelwelsh.com
Noel Welsh: Simple Isn't Easy
| | www.djmannion.net
Fitting models with circular data in PyMC
6.0 parsecs away

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| | Data are sometimes on a circular scale, such as the angle of an oriented stimulus, and the analysis of such data often needs to take this circularity into account. Here, we will look at how we can use PyMC to fit a model to circular data.
| | qbnets.wordpress.com
My Identifiability Checker Works! Verified Judea Pearl's Backdoor and Frontdoor adjustment formulae | Quantum Bayesian Networks
5.1 parsecs away

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| | My software is working! I am ecstatic. In a previous blog post entitled "Simple, Monte Carlo driven, Pearl-identifiability checker" which I wrote 2 days ago, I described my future plans to add to my software JudeasRx, an "identifiability checker" based on a very efficient and mature MCMC (Markov Chain Monte Carlo) Python software library called...
| | darrenjw.wordpress.com
Unbiased MCMC with couplings - Darren Wilkinson's blog
4.3 parsecs away

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| | Yesterday there was an RSS Read Paper meeting for the paper Unbiased Markov chain Monte Carlo with couplings by Pierre Jacob, John O'Leary and Yves F. Atchadé. The paper addresses the bias in MCMC estimates due to lack of convergence to equilibrium (the "burn-in" problem), and shows how it is possible to modify MCMC algorithms...
| | dustintran.com
On asymptotic convergence of averaged SGD | Dustin Tran
27.8 parsecs away

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| Stochastic gradient descent (SGD) has seen wide application for learning problems on large scale data, whether this be for generalized linear models [6], SVM...