## Fast Kernel Density Estimation using the Fast Fourier Transform

1. Setup This Post is about how to speed up the computation kernel density estimators using the FFT (Fast Fourier Transform). Let be be a random sample drawn from an …

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# Category: Coding

## Fast Kernel Density Estimation using the Fast Fourier Transform

## Non-Linear Classification Methods in Spark

## An AI with less than 200 lines of code

## Teaching a Computer Gamerules

## Solving the Multiarmed Bandit problem with JavaScript

## Non-Linear Support Vector Machines (SVM)

## Kernel Regression using Pyspark

## Nonparametric Density estimation using Spark

## Functional Regression with Spark

## Functional Principal Component Analysis with Spark

A science blog about my spare time data analysis projects.

1. Setup This Post is about how to speed up the computation kernel density estimators using the FFT (Fast Fourier Transform). Let be be a random sample drawn from an …

In a previous post I covered how to apply classical linear estimators like support vector machines or logistic regression to a non-linear dataset using the kernel method. This article can …

In the last two articles we covered the topics “How to teach a computer gamerules” and “The Multiarmed Bandit Problem”. Indeed these two articles where intended to be an introduction …

Sequential games with perfect information 1. A very short course in Game Theory In the twenties people start to describe games using math. Since then Game Theory becomes an important …

1. Formulation of the Multiarmed Bandit Problem Consider the following problem: A gambler enters a casino with slot machines. The probability to receive a reward for each slot machine follows …

1. Introduction This blog post is about Support Vector Machines (SVM), but not only about SVMs. SVMs belong to the class of classification algorithms and are used to separate one …

1. Kernel Regression using Pyspark In a previous article I presented an implementation of a kernel denisty estimation using pyspark. It is thus not difficult to modify the algorithm to …

1. A Nonparametric Density implementation in Spark One of my previous blog post concerns about nonparametric density estimation. In this post i presented some Matlab code. An advantage of this …

1. Functional Regression Let the covariate be an at least twice continuously differentiable random function defined wlog. on an interval and the corresponding the response. For simplicity we assume centered …

1.) Functional Principal Component Analysis Let be a centered smooth random function in , with finite second moment . Without loss of generality we assume instead of some arbitrary compact …