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Author

Daniel Simpson

Observed names: D. Simpson, Dan P. Simpson, Dan Simpson, Daniel P Simpson, Daniel P. Simpson, Daniel Peter Simpson, Simpson, Daniel, Simpson, Daniel P., Simpson, Daniel Peter
Institution: Monash University
Observed institutions: Queensland University of Technology, University of Iceland, University of Toronto, Norwegian University of Science and Technology, UNSW Sydney, University of Warwick, University of Bath, Monash University
ORCID: 0000-0003-4819-2868
Observed ORCID: 0000-0003-4819-2868
OpenAlex ID: A5030390434
Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors
2017 · Daniel Simpson, Håvard Rue, et al. · Statistical Science · 1,087
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Visualization in Bayesian Workflow
2019 · Jonah Gabry, Daniel Simpson, et al. · Journal of the Royal Statistical Society Series A (Statistics in Society) · 1,081
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Bayesian Computing with INLA: A Review
2017 · Håvard Rue, Andrea Riebler, et al. · Annual Review of Statistics and Its Application · 724
Bayesian computing with INLA: New features
2013 · Thiago G. Martins, Daniel Simpson, et al. · Computational Statistics & Data Analysis · 604
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An intuitive Bayesian spatial model for disease mapping that accounts for scaling
2016 · Andrea Riebler, Sigrunn H Sørbye, et al. · Statistical Methods in Medical Research · 513
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The Prior Can Often Only Be Understood in the Context of the Likelihood
2017 · Gelman, Andrew E., Simpson, Daniel, et al. · Entropy · 430
Spatial modeling with R‐INLA: A review
2018 · Haakon Bakka, Håvard Rue, et al. · Wiley Interdisciplinary Reviews Computational Statistics · 407
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Constructing Priors that Penalize the Complexity of Gaussian Random Fields
2018 · Geir-Arne Fuglstad, Daniel Simpson, et al. · Journal of the American Statistical Association · 398
Global and regional causes of maternal deaths 2009–20: a WHO systematic analysis
2025 · Jenny A Cresswell, Monica Alexander, et al. · The Lancet Global Health · 383
Spatio-temporal modeling of particulate matter concentration through the SPDE approach
2012 · Michela Cameletti, Finn Lindgren, et al. · AStA Advances in Statistical Analysis · 380
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
2018 · Elias Krainski, Virgilio Gómez-Rubio, et al. · Chapman & Hall/CRC eBooks · 269
Data Integration for the Assessment of Population Exposure to Ambient Air Pollution for Global Burden of Disease Assessment
2018 · Gavin Shaddick, Matthew L. Thomas, et al. · Environmental Science & Technology · 241
Going off grid: computationally efficient inference for log-Gaussian Cox processes
2016 · D. Simpson, J. B. Illian, et al. · Biometrika · 213
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Validating Bayesian Inference Algorithms with Simulation-Based Calibration
2018 · Talts, Sean, Betancourt, Michael, et al. · arXiv (Cornell University) · 205
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Bayesian hierarchical spatial models: Implementing the Besag York Mollié model in stan
2019 · Mitzi Morris, Katherine Wheeler-Martin, et al. · Spatial and Spatio-temporal Epidemiology · 184
Non-stationary Gaussian models with physical barriers
2019 · Haakon Bakka, Jarno Vanhatalo, et al. · Spatial Statistics · 129
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Bayesian Workflow
2020 · Gelman, Andrew, Vehtari, Aki, et al. · arXiv (Cornell University) · 119
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On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods
2015 · Anne-Marie Lyne, Mark Girolami, et al. · Statistical Science · 97
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In order to make spatial statistics computationally feasible, we need to forget about the covariance function
2011 · Daniel Simpson, Finn Lindgren, et al. · Environmetrics · 92
Yes, but Did It Work?: Evaluating Variational Inference
2018 · Yao, Yuling, Vehtari, Aki, et al. · arXiv (Cornell University) · 82
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Limitations of “Limitations of Bayesian Leave-one-out Cross-Validation for Model Selection”
2018 · Aki Vehtari, Daniel P. Simpson, et al. · Computational Brain & Behavior · 76
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Remap : An online remote sensing application for land cover classification and monitoring
2018 · Nicholas J. Murray, David A. Keith, et al. · Methods in Ecology and Evolution · 61
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Parameter estimation in high dimensional Gaussian distributions
2012 · Erlend Aune, Daniel P. Simpson, et al. · Statistics and Computing · 55
Gaydar and the Fallacy of Decontextualized Measurement
2018 · Andrew Gelman, Greggor Mattson, et al. · Sociological Science · 52
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Bayesian Adaptive Smoothing Splines Using Stochastic Differential Equations
2014 · Yu Ryan Yue, Daniel Simpson, et al. · Bayesian Analysis · 36
Works count: 95
Citation count: 8,421
H-index: 29
I10-index: 44
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