Event Nonparametric Estimation of Private Value Densities in Ascending Auctions and Generalized Competing Risks Model (Joint work with Oliver Linton and Tatiana Komarova) Prof Sorawoot
Event Instrumental Estimation with Data Missing Not at Random Dr Sun Baoluo Genome Institute of Singapore Date: 20 September 2017, Wednesday Location: S16-06-118
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.
Event Spectrum Estimation for High-Dimensional Time Series with Applications Professor Debashis Paul University of California, Davis Date: 13 September 2017, Wednesday Location: S16-06-118,
Event An Introduction to Stochastic Filtering and Optimal Control Dr Zhang Shuaiqi Department of Statistics and Applied Probability, NUS Date: 06 September 2017, Wednesday
August 2017 – NUS statisticians have developed a better methodology to study user behaviour for freemium products and services.
Event Generating Long-Term Wind Scenarios Condtioned on Sequential Short-Term Forecasting Using LTM Mr Kyle Perline School of Civil & Environmental Engineering, Cornell University Date:
July 2017 – NUS mathematician has revealed ways which can lead to more accurate weather predictions.
Event Modeling disease propagation in networks: Source-finding and influence maximization Professor Po-Ling Loh University of Wisconsin, Madison Date: 03 July 2017, Monday Location:
Event Homotopy theory of complete Lie algebras Prof Michel Waldschmidt Université Pierre et Marie Curie Paris 6 Date: 26 June 2017, Monday Location:
Event Statistically and Numerically Efficient Independence Test Prof Gang Li Department of Biostatistics and Biomathematics, University of Los Angeles at California Date: 08 June
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.
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.
