Questions tagged [exponential-family]

A set of distributions (eg, normal, $\chi^2$, Poisson, etc) that share a specific form. Many of the distributions in the exponential family are standard, workhorse distributions in statistics, w/ convenient statistical properties.

In probability and statistics, the exponential family is an important class of probability distributions sharing a certain form, specified below. This special form is chosen for mathematical convenience, on account of some useful algebraic properties, as well as for generality, as exponential families are in a sense very natural distributions to consider. The term exponential class is sometimes used in place of "exponential family".

From Mood et al. (pages 312 and 313, 1974):

  1. One-parameter exponential family.

A one-parameter family ($\theta$ is unidimensional) of densities $f(.;\theta)$ that can be expressed as:

$f_X(x;\theta) = \text{a}(\theta)\text{b}(x)\text{exp}[\text{c}(\theta)\text{d}(x)]$,

for $-\infty < x < \infty$, for all $\theta \in$ parametric space, and for a suitable choice of functions $\text{a}(.),\text{b}(.),\text{c}(.)$, and $\text{d}(.)$ is defined to belong to the exponential family or exponential class.

  1. K-parameter exponential family.

A family of densities $f(.,\theta_1,...,\theta_k)$ that can be expressed as:

$f_X(x;\theta_1,...,\theta_k) = \text{a}(\theta_1,...,\theta_k)\text{b}(x)\text{exp}\sum\limits_{j=1}^k{\text{c}_j(\theta_1,...,\theta_k)\text{d}_j(x)}$,

for a suitable choice of functions $\text{a}(.,...,.), \text{b}(.), \text{c}_j(.,...,.)$, $\text{d}_j(.)$, $j=1,....,k$, is defined to belong to the exponential family.

References:

Mood, A. M., Graybill, F. A., & Boes, D. C. (1974). Introduction to theory of statistics. (B. C. Harrinson & M. Eichberg, Eds.) (3rd ed., p. 564). McGraw-Hill, Inc.

Wkipedia

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What is the rationale behind the exponential family of distributions?

From elementary probability course, the probability distributions such as Gaussian, Poisson or exponential all have a good motivation. After staring at the formula of the exponential family distributions for a long time, I still do not get any…
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Why is the continuous uniform distribution not an exponential family?

In class I've been given that a family of distributions $\{P_{\theta} : \theta \in \Theta\}, \Theta \in \mathbb{R}^{k} $ is an exponential family if there exits real-valued functions $\eta_{1}, ... , \eta_{k}, B $ of $\theta$ and $T_{1}, ... ,…
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Role of base measure in exponential family

An exponential family distribution $p$ in the canonical form can be written as $p(x|\theta) = h(x)\exp(\theta^\top T(x) - A(\theta))$ where $A(\theta)$ is the log partition function, $T(x)$ is the sufficient statistics, and $h(x)$ is the base…
wij
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Can the parameter space of a single parameter exponential family in canonical form be a closed interval?

I know that the parameter space has to be convex (that I've proved using Jensen's inequality). Therefore, since it has to be a subset of $\mathbb R$, it follows that it has to be an interval or a point. Assuming that it is not a point, is it…
Martund
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Effect of the measure on exponential families

This might be a very naive question. Wikipedia describes an exponential family as a distribution $$f(x \mid \theta) = h(x) \exp( - \theta x - A(\theta)),$$ where $$A(\theta) = \log\left(\int h(x) \exp( - \theta x) dx\right).$$ I want to…
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Is this a member of an exponential family?

I strongly believe that this distribution does not belong to the exponential family: $f(x;\theta) = \frac{\theta}{2}^{|x|}(1 - \theta)^{1-|x|}I_{\{-1, 0, 1\}}(x)$. I have to write $f(x;\theta)$ as $a(\theta)b(x)\exp(c(\theta)d(x))$, I don't think…
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How to prove that of set of Exponential Family Distribution functions are linearly independent?

Is it possible to prove that a set of exponential family distributions are linearly independent? I want to show that $\sum_k c_{k} F_{k}(\pmb{x},\pmb{\theta})=0$ has only the trivial solution $c_k$'s are $0$, where $F_{k}(\pmb{x},\pmb{\theta})$ is…
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Convention Regarding Exponential Family Natural Parametrization

I am self-studying the 2nd edition of Casella and Berger's Statistical Inference and I'm working through the problems on exponential families. They define an exponential family of probability density functions as those that can be written in the…
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Exponential Family distribution with non-open natural parameter space?

Is there any example of canonical exponential family distribution with a natural parameter space, that is not open? An $k$ dimensional canonical exponential family means having a p.d.f (w.r.t base measure $u(dx)$)$$\exp\{T'\eta\}c(\eta),$$ where…
Tan
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Exponential family definition appears vacuous

I am going through Michael Jordan's notes on exponential families and an exponential family is defined w.r.t. functions $h(\cdot), T(\cdot)$, and parameter $\eta$ such that $$ p(x | \eta) = h(x) \exp\bigl\{\eta^\top T(x) - A(\eta)\bigr\} $$ with $$ …
ted
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Reagarding the base measure h(x) in the exponential family

most authors define the canonical form of the exponential family as $$ p(\mathbf{x} | \boldsymbol{\theta})=h(\mathbf{x}) \exp (\boldsymbol{\eta}(\boldsymbol{\theta}) \cdot \mathbf{T}(\mathbf{x})-A(\boldsymbol{\theta})) $$ with the restriction that…
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General exponential family distribution $p(s_1,s_2, x_1,x_2)$, with $s_1,s_2$ binary and $x_1,x_2$ Guassian?

Let $s_1,s_2,x_1,x_2$ be 4 random variables, where $s_1,s_2\in\{-1,1\}$ are binary, while $x_1,x_2 \in \mathbb R$ are continuous. I want to find the most general form of the distribution $p(s_1,s_2,x_1,x_2)$, subject to the following…
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What distributions are in the exponential family?

Are there any exponential family distributions other than wishart distribution, multivariate normal distribution, Dirichlet distribution, multinomial(or categorical) distribution, Conway-maxwel multinomial distribution?
d d
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Why are/aren't these functions members of the exponential family?

I am currently trying to learn about the exponential family of distributions. I am trying to understand this question and this answer from Xi'an. I have the same function: $$f(x; \sigma, \tau)= \begin{cases} \dfrac{1}{\sigma} e^{-(x - \tau)}/\sigma…
The Pointer
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How to prove part of exponential family

We saw that in order to prove a distribution is a part of a exponential family we should be able to write it in this form: f(y;θ)=exp(a(y)b(θ)+c(θ)+d(y) And to prove that: All statistics T are linearly independent The interior of the parameter set…
Anna
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