This paper presents a new Bayesian, infinite mixture model based, clustering approach, specifically designed for time-course microarray data. The problem is to group together genes which have “similar” expression profiles, given the set of noisy measurements of their expression levels over a...

The paper proposes a method of deconvolution in a periodic setting which combines two important ideas, the fast wavelet and Fourier transform-based estimation procedure of Johnstone "et al". ["J. Roy. Statist. Soc. Ser. B"<b>66</b> (2004) 547] and the multichannel system technique proposed by Casey and...

We consider independent pairs (X1, [Sigma]1), (X2, [Sigma]2), ..., (Xn, [Sigma]n), where each[Sigma]iis distributed according to some unknown density functiong([Sigma]) and, given[Sigma]i=[Sigma],Xihas conditional density functionq(x|[Sigma]) of the Wishart type. In each pair the...