Seminars

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Date:28 October 2020, Wednesday

Location:ZOOM: https://nus-sg.zoom.us/j/88262264725?pwd=TXBDdjV0L1g0eVltRWJnVGNWOU1YZz09

Time:11.00am - 12.00pm, Singapore time

Individual-Centered Partial Information in Social Networks

Most existing statistical network analysis literature assumes a global view of the network, under which community detection, testing, and other…

Dr Xin TongDepartment of Data Sciences and Operations, Marshall School of Business, University of Southern California, USA

Date:15 October 2020, Thursday

Location:ZOOM: https://nus-sg.zoom.us/j/87156869640?pwd=RHlQQUIvYURNYWxkWVkzdllOS0Z1UT09

Time:03:00pm - 04:00pm, Singapore time

The Confidence Bound Method For The Multi-Armed Bandit Problem With Large Arm Size

PhD Oral Presentation: The confidence bound method is well-established for the multi-armed bandit problem and has been shown to be…

Mr Hu ShouriNational University of Singapore

Date:12 October 2020, Monday

Location:Zoom: https://nus-sg.zoom.us/j/94540854668?pwd=cDFnTzlXcFdmcEJtelJvYjRyMHpBQT09

Time:02:00pm - 03:00pm, Singapore time

Parameter Estimation For Isotropic Gaussian Random Fields With Generalized Wendland Covariance Functions Or Matérn Covariance Functions with Nugget

PhD Oral Presentation: This thesis focus on estimating the parameters for two of the most commonly used models in spatial…

Ms Sun SaifeiNational University of Singapore

Date:7 October 2020, Wednesday

Location:ZOOM: https://nus-sg.zoom.us/j/83837608158?pwd=Y0NDYmlVNWY3dlh0MG5oZG9YY0RRdz09

Time:04.00pm - 05.00pm, Singapore time

Regret Minimization and Best Arm Identification Algorithms for Cascading Bandits

To join using H.323: https://wiki.nus.edu.sg/display/cit/Making+H.323+or+SIP+Calls   We design and analyze TS-Cascade and Cascade-BAI, respectively a Thompson sampling algorithm and a…

Associate Professor Vincent Y. F. TanDept. of Electrical and Computer Engineering/Dept. of Mathematics, NUS

Date:30 September 2020, Wednesday

Location:via ZOOM. Meeting details indicated below.

Time:03.00pm - 04.00pm, Singapore time

Matching Estimation for Data-Generating Experiments

In a Data-Generating Experiment (DGE), the observed sample of size n, x=x(θ )(ε Rnxd), has intractable or unavailable c.d.f. Fθ,…

Professor Yannis YatracosYau Mathematical Sciences Centre, Tsinghua University, Beijing

Date:Wednesday 26 February 2020

Location:S16-06-118, DSAP Seminar Room, Faculty of Science

Time:03:00pm - 04:00pm

THIS SEMINAR IS CANCELLED: Tree-Structure Compositional Data Analysis for Microbiome Studies — An Optimal Transport Perspective

  THIS SEMINAR IS CANCELLED.  WE APOLOGISED FOR ANY INCONVENIENCE.  THANK YOU FOR YOUR KIND UNDERSTANDING. It is increasingly recognized…

Dr Wang ShuleiUniversity of Pennsylvania

Date:12 February 2020, Wednesday

Location:S16-06-118, DSAP Seminar Room

Time:03:00pm - 04:00pm

THIS SEMINAR IS CANCELLED

  THIS SEMINAR IS CANCELLED.  WE APOLOGISED FOR ANY INCONVENIENCE.  THANK YOU FOR YOUR KIND UNDERSTANDING.   Before we can…

Dr Feng Jean University of Washington

Date:19 February 2020, Wednesday

Location:S16-06-118, DSAP Seminar Room, Faculty of Science

Time:03:00pm - 04:00pm

THIS SEMINAR IS CANCELLED: Bayesian Sparse Regression for Large-Scale Observational Healthcare Analytics

  THIS SEMINAR IS CANCELLED.  WE APOLOGISED FOR ANY INCONVENIENCE.  THANK YOU FOR YOUR KIND UNDERSTANDING. Growing availability of large…

Dr Aki Nishimura University of California, Los Angeles

Date:14 February 2020, Friday

Location:S16-05-96, Computer Lab 4, Faculty of Science

Time:03:00pm - 04:00pm

Association Mapping Of Multivariate Phenotypes In The Presence Of Missing Data

  Clinical end-point traits are often characterized by quantitative and/or qualitative precursors and it has been argued that it may…

Professor Saurabh Ghosh Indian Statistical Institute, Calcutta, India

Location:S16-05-96, Computer Lab 4, Faculty of Science

Time:03:00pm - 04:00pm

THIS SEMINAR IS CANCELLED

  THIS SEMINAR IS CANCELLED.  WE APOLOGISED FOR ANY INCONVENIENCE.  THANK YOU FOR YOUR KIND UNDERSTANDING.   Big datasets are…

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