Customer Churn Intelligence
Event Customer Churn Intelligence Carol Anne Hargreaves Department of Statistics and Applied Probabilty Date: 11 April 2018, Wednesday Location: 03:00pm – 04:00pm Time:
Event Customer Churn Intelligence Carol Anne Hargreaves Department of Statistics and Applied Probabilty Date: 11 April 2018, Wednesday Location: 03:00pm – 04:00pm Time:
Event Principle of Correlation and Feature Selection in High-Dimensional Prof Chen Zehua Department of Statistics and Applied Probability, NUS Date: 04 April 2018, Wednesday
Event Modeling and Inference of Local Stationarity Prof Hsing Tailen Saw Swee Hock Professor of Statistics, NUS and Michael B. Woodroofe Collegiate Professor of Statistics,
Event Distributed Kriging for Massive Spatial Data Dr Li Cheng Department of Statistics & Applied Probability, NUS Date: 21 March 2018, Wednesday Location:
Event Measures of University Research Output and Resource Usage Efficiency Dr Alona Zharova Humboldt Universitaet zu Berlin Date: 28 February 2018, Wednesday Location:
Event Robust Causal Inference from Integrated Genomics Data Dr Baoluo Sun Genome Institute of Singapore Date: 31 January 2018, Wednesday Location: S16-06-118, DSAP
Event Tackling Protein Folding with Data Science: Fast Exploration of Conformations with Sequential Monte Carlo Dr Samuel W K Wong University of Florida Date:
Event Sequential Monte Carlo for Bayesian Inference Mr Deborshee Sen National University of Singapore Date: 25 January 2018, Thursday Location: S16-05-96, Computer Lab
Event Some New Foundational Principles and Fast Algorithms in Data Analytics Dr Jie Ding Harvard University Date: 22 January 2018, Monday Location: S16-06-118,
Event Big Data in Computer Experiments Dr Chih-Li Sung Georgia Institute of Technology Date: 17 January 2018, Wednesday Location: S16-06-118, DSAP Seminar Room
Event A Two-Stage Design for Comparative Clinical Trials: The Heteroscedastic Solution Dr Pinyuen Chen Syracuse University, NY, USA Date: 10 January 2018, Wednesday
Event Controlled Sequential Monte Carlo Prof Arnaud Doucet Oxford University Date: 10 January 2018, Wednesday Location: S16-06-118, DSAP Seminar Room Time: 04:30pm –

December 2017 – NUS statisticians have developed the Regularised Text Logistic (RTL) regression model to extract informative word features from digital text for decision-making.
Event On Steady-State Performance Characteristics of Control Charts -Meaning and Numerics Professor Sven Knoth Helmut Schmidt University Hamburg, Germany Date: 06 December 2017, Wednesday
Event Statistical Learning of Ultra High-Dimensional Potts Models in Genomics Professor Jukka Corander University of Oslo Date: 04 December 2017, Monday Location: 03:00pm
Event Models for Imputing Non-ignorable Missing Data, Professor Donald B. Rubin Harvard University Date: 24 November 2017, Friday Location: 03:00pm – 04:00pm Time:
Event Some new methods for supervised classification for functional data Miss Zhu Tianming Department of Statistics and Applied Probability, NUS Date: 21 November 2017,
Event Change-point Detection and Estimation Professor David Siegmund Stanford University Date: 15 November 2017, Wednesday Location: S16-06-118, DSAP Seminar Room Time: 03:00pm –
Event Maximum Smoothed Likelihood Density Estimation in Two-Sample Mixture Data with Likelihood Ratio Ordering Miss Yu Jiadong Department of Statistics and Applied Probability Date:
Event Inference in Differentiable Generative Models Mr Matt Graham Department of Statistics and Applied Probability Date: 08 November 2017, Wednesday Location: S16-06-118, DSAP