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All courses for every first-year Science student will be delivered online this fall. A limited number of students in their second, third and fourth years will return to campus for part of the semester.

Statistics Seminar - Yogendra Chaubey - Nonparametric Smooth Estimation of Probability Density Function and Other Related Functionals

Description

Title: Nonparametric Smooth Estimation of Probability Density Function and Other Related Functionals

Speaker: Yogendra Chaubey (Concordia University)

Abstract:

In this talk I will highlight some recent developments in the area of nonparametric functional estimation with emphasis on nonparametric density estimation. A lemma attributed to Hille, and its generalization [see Lemma 1, Feller (1965)  An Introduction to Probability Theory and Applications, Sec VII.1)] has been used to propose estimators in the context of i.i.d. observations in Chaubey and Sen (1996, Statistics and Decisions) and Chaubey et al. (2012, Jour. Ind. Stat. Assoc.). The generality of the technique will be illustrated to non-standard situations such as biased data and circular data. A review of recent results and contrasting various techniques will also be presented.

Date/Time: Tuesday October 20, 3:30 - 4:30 

Location: Virtual 

Join Zoom Meeting
https://mcmaster.zoom.us/j/95079221401?pwd=ZHFQUTIwSUtHd1pGOGhzc01xei9TQT09

Meeting ID: 950 7922 1401
Passcode: 016314
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McMaster University - Faculty of Science | Math & Stats