Menu Content/Inhalt
September 2017
28 29 30 31 1 2 3
4 5 6 7 8 9 10
11 12 13 14 15 16 17
18 19 20 21 22 23 24
25 26 27 28 29 30 1

Search on Site

Events Print
previous year previous month next month next year
See by year See by month See by week See Today Search Jump to month
Sophie Dabo, Lille 3 Print
Thursday, 04 May 2017, 12:15 - 13:15

Sophie Dabo, Université Lille 3

Binary Functional Linear Models under Case-Control Sampling

Abstract: A functional binary choice model is explored in a case-control or choice-based sample design context. In other words, a model is considered in which the response is binary, the explanatory variable is functional, and the sample is stratified with respect to the values of the response variable. A dimension reduction of the space of the explanatory random function based on a Karhunen–Loève expansion is used to define a conditional maximum likelihood estimate of the model. Based on this formulation, several asymptotic properties are given. A simulation study and an application to kneading data are used to compare the proposed method with the ordinary maximum likelihood method, which ignores the nature of the sampling. The proposed model yields encouraging results. The potential of the functional choice-based sampling model for integrating special non-random features of the sample, which would have been difficult to see otherwise, is also outlined. 


Location: R42.2.113
Contact: Nancy De Munck, This e-mail address is being protected from spam bots, you need JavaScript enabled to view it