Objetivo ResMet is dedicated to applications of resampling methods in statistical inference for the processes with periodic and almost periodic structures. The mentioned processes in the literature are called cyclostationary (CS) and almost cyclostationary (ACS). Studies of CS/ACS processes started by Gladyshev in 1961. Since then the subject has developed fast and found applications in many branches of vibroacoustics, mechanics, signal analysis and climatology. The wide range of possible applications resulted in the thousands of papers that were published through the last 60 years. Unfortunately, the analysis of CS/ACS processes is very difficult. The most difficult is the estimation of the asymptotic covariance matrix for parameters of interest. In practice it is almost impossible and to construct confidence intervals resampling methods need to be used. The Experienced Researcher (ER) will show their consistency for different parameters of CS/ACS processes. Additionally, she will consider jitter effect and develop testing tools to detect the significant frequencies and to check if the considered data are zero-mean. These results will allow e.g. for construction of the new tools for machine faults detection. Moreover, new research topics will appear like choosing the optimal block length for each application. During the fellowship the ER will be able to work with the experts (her supervisor Prof. Dehay included) in the analysis of AC/ACS processes and in testing. The ER will join the seminars organized by them and will exchange the knowledge on the daily basis with other statisticians. Finally, she will present results of her work on the seminars, workshops and conferences. This process will allow her to finish her habilitation and apply for the permanent professor position in Europe. Moreover, during her secondment at Laser Analytica she will get statistical consulting experience, which in future will allow her for collaboration with pharmaceutical companies in Europe. Ámbito científico natural sciencesphysical sciencesastronomyobservational astronomygravitational wavesnatural sciencesearth and related environmental scienceshydrologynatural sciencesearth and related environmental sciencesgeologyseismologynatural sciencesphysical sciencesacousticsnatural sciencesearth and related environmental sciencesatmospheric sciencesclimatology Programa(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Tema(s) MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Convocatoria de propuestas H2020-MSCA-IF-2014 Consulte otros proyectos de esta convocatoria Régimen de financiación MSCA-IF-EF-ST - Standard EF Coordinador UNIVERSITE RENNES II Aportación neta de la UEn € 173 076,00 Dirección PLACE DU RECTEUR HENRI LE MOAL 35043 Rennes Cedex Francia Ver en el mapa Región Bretagne Bretagne Ille-et-Vilaine Tipo de actividad Higher or Secondary Education Establishments Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 173 076,00
