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Daniel Simpson

Identifiers

  • name variant Daniel Simpson 0.60 · backfill

Papers (30)

  1. The experiment is just as important as the likelihood in understanding the prior: A cautionary note on robust cognitive modelling stat.AP · 2019 · author #2
  2. Spatial modelling with R-INLA: A review stat.ME · 2018 · author #7
  3. Yes, but Did It Work?: Evaluating Variational Inference stat.ML · 2018 · author #3
  4. Visualization in Bayesian workflow stat.ME · 2017 · author #2
  5. The prior can generally only be understood in the context of the likelihood stat.ME · 2017 · author #2
  6. Using stacking to average Bayesian predictive distributions stat.ME · 2017 · author #3
  7. Non-stationary Gaussian models with physical barriers stat.AP · 2016 · author #4
  8. Spatial Modeling, with Application to Complex Survey Data: Discussion of "Model-based Geostatistics for Prevalence Mapping in Low-Resource Settings", by Diggle and Giorgi stat.ME · 2016 · author #2
  9. An intuitive Bayesian spatial model for disease mapping that accounts for scaling stat.ME · 2016 · author #3
  10. Beyond the Valley of the Covariance Function stat.ME · 2015 · author #1
  11. The MCMC split sampler: A block Gibbs sampling scheme for latent Gaussian models stat.CO · 2015 · author #3
  12. Constructing Priors that Penalize the Complexity of Gaussian Random Fields stat.ME · 2015 · author #2
  13. Discussion of "Sequential Quasi-Monte Carlo" by Mathieu Gerber and Nicolas Chopin stat.CO · 2015 · author #2
  14. Does non-stationary spatial data always require non-stationary random fields? stat.ME · 2014 · author #2
  15. Computationally efficient spatial modeling of annual maximum 24 hour precipitation. An application to data from Iceland stat.ME · 2014 · author #3
  16. Discussion of "Geodesic Monte Carlo on Embedded Manifolds" stat.CO · 2013 · author #12
  17. Spatial Modelling of Temperature and Humidity using Systems of Stochastic Partial Differential Equations stat.AP · 2013 · author #3
  18. Multivariate Gaussian Random Fields with Oscillating Covariance Functions using Systems of Stochastic Partial Differential Equations stat.ME · 2013 · author #3
  19. Multivariate Gaussian Random Fields Using Systems of Stochastic Partial Differential Equations stat.ME · 2013 · author #2
  20. Specifying Gaussian Markov Random Fields with Incomplete Orthogonal Factorization using Givens Rotations stat.CO · 2013 · author #2
  21. On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods stat.ME · 2013 · author #5
  22. Non-stationary Spatial Modelling with Applications to Spatial Prediction of Precipitation stat.ME · 2013 · author #2
  23. Exploring a New Class of Non-stationary Spatial Gaussian Random Fields with Varying Local Anisotropy stat.ME · 2013 · author #3
  24. On the convergence of the Escalator Boxcar Train math.NA · 2012 · author #3
  25. Bayesian computing with INLA: new features stat.CO · 2012 · author #2
  26. Bayesian Adaptive Smoothing Spline using Stochastic Differential Equations math.ST · 2012 · author #2
  27. The use of systems of stochastic PDEs as priors for multivariate models with discrete structures stat.ME · 2012 · author #2
  28. Going off grid: Computationally efficient inference for log-Gaussian Cox processes stat.CO · 2011 · author #1
  29. Think continuous: Markovian Gaussian models in spatial statistics math.ST · 2011 · author #1
  30. Fast approximate inference with INLA: the past, the present and the future stat.CO · 2011 · author #1

Mentions

  • 1409.0743 #2 · backfill · confidence 0.70 Daniel Simpson
  • 1405.6947 #3 · backfill · confidence 0.70 Daniel Simpson
  • 1311.1129 #12 · backfill · confidence 0.70 Daniel Simpson
  • 1307.1402 #3 · backfill · confidence 0.70 Daniel Simpson
  • 1307.1384 #3 · backfill · confidence 0.70 Daniel Simpson
  • 1307.1379 #2 · backfill · confidence 0.70 Daniel Simpson
  • 1307.1368 #2 · backfill · confidence 0.70 Daniel Simpson
  • 1306.4032 #5 · backfill · confidence 0.70 Daniel Simpson
  • 1306.0408 #2 · backfill · confidence 0.70 Daniel Simpson
  • 1304.6949 #3 · backfill · confidence 0.70 Daniel Simpson
  • 1210.1444 #3 · backfill · confidence 0.70 Daniel Simpson
  • 1210.0333 #2 · backfill · confidence 0.70 Daniel Simpson
  • 1209.2013 #2 · backfill · confidence 0.70 Daniel Simpson
  • 1208.1717 #2 · backfill · confidence 0.70 Daniel Simpson
  • 1111.0641 #1 · backfill · confidence 0.70 Daniel Simpson
  • 1110.6796 #1 · backfill · confidence 0.70 Daniel Simpson
  • 1105.2982 #1 · backfill · confidence 0.70 Daniel Simpson

Frequent Coauthors