Probability.
Probability Distribution on the Sphere
This article consider a probability distribution that is uniformly distributed on a sphere. In the case of a two-dimensional sphere, the probability distribution of each coordinate has a uniform distribution, and has some interesting properties.
How Machine Learning Works
Although it may seem a little late to be saying this, I feel like I've finally come to understand what makes machine learning different from other data analysis methods such as regression analysis and how it works, so I'll give a brief explanation here.
The Kelly Criterion in Gambling: Implementation
Some readers may want to try using the Kelly Criterion, so I have included the source code in VBA and python. This will probably be the last in "The Kelly Criterion in Gambling" series.
The Probability Distribution of Composites of Normal Random Numbers
For two random numbers that follow a normal distribution, the probability distribution that their sum, product, ratio, etc. follow is shown.
Extension of the Kelly Criterion in Gambling: Mean-Variance Utility Function
As another variant of the Kelly criterion, we define the utility function in terms of the mean and variance of the assets and consider the problem of maximizing it.
Extension of the Kelly Criterion in Gambling: CRRA-type Utility Function
In this article, we extend the Kelly criterion to a more general utility function (CRRA-type utility function) and explain how to determine a betting portfolio based on a gambler's risk aversion.
The Kelly Criterion in Gambling
This article will explain the specific calculation method of the Kelly criterion in gambling according to Kelly's paper.