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McCullagh's parametrization of the Cauchy distributions : ウィキペディア英語版
McCullagh's parametrization of the Cauchy distributions
In probability theory, the "standard" Cauchy distribution is the probability distribution whose probability density function (pdf) is
:f(x) =
for ''x'' real. This has median 0, and first and third quartiles respectively −1 and +1. Generally, a Cauchy distribution is any probability distribution belonging to the same location-scale family as this one. Thus, if ''X'' has a standard Cauchy distribution and μ is any real number and σ > 0, then ''Y'' = μ + σ''X'' has a Cauchy distribution whose median is μ and whose first and third quartiles are respectively μ − σ and μ + σ.
McCullagh's parametrization, introduced by Peter McCullagh, professor of statistics at the University of Chicago uses the two parameters of the non-standardised distribution to form a single complex-valued parameter, specifically, the complex number θ = μ + ''i''σ, where ''i'' is the imaginary unit. It also extends the usual range of scale parameter to include σ < 0.
Although the parameter is notionally expressed using a complex number, the density is still a density over the real line. In particular the density can be written using the real-valued parameters μ and σ, which can each take positive or negative values, as
:f(x) = ) }\,,
where the distribution is regarded as degenerate if σ = 0.
An alternative form for the density can be written using the complex parameter θ = μ + ''i''σ as
:f(x) = \,,
where \Im = \sigma.
To the question "Why introduce complex numbers when only real-valued random variables are involved?", McCullagh wrote:
In other words, if the random variable ''Y'' has a Cauchy distribution with complex parameter ''θ'', then the random variable ''Y'' 
*
defined above has a Cauchy distribution with parameter (''aθ'' + ''b'')/(''cθ'' + ''d'').
McCullagh also wrote, "The distribution of the first exit point from the upper half-plane of a Brownian particle starting at ''θ'' is the Cauchy density on the real line with parameter ''θ''." In addition, McCullagh shows that the complex-valued parameterisation allows a simple relationship to be made between the Cauchy and the "circular Cauchy distribution".
==Differential equation==
McCullagh's parametrization of the pdf of the Cauchy distribution is a solution to the following differential equation:
:\left\
f'(x) \left(\mu ^2+\sigma ^2+x^2-2 \mu x\right)+f(x) (2 x-2 \mu )=0, \\
f(0)=\frac+1\right)}
\end\right\}


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