Date:13 August 2024, Tuesday
Location:S16-06-118, Seminar Room
Time:2pm, Singapore
On the statistical foundations of h-likelihood for unobserved random variablesThe maximum likelihood estimation is widely used for statistical inferences. This paper aims to extend the classical likelihood theory to…
Date:07 August 2024, Wednesday
Location:S16-06-118, Seminar Room
Time:3pm, Singapore
Being Bayesian in the backyard of astrophysicistsThis talk will present my research journey in Bayesian methods inspired by gravitational wave problems. Firstly, I will present recent developments in…
Date:17 July 2024, Wednesday
Location:S16-06-118, Seminar Room
Time:3pm, Singapore
Estimate Vaccine Efficacy with Time-to-Infection DataThe COVID-19 pandemic has caused significant morbidity and mortality, as well as social and economic disruption worldwide. In order to…
Date:24 April 2024, Wednesday
Location:S16-06-118, Seminar Room
Time:3pm, Singapore
Cognitively Inspired machine learning for biomedical sciencesOur team at National University of Singapore utilizes newest discovery from cognitive sciences especially consciousness related knowledge to inspire next…
Date:15 April 2024, Monday
Location:S16-0304
Time:3pm, Singapore
SEMIPARAMETRIC METHODS FOR NONIGNORABLE MISSING DATA AND CAUSAL MODELSA statistical model fitted on some observed data represents and explains the mechanism underlying the data generation process. These models…
Date:08 April 2024, Monday
Location:S16-03-06
Time:3pm, Singapore
Introducing the specificity score: a measure of causality beyond P valueThere is considerable debate about P value in scientific research and its use is banished in several prestigious journals in…
Date:03 April 2024, Wednesday
Location:S16-06-118, Seminar Room
Time:3pm, Singapore
Bayesian modeling for individual-level fMRI analysisSince its advent in the early 1990s, functional magnetic resonance imaging (fMRI) has revolutionized cognitive neuroscience by providing a non-invasive…
Date:26 March 2024, Tuesday
Location:S16-03-06
Time:3pm, Singapore
Distributionally Robust Halfspace DepthTukey’s halfspace depth can be seen as a stochastic program and as such it is not guarded against optimizer’s curse,…
Date:9 April 2024, Tuesday
Location:S16-07-107
Time:10-11 am, Singapore
LIKELIHOOD-BASED METHOD AND ITS APPLICATIONLikelihood method is a key technique in the realm of statistical inference, particularly when dealing with intricate models that encompass…
Date:13 March 2024, Wednesday
Location:S16-06-118, Seminar Room
Time:3pm, Singapore
Spatial Homogeneity Learning via Nonparametric Bayesian MethodsIn this talk, I will introduce two novel nonparametric Bayesian methods for learning spatial homogeneity patterns. Our methods have the…