A Two-Stage Design for Comparative Clinical Trials: The Heteroscedastic Solution
Event A Two-Stage Design for Comparative Clinical Trials: The Heteroscedastic Solution Dr Pinyuen Chen Syracuse University, NY, USA Date: 10 January 2018, Wednesday
Event A Two-Stage Design for Comparative Clinical Trials: The Heteroscedastic Solution Dr Pinyuen Chen Syracuse University, NY, USA Date: 10 January 2018, Wednesday
Event Controlled Sequential Monte Carlo Prof Arnaud Doucet Oxford University Date: 10 January 2018, Wednesday Location: S16-06-118, DSAP Seminar Room Time: 04:30pm –
December 2017 – NUS statisticians have developed the Regularised Text Logistic (RTL) regression model to extract informative word features from digital text for decision-making.
Event On Steady-State Performance Characteristics of Control Charts -Meaning and Numerics Professor Sven Knoth Helmut Schmidt University Hamburg, Germany Date: 06 December 2017, Wednesday
Event Statistical Learning of Ultra High-Dimensional Potts Models in Genomics Professor Jukka Corander University of Oslo Date: 04 December 2017, Monday Location: 03:00pm
Event Models for Imputing Non-ignorable Missing Data, Professor Donald B. Rubin Harvard University Date: 24 November 2017, Friday Location: 03:00pm – 04:00pm Time:
Event Some new methods for supervised classification for functional data Miss Zhu Tianming Department of Statistics and Applied Probability, NUS Date: 21 November 2017,
Event Change-point Detection and Estimation Professor David Siegmund Stanford University Date: 15 November 2017, Wednesday Location: S16-06-118, DSAP Seminar Room Time: 03:00pm –
Event Maximum Smoothed Likelihood Density Estimation in Two-Sample Mixture Data with Likelihood Ratio Ordering Miss Yu Jiadong Department of Statistics and Applied Probability Date:
Event Inference in Differentiable Generative Models Mr Matt Graham Department of Statistics and Applied Probability Date: 08 November 2017, Wednesday Location: S16-06-118, DSAP
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.