Seminars
Inference for dynamical systems
February 2017 – NUS statisticians have gained insights which allow for better prediction of physical phenomena.
February 2017 – NUS statisticians have gained insights which allow for better prediction of physical phenomena.
Event Topic-Adjusted Visibility Metric for Scientific Articles Dr Tan Siew Li, Linda Department of Statistic and Applied Probability, NUS Date: 15 February 2017, Wednesday
Event How the Swine Flu Epidemic Spread: Understanding the Data with an Equilibrium Vigilance Model A/Professor Jussi Keppo Department of Decision Sciences, NUS Business School
Event Estimating Causal Effects via Joint Confounder Selection and Balancing A/Professor Li Bo Department of Management Science and Engineering Date: 06 February 2017, Monday
Event Adaptation in Shape Constrained Regression A/Professor Bodhisattva Sen Columbia University Date: 25 January 2017, Wednesday Location: S16-06-118, DSAP Seminar Room Time: 04:00pm
January 2017 – NUS statisticians have developed a method to estimate unknown parameters efficiently for modelling complex situations.
January 2017 – NUS statisticians have developed adaptive functional time series models that improve the forecast accuracy of complex data.
Event Models for Spatial and Spatio-Temporal Stochastic Volatility Ms Michele Nguyen Imperial College London, UK Date: 11 January 2017, Wednesday Location: S16-06-118, DSAP
November 2016 – NUS mathematicians have developed an efficient and stable numerical method to solve fluid structure interaction problems involving large convections of fluid and near-contact of structures.
November 2016 – NUS mathematicians have developed an unbiased and consistent estimator for counting motifs (patterns) of gene regulatory relationships.
August 2016 – NUS mathematicians have formulated an equation for designing efficient memory allocation techniques for computer systems.
July 2016 – NUS statisticians have developed a model which accounts for hidden factors and their effects for improved accuracy from economic data.
June 2016 – NUS scientists have developed research which establishes the correctness of numerical methods used for important statistical applications.
April 2016 – Mathematicians in NUS have developed a new theory and technique for database query optimisation.
August 2015 – Mathematicians in NUS have developed computational methods to explore how microstructures affect the condensation of vapour onto a surface.
August 2015 – NUS statisticians reported that Glomerular filtration rates estimation using a self-directed 24-hour urine creatinine clearance is less accurate.
May 2015 – NUS statisticians developed a highly improved risk-adjusted procedure for monitoring the performance of surgeons.
May 2015 – NUS statistician has developed a new approach for analysing shape dynamics.
October 2014 – NUS researchers developed a new Bayesian statistical model that can be used for classifying acute leukemia.
August 2014 – NUS professors have demonstrated the feasibility of computational algorithms in high-dimensions.