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6 votes
2 answers
344 views

Entropy & difference between max and min values of probability mass

Let $X$ be a random variable with probability mass function $p(x) = \mathbb{P}[X = x]$. I know entropy $H(X)$ of $X$ measures the uncertainty of $X$ and a large value of $H(X)$ means $p(x)$ is nearly ...
aest's user avatar
  • 163
1 vote
0 answers
34 views

Correlating two matrices $A,B$ with stochastic dependency structure imposed by cross-validation

Consider a labelled data set $$D = \{(x_1, y_1),...,(x_n, y_n)\} $$ on which we want to evaluate a machine learning algorithm using $k$-fold cross validation with $m$ different random seeds. This ...
Joker123's user avatar
  • 153
7 votes
1 answer
660 views

Books to develop a unified view of statistics and information theory?

I hope to understand the connection between statistics and information theory in a deep philosophical sense. I suppose the best place to start would be David MacKay's Information Theory, Inference, ...
inhaler18's user avatar
2 votes
0 answers
217 views

Inequality on the Kullback-Leibler divergence

Let us define the arithmetic, geometric, and harmonic means of $x,y \in \mathbb{R}$ weighted by $\alpha =(\alpha_x,\alpha_y) \in [0,1]$, respectively as \begin{equation} a_\alpha(x,y) = \frac{\...
Apprentice's user avatar
0 votes
2 answers
299 views

Statistical divergence

Does anyone know about a statistical divergence of this type? \begin{equation} \text{D}(P||Q) = \frac{1}{2} \left[\text{KL}(M||P) + \text{KL}(M||Q)\right] \end{equation} where $M = \frac{1}{2} [P+Q]$....
Apprentice's user avatar