Date:21 June 2019, Friday
Location:E1-06-01, Faculty of Engineering, NUS
Time:03:00PM to 04:00PM
Semiparametric Methods with Mixed Measurement Error and Misclassification in CovariatesContact isecyy@nus.edu.sg Measurement error arises ubiquitously from various fields including health sciences, epidemiological studies, survey research, economics, and so…
Date:21 June 2019, Friday
Location:E1-06-01, Faculty of Engineering, NUS
Time:04:00PM to 05:00PM
Data Adaptive Support Vector Machine with Application to Prostate Cancer Imaging DataContact isecyy@nus.edu.sg Support vector machines (SVM) have been widely used as classifiers in various settings including pattern recognition, texture…
Date:14 June 2019, Friday
Location:S16-06-118, DSAP Seminar Room
Time:03:00pm - 04:00pm
Sequential Change-Point Procedures based on U-StatisticsThere are two different approaches in the context of change-point analysis. In the classical a-posteriori approach, a completely observed…
Date:30 May 2019, Thursday
Location:S16-06-118, Seminar Room
Time:02:00pm - 03:00pm
Almost Sure and In Probability Convergence in Randomized Urn ModelWe consider an urn model where the replacement matrices are random and may depend on past information. Such models…
Date:17 May 2019, Friday
Location:S16-06-118, Seminar Room
Time:03:00pm - 04:00pm
Change-Point Detection: Past and PresentChange-point detection had its origins about sixty years ago in the work of Page, Shiryayev, and Lorden, whose focus…
Date:26 April 2019, Friday
Location:S16-06-118, Statistics Seminar Room
Time:02:00pm - 03:00pm
On Some Nonparametric Approaches For Detecting Variable AssociationsThe relationship between random variables is always a crucial part in data analysis. Fundamentally, we are interested in testing…
Date:17 April 2019, Wednesday
Location:S16-06-118, Seminar Room
Time:03:00pm - 04:00pm
Optimal Change Point Detection and LocalisationThis talk will be a combination of 4 papers. I will start from the best-studied univariate mean change point…
Date:05 April 2019, Friday
Location:S16-06-118, Seminar Room
Time:03:00pm - 04:00pm
Intrinsic Riemannian Functional Data AnalysisIn this work we develop a new foundational framework for analyzing Riemannian functional data, including intrinsic Riemannian functional principal…
Date:03 April 2019, Wednesday
Location:S16-06-118, Seminar Room
Time:03:00pm - 04:00pm
Multiplier Processes in Statistics: A New Multiplier Inequality and ImplicationsMultiplier empirical processes have proved to be one of the key unifying themes in modern empirical process theory, with…
Date:27 March 2019, Wednesday
Location:S16-06-118, Seminar Room
Time:03:00pm - 04:00pm
Use of Model Reparametrization to Improve Variational BayesWe propose using model reparametrization to improve variational Bayes inference for a class of models whose variables can be classified…