Seminars


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Date:10 January 2018, Wednesday

Location:S16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

A Two-Stage Design for Comparative Clinical Trials: The Heteroscedastic Solution

  We consider a hybrid selection and testing design for comparing the means of several experimental normal populations among themselves…

Dr Pinyuen Chen Syracuse University, NY, USA

Date:10 January 2018, Wednesday

Location:S16-06-118, DSAP Seminar Room

Time:04:30pm - 05:30pm

Controlled Sequential Monte Carlo

  Sequential Monte Carlo (SMC) methods are a set of simulation-based techniques used to approximate high-dimensional probability distributions and their…

Prof Arnaud Doucet Oxford University

Date:06 December 2017, Wednesday

Location:S-16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

On Steady-State Performance Characteristics of Control Charts -Meaning and Numerics

  At first sight, the defination of a reasonable steady-state measure of control chart detection performance seems to be both…

Professor Sven Knoth Helmut Schmidt University Hamburg, Germany

Date:04 December 2017, Monday

Location:03:00pm - 04:00pm

Time:S16-06-118, DSAP Seminar Room

Statistical Learning of Ultra High-Dimensional Potts Models in Genomics

  The potential for genome-wide modeling of epistasis has recently surfaced given the possibility of sequencing densely sampled populations and…

Professor Jukka Corander University of Oslo

Date:24 November 2017, Friday

Location:03:00pm - 04:00pm

Time:S16-06-118, DSAP Seminar Room

Models for Imputing Non-ignorable Missing Data,

  There are two relatively standard approaches for imputing missing data, one based on “selection” models and one based on…

Professor Donald B. Rubin Harvard University

Date:21 November 2017, Tuesday

Location:S16-05-96, Computer Lab 4

Time:02:00pm - 03:00pm

Some new methods for supervised classification for functional data

  Phd Oral Presentation Functional data are getting prevalent in many research and industrial fields in recent decades. It is…

Miss Zhu TianmingDepartment of Statistics and Applied Probability, NUS

Date:15 November 2017, Wednesday

Location:S16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

Change-point Detection and Estimation

  I will discuss detection and estimation of local signals, represented by changes in a sequence of observations. Changes can…

Professor David Siegmund Stanford University

Date:08 November 2017, Wednesday

Location:S16-05-96, Computer Lab 4

Time:11:00am - 12:00pm

Maximum Smoothed Likelihood Density Estimation in Two-Sample Mixture Data with Likelihood Ratio Ordering

  PHD ORAL PRESENTATION In modern scientific research, data with mixture structure have been frequently identified in various research areas,…

Miss Yu Jiadong Department of Statistics and Applied Probability

Date:08 November 2017, Wednesday

Location:S16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

Inference in Differentiable Generative Models

  Standard approximate inference methods such as Markov chain Monte Carlo (MCMC) and variational inference require access to a density…

Mr Matt Graham Department of Statistics and Applied Probability

Date:07 November 2017, Tuesday

Location:S16-05-96, Computer Lab 4

Time:11:00am - 12:00pm

Improvement Screening for Ultra-High Dimensional Data with Censored Survival Outcomes and Varying Coefficients

PHD ORAL PRESENTATION Motivated by risk prediction studies with ultra-high dimensional bio markers, we propose a novel improvement screening methodology….

Ms Yue Mu Department of Statistics and Applied Probability, NUS
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