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Date:20 June 2018, Wednesday

Location:S16-06-118, Statistics Seminar Room

Time:03:00pm - 04:00pm

The GUIDE Approach to Missing Data

  GUIDE is a classification and regression tree algorithm that can be used in many missing data settings. For prediction…

Professor Wei-Yin Loh University of Wisconsin

Date:23 May 2018, Wednesday

Location:S17 #04-06 Mathematics Seminar Room 1, Faculty of Science

Time:10:30am - 11:30am

Max-linear Models on Graphs

  Graphical models are a popular tool to analyse and visualise dependence properties between random variables; see e.g. Lauritzen (1996)….

Professor Claudia Kluppelberg Technical University of Munich

Date:23 April 2018, Monday

Location:S16-05-96, Computer Lab 4

Time:11:00am - 12:00pm

Multilevel Particle Filters For Continuous Time Processes

  PHD ORAL PRESENTATION In recent times, practical problems of interest such as continuous time processes and its applications have…

Osei Prince Peprah Department of Statistics and Applied Probabilty

Date:18 April 2018, Wednesday

Location:S16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

A Central Limit Theorem for Sequential MCMC Methods

  We present a theoretical analysis of a class of particle filters (PFs), which differ from conventional PFs in the…

Dr Axel Finke Department of Statistics and Applied Probability, NUS

Date:11 April 2018, Wednesday

Location:03:00pm - 04:00pm

Time:S16-06-118, DSAP Seminar Room

Customer Churn Intelligence

  A Case Study Approach: Retaining customers with high churn risk is one of the toughest challenges in the telecommunication…

Carol Anne Hargreaves Department of Statistics and Applied Probabilty

Date:04 April 2018, Wednesday

Location:S16-06-118, DSAP Seminar Room

Time:04:00pm - 05:00pm

Principle of Correlation and Feature Selection in High-Dimensional

  The intrinsic mechanism of feature selection for linear models is correlation. For instance, invarious sequential methods, the features are…

Prof Chen Zehua Department of Statistics and Applied Probability, NUS

Date:28 March 2018, Wednesday

Location:S16-06-118, DSAP Seminar Room

Time:02:00pm - 03:00pm

Modeling and Inference of Local Stationarity

  Stationarity is a common assumption in spatial statistics. The justification is often that stationarity is a reasonable approximation to…

Prof Hsing Tailen Saw Swee Hock Professor of Statistics, NUS and Michael B. Woodroofe Collegiate Professor of Statistics, University of Michigan

Date:21 March 2018, Wednesday

Location:S16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

Distributed Kriging for Massive Spatial Data

  Flexible hierarchical Bayesian modeling of massive data is challenging due to poorly scaling computations in large sample size. This…

Dr Li Cheng Department of Statistics & Applied Probability, NUS

Date:28 February 2018, Wednesday

Location:S16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

Measures of University Research Output and Resource Usage Efficiency

  The management of universities demands data on teaching and research. While teaching parameters can be measured via student performance…

Dr Alona Zharova Humboldt Universitaet zu Berlin

Date:31 January 2018, Wednesday

Location:S16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

Robust Causal Inference from Integrated Genomics Data

  The proliferation of genomics data and broad adoption of health information systems such as electronic medical records in the…

Dr Baoluo Sun Genome Institute of Singapore
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