Date:28 November 2023, Tuesday
Location:S17-04-06
Time:10 am, Singapore
Nonparametric Instrumental Two-Stage ModelIn contemporary research, there exists a wide range of theories and techniques that can be utilized to estimate causal effects…
Date:1 December 2023, Friday
Location:S17-04-06
Time:10 am, Singapore
Manifold Fitting And Generative Neural NetworksIn the realm of classical statistics, the focus has traditionally been on handling observations that can be represented as real…
Date:17 November 2023, Friday
Location:S16-06-118, Seminar Room
Time:3 pm, Singapore
Adaptive functional principal components analysisAbstract Functional data analysis (FDA) almost always involves smoothing discrete observations into curves, because they are never observed in continuous…
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…