Date:14 November 2023, Tuesday
Location:ZOOM Link: https://nus-sg.zoom.us/j/82941640497?pwd=d3ROczJTZC9aN2FueEZlcDM0Tmh4UT09
Time:9 am, Singapore
An Exact Sampler for Inference after Polyhedral SelectionAbstract The exploratory and interactive nature of modern data analysis often introduces selection bias and poses challenges to traditional statistical…
Date:15 November 2023, Wednesday
Location:S16-06-118, Seminar Room
Time:3 pm, Singapore
The Block-Correlated Pseudo Marginal Sampler for State Space ModelsAbstract Particle Marginal Metropolis-Hastings (PMMH) is a general approach to Bayesian inference when the likelihood is intractable, but can be…
Date:3 November 2023, Friday
Location:S16-04-30
Time:10 am, Singapore
Application Of Multivariate Central Limit Theorem In Fingerprint Distribution And Centred Subgraph CountAbstract This thesis consists of two separate projects: Total variation approximation of fingerprint distribution, and statistical analysis of centred subgraph…
Date:25 October 2023, Wednesday
Location:S16-06-118, Seminar Room
Time:4 pm, Singapore
Spectral clustering in the geometric block modelAbstract Gaussian mixture block models are distributions over graphs that strive to model modern networks: to generate a graph from…
Date:10 May 2023, Wednesday
Location:S16-06-118, Seminar Room
Time:3 pm, Singapore
High-dimensional learning in the presence of low-dimensional structure: a spiked random matrix perspectiveAbstract The spiked random matrix is a classical statistical model describing a low-dimensional signal “hidden” in high-dimensional noise. In this…
Date:9 May 2023, Tuesday
Location:S16-06-118, Seminar Room
Time:3 pm, Singapore
Nonparametric methods to deal with quantile regression problems in time series and spatio-temporal settingsAbstract In this talk, we are going to discuss nonparametric methods to tackle two types of quantile regression problems that…
Date:12 April 2023, Wednesday
Location:S16-06-118, Seminar Room
Time:3 pm, Singapore
Concentration of tempered posteriors and of their variational approximationsAbstract While Bayesian methods are extremely popular in statistics and machine learning, their application to massive data sets is often…
Date:24 March 2023, Friday
Location:S16-06-118, Seminar Room
Time:12.30 pm, Singapore
The synthetic instrumentAbstract In many observational studies, researchers are interested in studying the effects of multiple exposures on the same outcome. Unmeasured…
Date:16 February 2023, Thursday
Location:Zoom Link- https://nus-sg.zoom.us/j/89624948342?pwd=eGN2TDNvT3dvek5IRFFERWR5TGJUQT09
Time:11 am, Singapore
Challenges of Learning Under Different Levels of Supervision for Images and VideosAbstract Deep Neural Networks (DNNs) have performed outstandingly in several computer vision tasks. However, the performance of DNNs has always…
Date:3 February 2023, Friday
Location:S16-05-102, Computer Lab 2
Time:3 pm, Singapore
Prediction and InferenceAbstract There has been tremendous recent progress in the development of prediction models, but statistical inference on parameters of interest…