WeiYa's Work Yard

A traveler with endless curiosity, who fell into the ocean of statistics, tries to write down his ideas and notes to save himself.

Scale Mixture Models

Posted on
Tags: Scale Parameter, Mixture Model

This note is for scale mixture models.

Scale parameter in mixture models

This part is for Petropoulos, C., & Kourouklis, S. (2005). Estimation of a scale parameter in mixture models with unknown location. Journal of Statistical Planning and Inference, 128(1), 191–218.

Given the mixing parameter $\tau > 0$, $S$ and $X$ are independent statistics such that $\tau S/\sigma$ and $\tau X/\sigma$ have densities

\[g(v)I_{(0, \infty)}(v) \quad \text{and}\quad h(x;\lambda)I_{(k(\lambda), \infty)}(x)\]

$\tau$ is assumed to have a distribution function $G(\cdot)$

The paper consider two cases:

  • consider estimation of $\sigma$ when $G(\cdot)$ is a known (complete specified) nondegenerate distribution
  • investigate the robustness of the improved estimators of $\sigma$ obtained under the degenerate model

what if $G(\cdot)$ is unknown

Scale mixtures of normal distributions

$e$ is variance mixture of i.i.d. normal distributions, i.e., its density is given by

\[f(e;\theta^2) = \int_0^\infty \frac{\tau^{n/2}}{(2\pi)^{n/2}\theta^n}\exp\left(-\frac{\tau}{2\theta^2}\Vert e\Vert^2\right)dG(\tau)\]

Scale mixtures of exponential distributions

\[f(x_1,\ldots,x_n;\mu,\sigma) = \int_0^\infty \frac{\tau^n}{\sigma^n}\exp\left\{-\frac{\tau}{\sigma}\sum_{i=1}^n(x_i-\mu)\}I_{(\mu,\infty)}(x_{(1)})dG(\tau)\]

mixsmsn: Finite Mixture of Scale Mixture of Skew-Normal

This part is for Prates, M. O., Lachos, V. H., & Cabral, C. R. B. (2013). mixsmsn: Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions. Journal of Statistical Software, 54, 1–20.

In a word, each component of the finite mixture is assumed to follow some scale mixture distribution.

  • SMSN: scale mixtures of skew-normal distribution
  • FMSMSN: finite mixture of SMSN, where the $i$-th component of the mixture is a SMSN distribution.
\[SMSN(y\mid \mu,\sigma^2,\lambda,\nu) = 2\int_0^\infty \phi(y\mid \mu, u^{-1}\sigma^2) \Phi(u^{1/2}\lambda\sigma^{-1}(y-\mu))dH(u\mid\nu)\]

choices of $H(\cdot\mid \nu)$

  • univariate normal
  • univariate skew-normal
  • univariate skew-Student-t
  • univariate skew-slash
  • univariate skew-contaminated normal

Published in categories Note