Monthly Archives: December 2015

Artificial Neural Networks

Of the many, many different ideas put forward to explain, model, and experiment with artificial cognition, one of the most practically successful is the Artificial Neural Network. Not because we’ve managed to actually create cognition with one, but because of … Continue reading

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Bayesian Networks

I have mentioned before that Bayesian Inference is, in general, intractable. People like Gaussians a lot because many nice results in closed-form can be derived from them, analytical treatments are in general possible and even easy to do, but for … Continue reading

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Stopping rules, p-values, and the likelihood principle

A few months ago, someone who used to be called perversesheaf came to tumblr to bash LessWrong there. Now, while there is a very large number of criticisms that can be aimed at it, both as a website and community, … Continue reading

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Confidence and Credibility

Three days ago I got slightly drunk with a few friends (two of which were mentioned in a recent post) and one of them and I were trying to explain to the other what the difference between confidence and credible intervals were. Since … Continue reading

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Learning Bayes [part 3.5]

In part 3, I discussed the problem of finding a way of drawing a posterior point estimate of a number  based on a series of point estimates that’s more “theoretically valid” than taking the median, which is the standard of the … Continue reading

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Learning Bayes [part 3]

I was talking to a friend (the same friend who inspired the two previous posts), who was talking to a friend of ours about a thing, and there’s a context but it doesn’t matter to what I want to write here. Suppose … Continue reading

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