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Forthcoming STCE Seminars

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[ Past seminars ]

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Date & Time	Location	Speaker	Affiliation	Title	Remarks	Abstract
2012-03-08 at 14:30:00	Meridian	Catherine Timmermans	Université catholique de Louvain	The BAGIDIS methodology for investigating datasets of curves or images with sharp patterns	Resp: Veronique Delouille	Display the abstractBAGIDIS is a flexible wavelet-based method for investigating datasets of curves or images with sharp patterns. This seminar starts with a brief overview of the method and presents its specificities. It then discusses its advantages with a particular example in pharmaceutical sciences, involving H-NMR blood spectra. It is believed that this problem might have some methodological links with some problematic in signal processing for space sciences. From a statistical point of view, H-NMR blood spectra are curves with sharp local patterns ("spectral peaks"). Not only their amplitudes but also their locations and shapes are affected by noise, this noise arising from the biological variability of the samples but also from unavoidable changes of the experimental conditions of spectra acquisition. However, most multivariate statistical methods rely on the good alignment of the peaks to be compared (see Timmermans and von Sachs, 2010, for a discussion). Otherwise, false differences might be detected between the spectra. Realignment techniques, such as dynamic time warping have thus been developed, which can be applied as a preamble to the statistical analysis. Those realignment techniques are however imperfect. In this context, the BAGIDIS methodology (Timmermans and von Sachs, 2010) aims at explicitly and simultaneously taking into account both amplitudes variations and horizontal shifts that might affect the patterns in a curve.
2012-05-31 at 09:00:00	Meridian		ROB	STCE annual meeting 2012		Display the abstract

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If you want to give a seminar, or if you want more info, please send an email to Sophie Raynal.

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