Event Improvement Screening for Ultra-High Dimensional Data with Censored Survival Outcomes and Varying Coefficients Ms Yue Mu Department of Statistics and Applied Probability, NUS
Event Computational Integer Optimisation and Applications Professor Thorsten Koch Zuse Institute Berlin Date: 03 November 2017, Friday Location: BIZ 1, Mochtar Riady Building,
Event Hypothesis Testing in High-Dimensional Linear Regression: Assoc Prof Zhang Jin-Ting Department of Statistics and Applied Probability, NUS Date: Wednesday 01 November 2017
Event Sequential Statistics, Adaptive Design and Clinical Trials Professor Bruce Turnbull Cornell University Date: 25 October 2017, Wednesday Location: S16-06-118, DSAP Seminar Room
October 2017 – NUS statisticians have developed an efficient method for comparing multi-group high-dimensional data.
Event Hamiltonian Monte Carlo In Bayesian Empirical Likelihood Computation Assoc. Professor Sanjay Chaudhuri National University of Singapore Date: 11 October 2017, Wednesday Location:
Event Hazards Regression for Freemium Products and Services: A Competing Risks Approach Mr Chen Dacheng Department of Statistics and Applied Probability, National University of Singapore
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.
