# Kernel density estimation of 2 dim with sj bandwidth in matlab

The following Matlab project contains the source code and Matlab examples used for kernel density estimation of 2 dim with sj bandwidth. 2 dimenstion Kernel density Estimation with Sheater Jones bandwidth for each variable. Also the Sheater Jones bandwidth selection method will work for the univariate.

# Update pdf estimation in matlab

The following Matlab project contains the source code and Matlab examples used for update pdf estimation. Based on the Gaussian kernel density estimation, it is possible to update the PDF estimation upon receiving new data by using the same bandwidth.

# Kernel density estimation in matlab

The following Matlab project contains the source code and Matlab examples used for kernel density estimation. % fast and accurate state-of-the-art % bivariate kernel density estimator % with diagonal bandwidth matrix.

# Mutual information 2 variablle in matlab

The following Matlab project contains the source code and Matlab examples used for mutual information 2 variablle. The function will estimate Estimate Mutual Information with kernel density function

# Kernel density estimator in matlab

The following Matlab project contains the source code and Matlab examples used for kernel density estimator. % Reliable and extremely fast kernel density estimator for one-dimensional data; % Gaussian kernel is assumed and the bandwidth is chosen automatically; % Unlike many other implementations, this one is immune to problems % caused by multimodal densities with widely separated modes (see example).

# Gaussian normally distributed random data in matlab

The following Matlab project contains the source code and Matlab examples used for gaussian normally distributed random data. normrnd_normfit helps the user generate a normally distributed random set of data and then fit a Gaussian curve on the top of the data and back compute its mean and standard deviation.

# Bivariant kernel density estimation (v2.1) in matlab

The following Matlab project contains the source code and Matlab examples used for bivariant kernel density estimation (v2.1). This function implements bivariant Gaussian kernel density estimation.

# Bivariate kernel density and regression in matlab

The following Matlab project contains the source code and Matlab examples used for bivariate kernel density and regression. Returns, for two data series: Marginal kernel densities Bivariate kernel density Conditional kernel density Nadaraya-Watson kernel regression kernel quantile regression Method: Gaussian kernel, Silverman rule

# Bivariate kernel regression with restrictions in matlab

The following Matlab project contains the source code and Matlab examples used for bivariate kernel regression with restrictions. bivkernrest returns the marginal kernel densities of the two input data series, the bivariate kernel density, the conditional kernel densities, and the conditional expectations.

# Locally adaptive kernel density estimation in matlab

The following Matlab project contains the source code and Matlab examples used for locally adaptive kernel density estimation. First thing to do: Run a tutorial code, tutorial.

# Kernel density estimation in matlab

The following Matlab project contains the source code and Matlab examples used for kernel density estimation. ** Please also check ssvkernel.

# Violin plot based on kernel density estimation in matlab

The following Matlab project contains the source code and Matlab examples used for violin plot based on kernel density estimation. This function creates simple violin plots by estimating the kernel density, using matlabs default ksdensity().

# Kernel density estimation for circular functions in matlab

The following Matlab project contains the source code and Matlab examples used for kernel density estimation for circular functions. See also http://dylan-muir.

# Histogram binwidth optimization in matlab

The following Matlab project contains the source code and Matlab examples used for histogram binwidth optimization. function [optN, C, N] = sshist(x,N) % [optN, C, N] = sshist(x,N) % % Function `sshist' returns the optimal number of bins in a histogram % used for density estimation.

# Histogram Matching Matlab Code

Histogram matching is a method in image processing of color adjustment of two images using the image histograms.

It is possible to use histogram matching to balance detector responses as a relative detector calibration technique. It can be used to normalize two images, when the images were acquired at the same local illumination (such as shadows) over the same location, but by different sensors, atmospheric conditions or global illumination.

# Multi dimensional kernel density estimates over periodic domains in matlab

The following Matlab project contains the source code and Matlab examples used for multi dimensional kernel density estimates over periodic domains. See also http://dylan-muir.

# Fast kernel density estimator (multivariate) in matlab

The following Matlab project contains the source code and Matlab examples used for fast kernel density estimator (multivariate). The code implements an approximation of the multivariate bandwidth calculation from . 