Seminars


Filter by
Jump to
Search

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

Date:26 January 2018, Friday

Location:S16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

Tackling Protein Folding with Data Science: Fast Exploration of Conformations with Sequential Monte Carlo

  The problem of predicting the 3-D structure of a protein from its amino acid sequence using computer algorithms has…

Dr Samuel W K Wong University of Florida

Date:25 January 2018, Thursday

Location:S16-05-96, Computer Lab 4

Time:03:00pm - 04:00pm

Sequential Monte Carlo for Bayesian Inference

  PHD ORAL PRESENTATION: Hidden Markov models are a class of statistical models that are widely used in a variety…

Mr Deborshee Sen National University of Singapore

Date:22 January 2018, Monday

Location:S16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

Some New Foundational Principles and Fast Algorithms in Data Analytics

  Rapid developments in communications, networking, AI robots, 3D printing, genomics, blockchain, novel materials, and powerful computation platforms are rapidly…

Dr Jie Ding Harvard University

Date:17 January 2018, Wednesday

Location:S16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

Big Data in Computer Experiments

  Big data is everywhere. In computer experiments, it’s being used to emulate complex systems being simulated in computer codes….

Dr Chih-Li Sung Georgia Institute of Technology
Page 20 of 23