High Dimensional QDA when the Signals are Rare and Weak.
Event High Dimensional QDA when the Signals are Rare and Weak. Dr Wang Wanjie Department of Statistics and Data Science, NUS Date: 25 August
Event High Dimensional QDA when the Signals are Rare and Weak. Dr Wang Wanjie Department of Statistics and Data Science, NUS Date: 25 August
Event Algorithmic Properties of Large Sample Covariance Matrices Dr Xiucai Ding University of California, Davis Date: 18 August 2021, Wednesday Location: ZOOM: https://nus-sg.zoom.us/j/85483215533?pwd=OGpyR281Q3U1SXk3bENpRkJjeWVxUT09
Event Divide-and-Conquer Bayesian Inference in Hidden Markov Models Dr Sanvesh Srivastava University of Iowa Date: 11 August 2021, Wednesday Location: ZOOM: https://nus-sg.zoom.us/j/83733599303?pwd=ZGhJYVMxUTltWVZqT2ZoTTlOOGhQZz09 Time:
Our graduate, Teo Shu Qi, a Maritime Data Scientist. Click here to read the MSC article “Conversations with a maritime data scientist”.
Congratulations to Prof Zhou Wang for being awarded 2021 IMS Fellowship. The prestigious fellowship is awarded for his significant contributions to Limit Theorem, Empiral Likelihood,
Event High-Dimensional Variable Screening and Dimension Reduction and Their Applications To Classification Mr Cai Zhibo Department of Statistics and Applied Probability, NUS Date: 8
Event Feature Selection in High-dimensional Models and Interpreting Deep Neural Networks Ms Zhang An Department of Statistics and Applied Probability, NUS Date: 22 March
Event Statistical Inference For Decision Curve Analysis and Decision Threshold For Statistical Learning in Medical Research Ms Sumaiya Zakirhusen Sande Department of Statistics and Applied
Academic Programme Talk Schedule CHS e-Open House (27 February 2021) Data Science and Analytics Talk Title: Data Science and Analytics at NUS Speaker: Associate Professor
Event Bayesian Inference For Latent Variable Models Mr Deng Lu Department of Statistics and Applied Probability, NUS Date: 24 November 2020, Tuesday Location: ZOOM:
Event Fluorescence Spectroscopy Analysis Through Convolutional Neural Networks Mr Tang Wai Hoh Department of Statistics and Applied Probability, NUS Date: 30 November 2020, Monday
Event Unleash the Power of your Data for Faster, Smarter Decision Making Associate Professor Carol Hargreaves Department of Statistics and Applied Probability, NUS Date:
Event Individual-Centered Partial Information in Social Networks Dr Xin Tong Department of Data Sciences and Operations, Marshall School of Business, University of Southern California, USA
Event The Confidence Bound Method For The Multi-Armed Bandit Problem With Large Arm Size Mr Hu Shouri Department of Statistics and Applied Probability, NUS
Event Parameter Estimation For Isotropic Gaussian Random Fields With Generalized Wendland Covariance Functions Or Matérn Covariance Functions with Nugget Ms Sun Saifei Department of Statistics
Event Regret Minimization and Best Arm Identification Algorithms for Cascading Bandits Associate Professor Vincent Y. F. Tan Dept. of Electrical and Computer Engineering/Dept. of Mathematics,
Congratulations to our students for winning the following awards: Choo Wei Jie, Darren (Data Science & Analytics): NUS Science- Zheng Lu Merit Scholarship Tan Wye
Event Matching Estimation for Data-Generating Experiments Professor Yannis Yatracos Yau Mathematical Sciences Centre, Tsinghua University, Beijing Date: 30 September 2020, Wednesday Location: via
Contact Ms Valerie Soh, val.soh@nus.edu.sg Join our Statistics Competition year 2022 1st Prize $500 Cash 2nd Prize $400 Cash 3rd Prize $300 Cash
In view of the Government’s advisory of the COVID-19 pandemic, we will not be holding the Statistics and Data Science Camp this year. We thank