Seminars


Filter by
Jump to
Search

Date:26 November 2018, Monday

Location:S16-06-118, Statistics Seminar Room

Time:02:00pm - 03:00pm

High-Dimensional Time Series Modeling and Forecasting With Application To High-Frequency Financial and Energy Data

  PHD ORAL PRESENTATION Modern big data contain rich information that can be used to improve the understanding and predictability…

Mr Chua Wee Song Department of Statistics and Applied Probability National University of Singapore

Date:16 November 2018, Friday

Location:S16-05-96, Computer Lab 4

Time:03:00pm - 04:00pm

Geometric MCMC for Bayesian Inverse Problems

  Bayesian Inverse Problems often involve sampling posterior distributions on infinite-dimensional function spaces. Traditional Markov chain Monte Carlo (MCMC) algorithms…

Professor Alexandros Beskos University College of London

Date:15 November 2018, Thursday

Location:S16-06-118, Seminar Room

Time:03:00pm - 04:00pm

Approximate Importance Sampling and Its Implications for Mapping Disease-Genes

  For co-segregation studies involving a large number of small affected families and commercially available SNP arrays, it is difficult…

Dr William C. L. Stewart Ohio State University

Date:14 November 2018, Wednesday

Location:S16-06-118, Seminar Room

Time:03:00pm - 04:00pm

Frequentist Expectation Propagation

  Expectation propagation is a technique from computer science for overcoming tractability obstacles in inference for Bayesian graphical models. We…

Professor Matt Wand University of Technology Sydney

Date:17 October 2018, Wednesday

Location:S16-06-118, Seminar Room

Time:03:00pm - 04:00pm

From Causal Inference to Gene Regulation

  A recent break-through in genomics makes it possible to perform perturbation experiments at a very large scale. The availability…

A/Prof Caroline Uhler Massachusetts Institute of Technology

Date:10 October 2018, Wednesday

Location:S16-06-118, Seminar Room

Time:03:00pm - 04:00pm

Phase Transitions for High Dimensional Clustering and Related Problems

  Clustering, or unsupervised learning, is a major problem in statistics with many applications. In the Big Data era, it…

Dr Wang Wanjie Department of Statistics and Applied Probability, NUS

Date:03 October 2018, Wednesday

Location:S16-06-118, Seminar Room

Time:03:00pm - 04:00pm

Doubly Robust Regression Analysis for Data Fusion

  In this talk, we will investigate the problem of making inference about a parametric model for the regression of…

Dr Sun Baoluo Department of Statistics and Applied Probability, NUS

Date:28 September 2018, Friday

Location:S16-06-118, Seminar Room

Time:04:30pm - 05:30pm

Flexible HAR Model for Realized Volatility

  The Heterogeneous Autoregressive (HAR) model is commonly used in modeling the dynamics of realized volatility. In this paper, we…

Prof Ostap Okhrin Technische Universitat Dresden

Date:21 September 2018, Friday

Location:S16-06-118, Seminar Room

Time:04:30pm - 05:30pm

Bias Correction for the Maximum Likelihood Estimator of the Extreme Value Index

  A key step in extreme value statistics is to accurately estimate the extreme value index, which characterizes the shape…

Dr Xuan Leng Department of Statistics and Applied Probability, NUS

Date:19 September 2018, Wednesday

Time:03:00pm - 04:00pm

Adaptive Community Detection via Fused l-1 Penalty

  In recent years, community detection has been an active research area in various fields including machine learning and statistics….

Dr Choi Yunjin Department of Statistics and Applied Probabilty, NUS
Page 18 of 23