January 2017 – NUS statisticians have developed adaptive functional time series models that improve the forecast accuracy of complex data.
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.