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David J. Nott

National University of Singapore (per OpenAlex) · ORCID · OpenAlex

94 papers in scope · 93 published · 3 on the econ.EM arXiv · 2,264 citations · h-index 28 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Lucas Kock
  2. Weichang Yu
  3. Rubén Loaiza-Maya
  4. Michael D. Smith
  5. Lin Deng
  6. David T. Frazier
  7. Worapree Maneesoonthorn
  8. Didier Nibbering
  9. Gary Koop
  10. Florian Huber
  11. Gael M. Martin
  12. Luca Onorante
  13. Xuewen Yu
  14. Jingyu He
  15. Michał Narajewski
  16. Joshua C. C. Chan
  17. Guanhao Feng
  18. John M. Maheu
  19. Florian Ziel
  20. Anastasios Panagiotelis

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(4 of 94)

Calibrating Multivariate Regression with Localized PIT Mappings
published2026 · Journal of Computational and Graphical Statistics
with Lucas Kock, G. S. Rodrigues, Scott A. Sisson, Nadja Klein
working paper2026 · arXiv
Variational Inference for Hierarchical Models with Conditional Scale and Skewness Corrections
published2026 · Journal of Computational and Graphical Statistics
with Lucas Kock, Linda S. L. Tan, Prateek Bansal
Posterior Risk of Modular and Semi-Modular Bayesian Inference
published2025 · Journal of the American Statistical Association · 1 citations · first circulated 2023
Deep Mixture of Linear Mixed Models for Complex Longitudinal Data
published2025 · Statistics in Medicine · 1 citations · first circulated 2023
with Lucas Kock, Nadja Klein
Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood
published2025 · Journal of Computational and Graphical Statistics · first circulated 2023
with Nhat-Minh Nguyen, Minh-Ngoc Tran, Christopher Drovandi
published2025 · Journal of the American Statistical Association · 2 citations · first circulated 2023
with Michael S. Smith, Weichang Yu, David T. Frazier, Michael Stanley Smith
Exponentially weighted averaging of varying-coefficient partially linear models
published2025 · Journal of nonparametric statistics · 2 citations
with Bosen Cui, Jialiang Li
Bayesian Regularized Regression Copula Processes for Multivariate Responses
published2025 · Journal of Computational and Graphical Statistics · 1 citations · first circulated 2024
with Nadja Klein, Michael S. Smith, Ryan A. Chisholm, Michael Stanley Smith, Ryan Chisholm
Pooling Information in Likelihood-Free Inference
published2025 · Bayesian Analysis · 1 citations · first circulated 2022
Cutting Feedback and Modularized Analyses in Generalized Bayesian Inference
published2024 · Bayesian Analysis · 2 citations · first circulated 2022
Synthetic Likelihood in Misspecified Models
published2024 · Journal of the American Statistical Association · 7 citations · first circulated 2021
Structured Variational Approximations with Skew Normal Decomposable Graphical Models and Implicit Copulas
published2024 · Journal of Computational and Graphical Statistics · 6 citations · first circulated 2023
with Robert Salomone, Xuejun Yu, Robert Kohn
Flexible Variational Bayes Based on a Copula of a Mixture
published2023 · Journal of Computational and Graphical Statistics · 6 citations · first circulated 2021
Bayesian Inference for Misspecified Generative Models
published2023 · Annual Review of Statistics and Its Application · 14 citations
Variational Inference for Cutting Feedback in Misspecified Models
published2023 · Statistical Science · 6 citations · first circulated 2021
with Xuejun Yu, Michael Stanley Smith
Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization
published2023 · Journal of Computational and Graphical Statistics · 4 citations · first circulated 2022
published2023 · Journal of Applied Econometrics · 5 citations
with Nadja Klein, Michael Stanley Smith
Modularized Bayesian analyses and cutting feedback in likelihood-free inference
published2023 · Statistics and Computing · first circulated 2022
Weakly informative priors and prior-data conflict checking for likelihood-free inference
published2023 · Statistics and Its Interface · 2 citations · first circulated 2022
with Atlanta Chakraborty, Michael A. Evans, Michael D. Evans
Gaussian Variational Approximations for High-dimensional State Space Models
published2022 · Bayesian Analysis · 18 citations · first circulated 2018
Variational inference and sparsity in high-dimensional deep Gaussian mixture models
published2022 · Statistics and Computing · 4 citations · first circulated 2021
with Lucas Kock, Nadja Klein
Bayesian Inference Using Synthetic Likelihood: Asymptotics and Adjustments
published2022 · Journal of the American Statistical Association · 38 citations · first circulated 2019
Variational Bayes
published2022 · Wiley StatsRef: Statistics Reference Online · 4 citations
Detecting conflicting summary statistics in likelihood-free inference
published2021 · Statistics and Computing · first circulated 2020
with Yinan Mao, Xueou Wang, Michael Evans
Variational Bayes approximation of factor stochastic volatility models
published2021 · International Journal of Forecasting · 21 citations · first circulated 2020
published2021 · Journal of Econometrics · 5 citations · first circulated 2020
with Rubén Loaiza-Maya, Michael Stanley Smith, Peter J. Danaher
Checking for model failure and for prior-data conflict with the constrained multinomial model
published2021 · Metrika · 3 citations · first circulated 2018
with Berthold-Georg Englert, Michael Evans, Gun Ho Jang, Hui Khoon Ng, Yi-Lin Seah
Assessment and Adjustment of Approximate Inference Algorithms Using the Law of Total Variance
published2021 · Journal of Computational and Graphical Statistics · 7 citations · first circulated 2019
with Xuejun Yu, Minh-Ngoc Tran, Nadja Klein
A Semiautomatic Method for History Matching Using Sequential Monte Carlo
published2021 · SIAM/ASA Journal on Uncertainty Quantification · 1 citations · first circulated 2017
with Christopher Drovandi, Dan Pagendam
Checking for Prior-Data Conflict Using Prior-to-Posterior Divergences
published2020 · Statistical Science · 6 citations
with Xueou Wang, Michael Evans, Berthold-Georg Englert
Conditionally structured variational Gaussian approximation with importance weights
published2020 · Statistics and Computing · 1 citations · first circulated 2019
with Linda S. L. Tan, Aishwarya Bhaskaran
High-Dimensional Copula Variational Approximation Through Transformation
published2020 · Journal of Computational and Graphical Statistics · 32 citations · first circulated 2019
with Michael Stanley Smith, Rubén Loaiza-Maya
Likelihood-free approximate Gibbs sampling
published2020 · Statistics and Computing · 20 citations · first circulated 2019
with G. S. Rodrigues, Scott A. Sisson
Sparse signal shrinkage and outlier detection in high-dimensional quantile regression with variational Bayes
published2020 · Statistics and Its Interface · 10 citations
with Daeyoung Lim, Beomjo Park, Xueou Wang, Taeryon Choi
Robust Bayesian synthetic likelihood via a semi-parametric approach
published2019 · Statistics and Computing · 48 citations · first circulated 2018
with Ziwen An, Christopher Drovandi
Bayesian Deep Net GLM and GLMM
published2019 · Journal of Computational and Graphical Statistics · 2 citations
with Minh-Ngoc Tran, Nghia Nguyen, Robert Kohn
Multilevel Monte Carlo in approximate Bayesian computation
published2019 · Stochastic Analysis and Applications · 16 citations · first circulated 2017
with Ajay Jasra, Seongil Jo, Christine A. Shoemaker, Raúl Tempone
Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso
published2018 · Journal of Computational and Graphical Statistics · 30 citations
with Ziwen An, Leah F. South, Christopher Drovandi
Likelihood-free inference in high dimensions with synthetic likelihood
published2018 · Computational Statistics & Data Analysis · 38 citations
Varying-Coefficient Semiparametric Model Averaging Prediction
published2018 · Biometrics · 40 citations
with Jialiang Li, Xiaochao Xia, Weng Kee Wong
Using History Matching for Prior Choice
published2018 · Technometrics · 8 citations · first circulated 2016
with Xueou Wang, Christopher Drovandi, Kerrie Mengersen, Michael Evans
Gaussian Variational Approximation With a Factor Covariance Structure
published2017 · Journal of Computational and Graphical Statistics · 70 citations
with Victor M.-H. Ong, Michael S. Smith
Variational Bayes with synthetic likelihood
published2017 · Statistics and Computing · 62 citations
Variational Bayes With Intractable Likelihood
published2017 · Journal of Computational and Graphical Statistics · 91 citations · first circulated 2015
Bayesian Synthetic Likelihood
published2017 · Journal of Computational and Graphical Statistics · 203 citations
with L. F. Price, Christopher Drovandi, Anthony Lee, David T. Frazier
A variational Bayes approach to a semiparametric regression using Gaussian process priors
published2017 · Electronic Journal of Statistics · 3 citations
with Victor M.-H. Ong, David Kwamena Mensah, Seongil Jo, Beomjo Park, Taeryon Choi
Approximation of Bayesian Predictive p-Values with Regression ABC
published2016 · Bayesian Analysis · 25 citations
with Christopher Drovandi, Kerrie Mengersen, Michael Evans
Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model
published2016 · Computational Statistics & Data Analysis · 46 citations · first circulated 2015
with Jialiang Li, Yanan Fan, Scott A. Sisson, Jingjing Li
Functional regression approximate Bayesian computation for Gaussian process density estimation
published2016 · Computational Statistics & Data Analysis · 12 citations · first circulated 2014
with G. S. Rodrigues, Scott A. Sisson
A simple approach to constructing quasi-Sudoku-based sliced space-filling designs
published2016 · Annals of the Institute of Statistical Mathematics · 8 citations · first circulated 2015
with Diane Donovan, Benjamin Haaland
Functional models for longitudinal data with covariate dependent smoothness
published2016 · Electronic Journal of Statistics · 2 citations
with David Kwamena Mensah, Linda S. L. Tan, Lucy Marshall
Variational inference for sparse spectrum Gaussian process regression
published2015 · Statistics and Computing · 18 citations
with Linda S. L. Tan, Victor M.-H. Ong, Ajay Jasra
Parallel Variational Bayes for Large Datasets With an Application to Generalized Linear Mixed Models
published2015 · Journal of Computational and Graphical Statistics · 14 citations
with Minh-Ngoc Tran, Anthony Y. C. Kuk, Robert Kohn
Bayesian estimation of varying-coefficient models with missing data, with application to the Singapore Longitudinal Aging Study
published2014 · Journal of Statistical Computation and Simulation · 7 citations
with Zhipeng Huang, Jialiang Li, Lei Feng, Tze-Pin Ng, Tien Yin Wong
A note on approximating ABC‐MCMC using flexible classifiers
published2014 · Stat · 15 citations
with Kim Cuc Pham, Sanjay Chaudhuri
A Sequential Algorithm for Fast Fitting of Dirichlet Process Mixture Models
published2013 · Journal of Computational and Graphical Statistics · 10 citations
with Xiaole Zhang, Christopher Yau, Ajay Jasra
Bayesian adaptive Lasso
published2013 · Annals of the Institute of Statistical Mathematics · 150 citations · first circulated 2010
with Chenlei Leng, Minh-Ngoc Tran, Minh Ngoc Tran
Mixtures of experts for understanding model discrepancy in dynamic computer models
published2013 · Computational Statistics & Data Analysis · 7 citations
with Lucy Marshall, Mark Fielding, Shie-Yui Liong
Approximate Bayesian computation via regression density estimation
published2013 · Stat · 59 citations · first circulated 2012
with Yanan Fan, Scott A. Sisson
Variational Approximation for Mixtures of Linear Mixed Models
published2013 · Journal of Computational and Graphical Statistics · 19 citations
with Siew Li Tan
Approximate Bayesian Computation and Bayes’ Linear Analysis: Toward High-Dimensional ABC
published2012 · Journal of Computational and Graphical Statistics · 53 citations · first circulated 2011
with Yanan Fan, Lucy Marshall, Scott A. Sisson
Generalized smooth finite mixtures
published2012 · Journal of Econometrics · 35 citations
Regression Density Estimation With Variational Methods and Stochastic Approximation
published2012 · Journal of Computational and Graphical Statistics · 43 citations
with Siew Li Tan, Mattias Villani, Robert Kohn
Simultaneous variable selection and component selection for regression density estimation with mixtures of heteroscedastic experts
published2012 · Electronic Journal of Statistics · 14 citations
The ensemble Kalman filter is an ABC algorithm
published2011 · Statistics and Computing · 14 citations
with Lucy Marshall, Tran Minh Ngoc
The predictive Lasso
published2011 · Statistics and Computing · 15 citations · first circulated 2010
Importance sampling as a variational approximation
published2011 · Statistics & Probability Letters · 2 citations
with Jialiang Li, Mark Fielding
Efficient MCMC Schemes for Computationally Expensive Posterior Distributions
published2010 · Technometrics · 44 citations
with Mark Fielding, Shie-Yui Liong
Bayesian projection approaches to variable selection in generalized linear models
published2010 · Computational Statistics & Data Analysis · 30 citations
Analysis of Clustered Binary Data With Unequal Cluster Sizes: A Semiparametric Bayesian Approach
published2010 · Journal of Agricultural Biological and Environmental Statistics · 3 citations · first circulated 2009
with Anthony Y. C. Kuk
A sign based loss approach to model selection in nonparametric regression
published2009 · Statistics and Computing · 6 citations
with Jialiang Li
Confidence interval for the bootstrap P -value and sample size calculation of the bootstrap test
published2009 · Journal of nonparametric statistics · 19 citations
with Jialiang Li, Bee Choo Tai
On a generalization of the Laplace approximation
published2009 · Statistics & Probability Letters · 6 citations
with Mark Fielding, Daniela Leonte
Meta-Analysis and Gene Set Enrichment Relative to ER Status Reveal Elevated Activity of MYC and E2F in the “Basal” Breast Cancer Subgroup
published2009 · PLoS ONE · 112 citations
with M. Chehani Alles, Margaret Gardiner-Garden, Yixin Wang, John A. Foekens, Robert L. Sutherland, Elizabeth A. Musgrove, Christopher J. Ormandy
Variable Selection and Model Averaging in Semiparametric Overdispersed Generalized Linear Models
published2008 · Journal of the American Statistical Association · 28 citations · first circulated 2007
with Remy Cottet, Robert Kohn
Predictive performance of Dirichlet process shrinkage methods in linear regression
published2007 · Computational Statistics & Data Analysis · 9 citations
Coefficient Sign Prediction Methods for Model Selection
published2007 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2 citations
with Anthony Y. C. Kuk
A general approach to heteroscedastic linear regression
published2007 · Statistics and Computing · 49 citations
with David S. Leslie, Robert Kohn
Locally Adaptive Semiparametric Estimation of the Mean and Variance Functions in Regression Models
published2006 · Journal of Computational and Graphical Statistics · 29 citations
with David Chan, Robert Kohn, Chris Kirby
Hierarchical Bayes variable selection and microarray experiments
published2006 · Journal of Multivariate Analysis · 11 citations
with Zeming Yu, Eva K.F. Chan, Chris Cotsapas, Mark J. Cowley, Jeremy N. Pulvers, Rohan B. H. Williams, Peter Little
Semiparametric estimation of mean and variance functions for non-Gaussian data
published2006 · Computational Statistics · 27 citations
BAYESIAN SUBSET SELECTION AND MODEL AVERAGING USING A CENTRED AND DISPERSED PRIOR FOR THE ERROR VARIANCE
published2006 · Australian & New Zealand Journal of Statistics · 8 citations
with Edward Cripps, Robert Kohn
Adaptive sampling for Bayesian variable selection
published2005 · Biometrika · 105 citations
Efficient sampling schemes for Bayesian MARS models with many predictors
published2005 · Statistics and Computing · 12 citations
with Anthony Y. C. Kuk, Hiep Nguyen Duc
SPACE–TIME MODELLING OF SYDNEY HARBOUR WINDS
published2005 · Australian & New Zealand Journal of Statistics · 13 citations
with Edward Cripps, William T. M. Dunsmuir, Christopher K. Wikle
Sampling Schemes for Bayesian Variable Selection in Generalized Linear Models
published2004 · Journal of Computational and Graphical Statistics · 41 citations
with Daniela Leonte
Bayesian Variable Selection and the Swendsen-Wang Algorithm
published2004 · Journal of Computational and Graphical Statistics · 62 citations
with Peter J Green
Estimation of nonstationary spatial covariance structure
published2002 · Biometrika · 66 citations
Statistical Correction of a Deterministic Numerical Weather Prediction Model
published2001 · Journal of the American Statistical Association · 16 citations
with William T. M. Dunsmuir, Robert Kohn, Frank Woodcock
A Bayesian hierarchical approach to model output statistics
published2000 · Asheville Meeting
A pairwise likelihood approach to analyzing correlated binary data
published2000 · Statistics & Probability Letters · 80 citations
with Anthony Y. C. Kuk
Multi-phase image modelling with excursion sets
published2000 · Signal Processing · 22 citations
with Richard J. Wilson
Pairwise likelihood methods for inference in image models
published1999 · Biometrika · 55 citations

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.