Seminars


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Date:30 January 2023, Monday

Location:S16-05-102, Computer Lab 2

Time:9 am, Singapore

Bayesian computation and learning of substructures in Gaussian graphical models

Abstract Gaussian graphical models are a powerful tool to learn the conditional independence structure in multivariate data with inference often…

Dr Willem van den BoomYong Loo Lin School of Medicine, National University of Singapore

Date:25 January 2023, Wednesday

Location:S16-06-118, Seminar room

Time:2.30 pm, Singapore

Variational Bayes for fast and accurate empirical likelihood inference

Abstract Empirical likelihood-based inference incorporates the advantages of both parametric and nonparametric modeling by allowing inference on parameters of the…

Dr Yu WeichangMelbourne Centre for Data Science, University of Melbourne, Australia

Date:18 January 2023, Wednesday

Location:S16-06-118, Seminar room

Time:2.30 pm, Singapore

Filtrated Common Functional Principal Component Analysis of Multi-group Functional data

Abstract Local field potentials (LFPs) are signals that measure electrical activity in localized cortical regions from implanted tetrodes in the…

Dr Jiao ShuhaoThe Chinese University of Hong Kong

Date:17 January 2023, Tuesday

Location:ZOOM Link: https://nus-sg.zoom.us/j/87927775071?pwd=QisxZU14NXFQQU8zNC9jM0s5Y0NxUT09

Time:9 am, Singapore

Statistical analysis for complex microbiome data

Abstract The quantification of microbiome using next-generation sequencing technologies has sparked intense interest in the study of the human microbiome…

Dr Shi PixuDepartment of Biostatistics and Bioinformatics, Duke University

Date:16 January 2023, Monday

Location:S16-06-118, Seminar room

Time:2.30 pm, Singapore

Stereographic Markov chain Monte Carlo

Abstract High dimensional distributions, especially those with heavy tails, are notoriously difficult for off-the-shelf MCMC samplers: the combination of unbounded…

Dr Yang JunDepartment of Statistics, University of Oxford

Date:12 January 2023, Thursday

Location:S16-06-118, Seminar room

Time:4-5 pm, Singapore

Shape of Functional Data

Abstract Qualitative descriptions of the shape of a function (e.g., convex, monotone, bimodal) and their use in assessing methodological tools…

Dr Karthik BharathUniversity of Nottingham

Date:11 January 2023, Wednesday

Location:S16-06-118, Seminar room

Time:3-4 pm, Singapore

Data Science Pedagogy at UC Berkeley: Teaching with interactive notebooks at scale, and extensions to Economics

Abstract UC Berkeley is pioneering a broad-based and inclusive undergraduate approach to teaching Data Science. In a few short years…

Dr Eric Van DusenUniversity of California, Berkeley

Date:9 January 2023, Monday

Location:S16-06-118, Seminar room

Time:2.30-3.30 pm, Singapore

On Universally Consistent and Fully Distribution-Free Rank Tests of Vector Independence

Abstract Rank correlations have found many innovative applications in the last decade. In particular, suitable rank correlations have been used…

Dr Hongjian ShiTechnical University of Munich

Date:24 November 2022, Thursday

Location:ZOOM: https://nus-sg.zoom.us/j/81008167804?pwd=T2ZoRFhrejl2ZUNZVEdqcjVEUXI4Zz09

Time:9-10 am, Singapore

Latent Structures in Large-scale Networks with Censored Data

Abstract Recovering latent structures is a key unsupervised learning task in network data, with applications spanning a multitude of disciplines….

Dr Souvik DharaUniversity of California, Berkeley

Date:17 November 2022, Thursday

Location:ZOOM: https://nus-sg.zoom.us/j/88037797765?pwd=ekpibHFOdHBnUXhlN0c2TzdxaDZyQT09

Time:10-11 am, Singapore

Local inference in longitudinal drift-diffusion mixed models for tone learning in adults (and related problems)

Abstract Learning to make categorization decisions is important in almost all aspects of our lives. Understanding how we learn novel…

Dr Abhra SarkarThe University of Texas at Austin
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