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David John Nott

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

Publications

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Date Issued:  [2000 TO 2023]
Author:  David J Nott
Policy:  Open

Results 1-18 of 18 (Search time: 0.008 seconds).

Issue DateTitleAuthor(s)
119-Feb-2019Accelerating Bayesian Synthetic Likelihood With the Graphical LassoDavid Nott 
22018Approximation of Bayesian predictive p-values with regression ABCNott, D.J. ; Drovandi, C.C.; Mengersen, K.; Evans, M.
318-Mar-2021Assessment and adjustment of approximate inference algorithms using the law of total varianceXuejun Yu; David Nott ; Minh-Ngoc Tran; Nadja Klein
416-Aug-2019Bayesian Deep Net GLM and GLMMMinh-Ngoc Tran; Nghia Nguyen; David Nott ; Robert Kohn
511-Jul-2022Bayesian inference using synthetic likelihood: asymptotics and adjustmentsDavid Frazier; David J Nott ; Christopher C Drovandi; Robert J Kohn
631-Jul-2017Bayesian Synthetic LikelihoodLeah Price; Christopher Drovandi; Anthony Lee; David Nott 
75-Jun-2018Gaussian Variational Approximation With a Factor Covariance StructureVictor Ong ; David Nott ; Michael Smith
820-Apr-2020High-dimensional Copula Variational Approximation through TransformationMichael Smith; Ruben Loaiza-Maya; David Nott 
920-Jul-2023Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via LocalisationChristopher C Drovandi; David J Nott ; David Frazier
1029-Sep-2020Marginally Calibrated Deep Distributional RegressionNadja Klein; DAVID NOTT ; Michael Smith
119-Mar-2009Meta-analysis and gene set enrichment relative to ER status reveal elevated activity of MYC and E2F in the "Basal" breast cancer subgroupAlles, M.C.; Gardiner-Garden, M.; Nott, D.J. ; Wang, Y.; Foekens, J.A.; Sutherland, R.L.; Musgrove, E.A.; Ormandy, C.J.
122015Monte Carlo sampling from the quantum state space. IShang, J ; Seah, Y.-L; Ng, H.K ; Nott, D.J ; Englert, B.-G 
132015Monte Carlo sampling from the quantum state space. IISeah, Y.-L; Shang, J ; Ng, H.K ; Nott, D.J ; Englert, B.-G 
141-Feb-2019Multilevel Monte Carlo in Approximate Bayesian ComputationAjay Jasra ; Seongil Jo; David Nott ; Christine Shoemaker ; Raul Tempone
1510-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
166-Jun-2018Using History Matching for Prior ChoiceWang Xueou ; David Nott ; Christopher Drovandi; Kerrie Mengersen; Michael Evans
172020Using Prior Expansions for Prior-Data Conflict CheckingNott, D.J. ; Seah, M.; Al-Labadi, L.; Evans, M.; Khoon Ng, H. ; Berthold-Georg, E. 
1811-May-2017Variational Bayes With Intractable LikelihoodMinh-Ngoc Tran; David Nott ; Robert Kohn