David J. Nott - Concepedia

Author

David J. Nott

National University of Singapore ORCID

Also Known As

, D NOTT, D. J. Nott, D. Nott, D.J. Nott, David J Nott, David J. Nott, David John Nott, David Nott, Klein, Nadja

248

Publications

3.3K

Citations

H-Index

110

Concepts

All Affiliations

National University of Singapore UNSW Sydney Queensland University of Technology Australian Institute of Business ARC Centre of Excellence for Mathematical and Statistical Frontiers

About

David J. Nott is an author at National University of Singapore specializing in statistics, statistical inference, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	21	40	1.6K
2	Natural Sciences	3	3	52
3	Business	2	2	126
4	Management	2	2	62
5	Medicine	2	2	79

David J. Nott

Publications

2.8K

Citations

H-Index

Page 1

	Year	Citations
A comparative study of Markov chain Monte Carlo methods for conceptual rainfall‐runoff modeling Lucy Marshall, David J. Nott, Ashish Sharma Water Resources Research Bayesian StatisticBayesian Decision TheoryEngineeringMarkov Chain Monte CarloBayesian Inference	2004	236
Bayesian Synthetic Likelihood L. F. Price, Christopher Drovandi, Anthony Lee, Journal of Computational and Graphical Statistics	2017	196
Bayesian adaptive Lasso Chenlei Leng, Minh‐Ngoc Tran, David J. Nott Annals of the Institute of Statistical Mathematics Bayesian StatisticBayesian StatisticsData ScienceBayesian Adaptive LassoStatistical Inference	2013	142
Hydrological model selection: A Bayesian alternative Lucy Marshall, David J. Nott, Ashish Sharma Water Resources Research Bayesian StatisticEngineeringBayesian AlternativeBayesian FrameworkWater Quality Forecasting	2005	122
Adaptive sampling for Bayesian variable selection David J. Nott, Robert Kohn Biometrika	2005	105
Variational Bayes With Intractable Likelihood Minh‐Ngoc Tran, David J. Nott, Robert Kohn Journal of Computational and Graphical Statistics Bayesian StatisticBayesian StatisticsEngineeringData ScienceStatistical Inference	2017	91
Generalized likelihood uncertainty estimation (GLUE) and approximate Bayesian computation: What's the connection? David J. Nott, Lucy Marshall, Jason Brown Water Resources Research Bayesian StatisticBayesian Decision TheoryEngineeringKernel FunctionUncertainty Formalism	2012	87
Towards dynamic catchment modelling: a Bayesian hierarchical mixtures of experts framework Lucy Marshall, David J. Nott, Ashish Sharma Hydrological Processes Experts FrameworkEngineeringHierarchical MixturesWater Quality ForecastingData Science	2006	81
A pairwise likelihood approach to analyzing correlated binary data Anthony Y. C. Kuk, David J. Nott Statistics & Probability Letters Graphical ModelKnowledge DiscoveryBusinessStatistical InferenceMultivariate Analysis	2000	79
Modeling the catchment via mixtures: Issues of model specification and validation Lucy Marshall, Ashish Sharma, David J. Nott Water Resources Research Hydrological PredictionEngineeringHydrologic EngineeringClimate ModelingModel Aggregation	2006	73

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