OUR RESEARCH

OUR RESEARCH

Filter by
Jump to
Search
Topic-adjusted visibility metric for scientific articles
Topic-adjusted visibility metric for scientific articles

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.

Learn More
Unlocking the power of web text data
Unlocking the power of web text data

December 2017 – NUS statisticians have developed the Regularised Text Logistic (RTL) regression model to extract informative word features from digital text for decision-making.

Learn More
Statistical hypothesis testing for high-dimensional data
Statistical hypothesis testing for high-dimensional data

October 2017 – NUS statisticians have developed an efficient method for comparing multi-group high-dimensional data.

Learn More
A more efficient method for quantifying uncertainty
A more efficient method for quantifying uncertainty

September 2017 – NUS statistician has proposed a new Monte Carlo method that is computationally more effective for quantifying uncertainty.

Learn More
A practical optimisation algorithm for big data applications
A practical optimisation algorithm for big data applications

September 2017. NUS mathematicians have proposed improvements to a well-known optimisation algorithm to significantly boost its computational efficiency.

Learn More
Paying for “extras” in freemium products and services
Paying for “extras” in freemium products and services

August 2017 – NUS statisticians have developed a better methodology to study user behaviour for freemium products and services.

Learn More
What is the weather tomorrow?
What is the weather tomorrow?

July 2017 – NUS mathematician has revealed ways which can lead to more accurate weather predictions.

Learn More
Statistical inferences with monotone density ratio
Statistical inferences with monotone density ratio

February 2017 – NUS mathematicians have developed effective methods for modelling real-life problems with monotone density ratio conditions.

Learn More
Inference for dynamical systems
Inference for dynamical systems

February 2017 – NUS statisticians have gained insights which allow for better prediction of physical phenomena.

Learn More
Fast algorithms for quantifying uncertainty
Fast algorithms for quantifying uncertainty

January 2017 – NUS statisticians have developed a method to estimate unknown parameters efficiently for modelling complex situations.

Learn More
Page 1 of 3