Consistency and asymptotic normality in a class of nearly unstable processes von Badreau, Marie, Proïa, Frédéric

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Comparison of Machine Learning Methods in the Study of Cancer Survivors’ Return to Work: An Example of Breast Cancer Survivors with Work-Related Factors in the CONSTANCES Cohort von Badreau, Marie, Fadel, Marc, Roquelaure, Yves, Bertin, Mélanie, Rapicault, Clémence, Gilbert, Fabien, Porro, Bertrand, Descatha, Alexis

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Sectors-Job retention/disability matrix on Reunion Island: From description and prediction by Machine Learning to prevention of job loss von Fauquembergue, L., Le Guen, V., Badreau, Marie, Gilbert, Fabien, Descatha, A.

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Testing for the extent of instability in nearly unstable processes von Badreau, Marie, Proïa, Frédéric

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Consistency and asymptotic normality in a class of nearly unstable processes von Badreau, Marie, Proïa, Frédéric

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Testing for the extent of instability in nearly unstable processes von Badreau, Marie, Proïa, Frédéric

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Consistency and asymptotic normality in a class of nearly unstable processes von Badreau, Marie, Proïa, Frédéric

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Mat-O-Covid : comment l’utiliser ? von Descatha, A., Pitet, S., Badreau, M., Gilbert, F., Sembajwe, G., Descatha, A., Fadel, M., Pitet, S., Gilbert, F., Valter, R., Leclerc, A., Verdun-Esquer, C., Esquirol, Y., Legeay, C., Petit, A., Dinh, A., Andujar, P., Leclerc, J.-P., Letheux, C., Duprat, P., Clodoré, B., Cartégnie, S., Dagrenat, C., Dab, W., Clin-Godard, B., Gehanno, J.-F., Dubée, V., Havette, P.

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