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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

Date:16 November 2022, Wednesday

Location:S16-06-118, Seminar room

Time:3-4 pm, Singapore

Regression modeling using I-priors

Abstract Regression analysis is undoubtedly an important tool to understand the relationship between one or more explanatory and independent variables…

Dr Haziq JamilUniversiti Brunei Darussalam

Date:15 November 2022, Tuesday

Location:S16-06-118, Seminar room

Time:3-4 pm, Singapore

Variational Inference for Singular Models via Resolution of Singularities

Abstract Singular statistical models, ubiquitous in modern deep learning, lack identifiability and a positive definite Fisher information matrix. Motivated by…

Dr Susan WeiUniversity of Melbourne

Date:27 October 2022, Thursday

Location:ZOOM: https://nus-sg.zoom.us/j/84902640909?pwd=UnRicStxZHEvd1l0Y1V0TW1UNm5Rdz09

Time:10-11 am, Singapore

Approximate Inference For Complex Models

Bayesian methods are attractive for large datasets and complex models. However, in complicated settings, Bayesian computation is challenging with conventional…

Ms. Yu XuejunDepartment of Statistics and Data Science, NUS
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