April 2018 – NUS statistician have developed a metric that automatically accounts for citation variations in different disciplines for measuring the research merit of scientific articles.
December 2017 – NUS statisticians have developed the Regularised Text Logistic (RTL) regression model to extract informative word features from digital text for decision-making.
October 2017 – NUS statisticians have developed an efficient method for comparing multi-group high-dimensional data.
September 2017 – NUS statistician has proposed a new Monte Carlo method that is computationally more effective for quantifying uncertainty.
September 2017. NUS mathematicians have proposed improvements to a well-known optimisation algorithm to significantly boost its computational efficiency.
August 2017 – NUS statisticians have developed a better methodology to study user behaviour for freemium products and services.
July 2017 – NUS mathematician has revealed ways which can lead to more accurate weather predictions.
February 2017 – NUS mathematicians have developed effective methods for modelling real-life problems with monotone density ratio conditions.
February 2017 – NUS statisticians have gained insights which allow for better prediction of physical phenomena.
January 2017 – NUS statisticians have developed a method to estimate unknown parameters efficiently for modelling complex situations.
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