Writing

Information Theory and Entropy

Information Theory and Entropy

DJ Rich

Entropy and its related concepts quantify the otherwise abstract concept of information. A tour reveals its relationship to information, binary encodings and uncertainty. Most intuitively, we're left with a simple analogy to 2D areas.

Generalized Linear Models

Generalized Linear Models

DJ Rich

A Generalized Linear Model, if viewed without knowledge of their motivation, can be a confusing tool. It's easier to understand if seen as a two knob generalization of linear regression.

Jensen's Inequality

Jensen's Inequality

DJ Rich

A visual makes Jensen's Inequality obvious and intuitive.

The Fisher Information

The Fisher Information

DJ Rich

The Fisher Information quantifies the information an observation carries for a parameter. The quantification becomes intuitive once we see it measuring a certain geometric quality.

The Copula and 2008

The Copula and 2008

DJ Rich

The copula provides a clever means for mixing and matching a set of marginal distributions with the joint-only mechanism of a joint distribution. However, its elegance and utility have been a dangerous lure.

The Matrix Inversion Lemma

The Matrix Inversion Lemma

DJ Rich

The Matrix Inversion Lemma looks intimidating, but it is easy to know when it applies. Doing so offers considerable computational speed ups.

Bayesian Optimization

Bayesian Optimization

DJ Rich

When optimizing a slow-to-evaluate and non-differentiable function, one may think random sampling is the only option--a naive approach likely to disappoint. However, Bayesian optimization, a clever exploit of the function assumed smoothness, disconfirms these intuitions.

The Fundamental Law of Active Management

The Fundamental Law of Active Management

DJ Rich

The Fundamental Law of Active Management decomposes a well known summarizing metric of an investment strategy. The decomposition yields two dimensions along which all strategies may be judged and suggests avenues for improvement.

The Exponential Family

The Exponential Family

DJ Rich

The exponential family is a generalization of distributions, inclusive of many familiar ones plus a universe of others. The general form brings elegant properties, illuminating all distributions within. In this post, we discuss what it is, how it applies and some of its properties.