In a previous post, we looked at the Accept-Reject sampling method. This method can be used in a situation where we are able to evaluate the distribution function from which we want to sample, but sampling from directly is impossible. 2,661 more words

## Tags » Bayesian

#### Stable isotopes mixing model for published data

Stable isotopes are more and more used in ecology studies. They represent a very efficient way to study food webs and analyses are now cheap enough to allow their use by anyone. 436 more words

#### Becoming Bayesian

Talking with colleagues, it has become apparent that every day more and more find the Bayesian approach to statistics quite appealing. (Gosh, did I just use three words starting with “app” in a single sentence?) The philosophy behind it seems entirely reasonable: … 343 more words

#### Grid approximation

Sometimes easy concepts are made so easy you can get confused.

I’m reading a book titled Statistical Rethinking: a bayesian course with examples in R and Stan, written by Richard McElreath. 583 more words

#### Plus/minus what? Let's talk about uncertainty (talk)

Last week at DOAG 2017, I had two talks, one about deep learning with DL4J (slides here) and one about how to communicate uncertainty (or rather: how to construct prediction intervals for various methods / in various frameworks ranging from simple linear regression over Bayesian statistics to neural networks). 21 more words

#### The Vanishing Information Problem - Why we switched to deep learning with neural networks

It’s been a year since my last post. My last post was about deep (multi-layer) Bayesian classifiers capable of learning non-linear decision boundaries.

Since then, I’ve put on hold the work I was doing on deep (multi-layer) … 508 more words

#### How Cargo Cult Bayesians encourage Deep Learning Alchemy

There is a struggle today for the heart and minds of Artificial Intelligence. It’s a complex “Game of Thrones” conflict that involves many houses (or tribes) (see: “ 135 more words