Suppose $A$ is a real $N \times P$ matrix, $P \geq N$, with entries drawn independently according to $A_{ij} \sim \mathcal{N}(0,1)$. Then $W = A \, A^\top$ is a member of the real Wishart ensemble. What is the distribution of $\det W$? I'm particularly interested in the large $N$ behaviour. There might be a qualitative distinction between cases when $N / P(N) \rightarrow c$, with $c = 1$ or $c < 1$. In that case I'd be more interested in the former. Thanks!
The Distribution of the Determinant of a Complex Wishart Distributed Matrix proves that the determinant is distributed as the product of independent random variables with a chisquared distribution, $${\rm det}\,W\simeq\chi^2_P\chi^2_{P1}\cdots\chi^2_{PN+1}.$$ (The title of the paper refers to the complex case, but the real ensemble is also considered towards the end.)
Results for the large$N$ asymptotics can be found here. If we take $N,P\rightarrow\infty$ at fixed ratio $c=N/P<1$, the asymptotics is $$\frac{\log{\rm det}\,(W/P)\sum_{k=1}^N\log(1k/P)}{\sqrt{2\log(1c)}}\rightarrow z,$$ with $z$ normally distributed. For $c\rightarrow 0$ this means that $(2c)^{1/2}\log{\rm det}\,(W/P)$ tends to a normal distribution. At the other extreme, for $c\rightarrow 1$ one has $$\frac{\log{\rm det}\,(W/P)+P+\tfrac{1}{2}\log(P/2\pi)}{\sqrt{2\log P}}\rightarrow z,$$

$\begingroup$ Thanks for your answer. I'm having trouble understanding the large $N$,$P$ behaviour, though... What do you expect as a typical value for $\det W$ as $N,P \rightarrow \infty$? When I do some numerics (and take $P = N +$few), I seem to find that $N!$ is in the ball park of the mean of $\det W$. However if I draw random numbers according to your asymptotic formula, I seem to get much smaller numbers... Is it correct to assume $\det W$ is supposed to be drawn from $\exp [\mathcal{N}(0,\sqrt{2 \log P})]$ (where the second argument of $\mathcal N$ is the standard deviation)? $\endgroup$ – Latrace Apr 25 '17 at 15:28

$\begingroup$ I'm guessing there's some $N!$ or $P!$ missing to make this formula correct. $\endgroup$ – Latrace Apr 25 '17 at 15:36

$\begingroup$ Thanks again for your answer! I saw I made a crucial mistake in the formulation of the problem... The case of most interest is $c = 1$, not $c = 0$. Sorry about that. $\endgroup$ – Latrace Apr 25 '17 at 16:24

$\begingroup$ I'm sorry but I still cannot understand the result you write. Suppose $P = 2N$. Then your formula tells us we should expect $\det W$ to be of order 1 (or less), right? This doesn't make sense at all... Formula (11) in the paper you cite seems closer to the truth, but there $P = N$. $\endgroup$ – Latrace Apr 25 '17 at 16:36

$\begingroup$ By the way, from basic expectations of the eigenvalues of real Wishart matrices one expects an $N!$ growth of $\det W$. The case $c<1$ is clearest, because the smallest eigenvalue of $W$ has an expected value of order $N$. For $P = N + \nu$ the situation may be different, but I still expect (super) exponential growth of $\det W$ with $N$. $\endgroup$ – Latrace Apr 25 '17 at 16:54