# demgpot

## Purpose

Computes the gradient of the negative log likelihood for a mixture model.

## Synopsis

    g = demgpot(x, mix)

## Description

This function computes the gradient of the negative log of the unconditional data density `p(x)` with respect to the coefficients of the data vector `x` for a Gaussian mixture model. The data structure `mix` defines the mixture model, while the matrix `x` contains the data vector as a row vector. Note the unusual order of the arguments: this is so that the function can be used in `demhmc1` directly for sampling from the distribution `p(x)`.

## See Also

`demhmc1`, `demmet1`, `dempot`

Pages: Index

Copyright (c) Ian T Nabney (1996-9)