On censored sample estimation of a multivariate analytic probability density

The problem of estimating an unknown probability density $f(x)$ by a $d$-dimensional sample $X_1,\dots,X_n$, $X_j\inR^d$, is studied, observing only those sample elements which fall into the given bounded domain $G\subsetR^d$.