In LDA topic model algorithm, I saw this assumption. But I don't know why chose Dirichlet distribution? I don't know if we can use Uniform distribution over Multinomial as a pair?

Question: Binomial and multinomial models: suppose data (y1,...,y) follow a multinomial distri- bution with parameters (01,...,03). Also suppose that 0 = (01,...,0,) has a Dirichlet prior …

I'm confused about how to calculate the perplexity of a holdout sample when doing Latent Dirichlet Allocation (LDA). The papers on the topic breeze over it, making me think I'm missing …

Drawing from Dirichlet distribution Ask Question Asked 12 years, 2 months ago Modified 7 years, 2 months ago

33 "Dirichlet function" is meant to be the characteristic function of rational numbers on $ [a,b]\subset\mathbb {R}$. On one hand, a function on $ [a,b]$ is Riemann integrable if and …

Proof that the Dirichlet function is discontinuous Ask Question Asked 12 years, 5 months ago Modified 4 years, 2 months ago

The Dirichlet Process is a different, more general, animal whose definition depends on the usual Dirichlet distribution. They become the same only when the sampling space is finite (which …

Construction of Dirichlet distribution with Gamma distribution Ask Question Asked 13 years, 2 months ago Modified 3 years, 6 months ago

Dirichlet's test for convergence of improper integrals Ask Question Asked 13 years, 6 months ago Modified 13 years, 5 months ago

In DeepMind's AlphaGo Zero and AlphaZero papers, they describe adding Dirichlet noise to the prior probabilities of actions from the root node (board state) in Monte Carlo Tree Search: …