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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

Date:03 November 2017, Friday

Location:BIZ 1, Mochtar Riady Building, Excellence-3b(Seminar Room 3-2)

Time:10:00am - 11:30pm

Computational Integer Optimisation and Applications

Contact Associate Professor Ying Chen, Department of Statistics and Applied Probability, NUS   The lecture will give an introduction to Mathematical…

Professor Thorsten Koch Zuse Institute Berlin

Date:Wednesday 01 November 2017

Location:S16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

Hypothesis Testing in High-Dimensional Linear Regression:

  In this talk, we consider a general linear hypothesis testing (GLHT) problem in high-dimensional linear regression where the data…

Assoc Prof Zhang Jin-Ting Department of Statistics and Applied Probability, NUS

Date:25 October 2017, Wednesday

Location:S16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

Sequential Statistics, Adaptive Design and Clinical Trials

  There are currently over 44,000 clinical trials being conducted worldwide according to the registry clinicaltrial.gov. These are very expensive,…

Professor Bruce Turnbull Cornell University

Date:11 October 2017, Wednesday

Location:S16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

Hamiltonian Monte Carlo In Bayesian Empirical Likelihood Computation

  We consider Bayesian empirical likelihood estimation and develop an efficient Hamiltonian Monte Carlo method for sampling from the posterior…

Assoc. Professor Sanjay Chaudhuri National University of Singapore

Date:02 October 2017, Monday

Location:S16-05-96, Computer Lab 4

Time:11:00am - 12:00pm

Hazards Regression for Freemium Products and Services: A Competing Risks Approach

  We proposed a competing risks approach to analyze customer behaviors in freemium products and services. The event of interest…

Mr Chen Dacheng Department of Statistics and Applied Probability, National University of Singapore
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