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 theshamblog.com
Introducing the 'monaco' Monte-Carlo Python Library - The Shamblog
| | al3xandr3.github.io
Statistical Significance test using Permutation - AL3XANDR3
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| | Statistical Significance test using Permutation
| | qbnets.wordpress.com
My Identifiability Checker Works! Verified Judea Pearl's Backdoor and Frontdoor adjustment formulae | Quantum Bayesian Networks
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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...
| | www.markhw.com
A Monte Carlo Study on Methods for Handling Class Imbalance in Machine Learning - Mark H. White II, PhD
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| | blog.evjang.com
Eric Jang: Tips for Training Likelihood Models
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| This is a tutorial on common practices in training generative models that optimize likelihood directly, such as autoregressive models and ...