Seminars


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Date:6 October 2021, Wednesday

Location:ZOOM: https://nus-sg.zoom.us/j/82677473540?pwd=UFRmckVlZ2RydG5ZaEk0a0FkdGNIdz09

Time:10am-11am, Singapore

Empirical Frequency Band Analysis of Nonstationary Time Series

The time-varying power spectrum of a time series process is a bivariate function that quantifies the magnitude of oscillations at…

Professor Robert KraftyDepartment of Biostatistics & Bioinformatics, Emory University

Date:15 September 2021, Wednesday

Location:ZOOM: https://nus-sg.zoom.us/j/87221252162?pwd=S0xzQklCdyt0VStWY0twTmVFYXVNdz09

Time:3pm-4pm, Singapore

Double data piling and negatively ridged classifiers in high dimensions

Data piling refers to the phenomenon that training data vectors from each class project to a single point for classification….

Associate Professor Sungkyu JungDepartment of Statistics, Seoul National University

Date:9 September 2021, Thursday

Location:ZOOM: https://nus-sg.zoom.us/j/83430142299?pwd=SHJuVlNYSWtVeFB0U3hQZVpmUjJXUT09

Time:10am-11am, Singapore

The Citation Behavior of Statisticians

We collected and cleaned a data set consisting of the bibtex and citation data of 83k papers published in 36…

Professor Jiashun JinDepartment of Statistics and Data Science, Carnegie Mellon University

Date:25 August 2021, Wednesday

Location:ZOOM: https://nus-sg.zoom.us/j/84620486674?pwd=Skhra1FieHJobEJhMkxna1lhVC9tQT09

Time:10:00am - 11:00am, Singapore time

High Dimensional QDA when the Signals are Rare and Weak.

Consider a two-class classification problem where we observe samples generated from groups 0 and 1. Suppose a new sample from the…

Dr Wang WanjieDepartment of Statistics and Data Science, NUS

Date:18 August 2021, Wednesday

Location:ZOOM: https://nus-sg.zoom.us/j/85483215533?pwd=OGpyR281Q3U1SXk3bENpRkJjeWVxUT09

Time:10:00am - 11:00am, Singapore time

Algorithmic Properties of Large Sample Covariance Matrices

The last two decades have witnessed the rapid development of large dimensional matrices in probability and statistics. A lot of…

Dr Xiucai DingUniversity of California, Davis

Date:11 August 2021, Wednesday

Location:ZOOM: https://nus-sg.zoom.us/j/83733599303?pwd=ZGhJYVMxUTltWVZqT2ZoTTlOOGhQZz09

Time:10:00am - 11:00am, Singapore time

Divide-and-Conquer Bayesian Inference in Hidden Markov Models

This talk is about Divide-and-conquer Bayesian inference in models for dependent data. Divide-and-conquer Bayesian methods consist of three steps: dividing…

Dr Sanvesh SrivastavaUniversity of Iowa

Date:8 April 2021, Thursday

Location:ZOOM: https://nus-sg.zoom.us/j/86711359893?pwd=YW1TNHNGZFFoa0JQeHd5N1Q4SFA0Zz09

Time:10:00am - 11:00am, Singapore time

High-Dimensional Variable Screening and Dimension Reduction and Their Applications To Classification

PhD Oral Presentation Feature selection and dimension reduction are the most popular approaches in analysing high dimensional data.  The sure…

Mr Cai ZhiboDepartment of Statistics and Applied Probability, NUS

Date:22 March 2021, Monday

Location:ZOOM: https://nus-sg.zoom.us/j/83138152920?pwd=MDFCKzgxQi9vQnR5ZDVUODM0eTFFQT09

Time:3:00pm - 4:00pm, Singapore time

Feature Selection in High-dimensional Models and Interpreting Deep Neural Networks

PhD Oral Presentation Feature selection is a fundamental method in many scientific discoveries in recent decades ranging from statistical analysis…

Ms Zhang AnDepartment of Statistics and Applied Probability, NUS

Date:9 March 2021, Tuesday

Location:ZOOM: https://nus-sg.zoom.us/j/83108345056?pwd=cmp5WlJiTzhtb29jMFFKaENKaTZ0QT09

Time:2:00pm - 3:00pm, Singapore time

Statistical Inference For Decision Curve Analysis and Decision Threshold For Statistical Learning in Medical Research

PhD Oral Presentation Statistical learning methods are widely used in medical literature for the purpose of diagnosis or risk prediction….

Ms Sumaiya Zakirhusen SandeDepartment of Statistics and Applied Probability, NUS

Date: 24 November 2020, Tuesday

Location:ZOOM: https://nus-sg.zoom.us/j/84128383823?pwd=Wi9aNVVlY1czM1FJYTR5ZDZpVG5sQT09

Time:3:00pm - 4:00pm, Singapore time

Bayesian Inference For Latent Variable Models

Bayesian inference is a very popular and effective methodology for statistical modeling. One common problem that arises in Bayesian inference…

Mr Deng LuDepartment of Statistics and Applied Probability, NUS
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