Full Name
David John Nott
Variants
Nott, D.
Nott David
Nott, David John
Nott, D.J.
 
 
Faculty
 
Email
standj@nus.edu.sg
 

Publications

Refined By:
Date Issued:  [2000 TO 2023]
Author:  David Nott
Date Issued:  [2010 TO 2019]

Results 1-20 of 30 (Search time: 0.006 seconds).

Issue DateTitleAuthor(s)
12010A sign based loss approach to model selection in nonparametric regressionNott, D.J. ; Jialiang, L. 
22014A stepwise likelihood ratio test procedure for rare variant selection in case-control studiesKuk, A.Y.C.; Nott, D.J. ; Yang, Y.
319-Feb-2019Accelerating Bayesian Synthetic Likelihood With the Graphical LassoDavid Nott 
42010Analysis of clustered binary data with unequal cluster sizes: A semiparametric bayesian approachNott, D.J. ; Kuk, A.Y.C. 
52018Approximation of Bayesian predictive p-values with regression ABCNott, D.J. ; Drovandi, C.C.; Mengersen, K.; Evans, M.
62014Bayesian adaptive LassoLeng, C. ; Tran, M.-N.; Nott, D. 
716-Aug-2019Bayesian Deep Net GLM and GLMMMinh-Ngoc Tran; Nghia Nguyen; David Nott ; Robert Kohn
82015Bayesian estimation of varying-coefficient models with missing data, with application to the Singapore Longitudinal Aging StudyHuang Zhipeng; Li Jialiang ; Nott David ; Feng Lei ; Ng Tze Pin ; Wong Tien Yin 
91-Dec-2010Bayesian projection approaches to variable selection in generalized linear modelsNott, D.J. ; Leng, C. 
1031-Jul-2017Bayesian Synthetic LikelihoodLeah Price; Christopher Drovandi; Anthony Lee; David Nott 
111-Feb-2011Efficient MCMC schemes for computationally expensive posterior distributionsFielding, M. ; Nott, D.J. ; Liong, S.-Y. 
125-Jun-2018Gaussian Variational Approximation With a Factor Covariance StructureVictor Ong ; David Nott ; Michael Smith
132012Generalized likelihood uncertainty estimation (GLUE) and approximate Bayesian computation: What's the connection?Nott, D.J. ; Marshall, L.; Brown, J.
14Dec-2012Generalized smooth finite mixturesVillani, M.; Kohn, R.; Nott, D.J. 
15Aug-2011Importance sampling as a variational approximationNott, D.J. ; Li, J. ; Fielding, M. 
16Mar-2014Mixtures of experts for understanding model discrepancy in dynamic computer modelsNott, D.J. ; Marshall, L.; Fielding, M.; Liong, S.-Y. 
172015Monte Carlo sampling from the quantum state space. IShang, J ; Seah, Y.-L; Ng, H.K ; Nott, D.J ; Englert, B.-G 
182015Monte Carlo sampling from the quantum state space. IISeah, Y.-L; Shang, J ; Ng, H.K ; Nott, D.J ; Englert, B.-G 
191-Feb-2019Multilevel Monte Carlo in Approximate Bayesian ComputationAjay Jasra ; Seongil Jo; David Nott ; Christine Shoemaker ; Raul Tempone
2010-May-2016Parallel variational Bayes for large datasets with an application to generalized linear mixed modelsMinh-Ngoc Tran; David J. Nott ; Anthony Y. C. Kuk ; Robert Kohn