Daniel Simpson

1. The Prior Can Often Only Be Understood in the Context of the Likelihood
   2017/08/24 by Andrew Gelman, Daniel Simpson, Michael Betancourt · 2 voices · 34 citations
   Mathematics · Decision Sciences · #Statistical Methods and Bayesian Inference #Psychometric Methodologies and Testing #Statistical Distribution Estimation and Applications
2. Bayesian Workflow
   2020/11/03 by Andrew Gelman, Aki Vehtari, Gelman, Andrew +18 · 5 voices · 33 citations
   Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Scientific Computing and Data Management #Data Quality and Management
3. Thermodynamic Linear Algebra
   2023/08/10 by Maxwell Aifer, Kaelan Donatella, Aifer, Maxwell +14 · 2 voices · 7 citations
   Computer Science · Physics and Astronomy · #Quantum Computing Algorithms and Architecture #Quantum and electron transport phenomena #Quantum many-body systems #cond-mat.stat-mech #cs.ET #quant-ph
4. Rank-Normalization, Folding, and Localization: An Improved Rˆ for Assessing Convergence of MCMC (with Discussion)
   2020/07/04 by Aki Vehtari, Andrew Gelman, Daniel Simpson +2 · 1 voice · 87 citations
   Decision Sciences · Mathematics · #Markov Chains and Monte Carlo Methods #Probability and Risk Models #Statistical Methods and Inference
5. Visualization in Bayesian Workflow
   2019/01/15 by Jonah Gabry, Daniel Simpson, Aki Vehtari +2 · 1 voice · 49 citations
   Computer Science · Decision Sciences · #Data Analysis with R #Data Visualization and Analytics #Scientific Computing and Data Management
6. Validating Bayesian Inference Algorithms with Simulation-Based Calibration
   2018/04/18 by Sean Talts, Michael Betancourt, Talts, Sean +7 · 2 voices · 40 citations
   Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #stat.ME
7. Penalising model component complexity: A principled, practical approach to constructing priors
   2014/03/18 by Daniel Simpson, Simpson, Daniel P., Håvard Rue +7 · 27 citations
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Statistical Methods and Bayesian Inference
8. An intuitive Bayesian spatial model for disease mapping that accounts\n for scaling
   2016/01/06 by Andrea Riebler, Sigrunn H. Sørbye, Riebler, Andrea +5 · 12 citations
   Biochemistry, Genetics and Molecular Biology · Medicine · Economics, Econometrics and Finance · #Genetic and phenotypic traits in livestock #Data-Driven Disease Surveillance #Spatial and Panel Data Analysis
9. Spatial modelling with R-INLA: A review
   2018/02/18 by Haakon Bakka, Håvard Rue, Bakka, Haakon +13 · 11 citations
   Environmental Science · Economics, Econometrics and Finance · #Soil Geostatistics and Mapping #Remote Sensing and LiDAR Applications #Spatial and Panel Data Analysis
10. Bayesian computing with INLA: new features
    2012/10/01 by Thiago G. Martins, Daniel Simpson, Martins, Thiago G. +5 · 8 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Statistical Methods and Bayesian Inference
11. Exploring a New Class of Non-stationary Spatial Gaussian Random Fields\n with Varying Local Anisotropy
    2013/04/25 by Geir‐Arne Fuglstad, Fuglstad, Geir-Arne, Finn Lindgren +5 · 5 citations
    Economics, Econometrics and Finance · Environmental Science · #Economic and Environmental Valuation #FOS: Computer and information sciences #Methodology (stat.ME) #Soil Geostatistics and Mapping #Spatial and Panel Data Analysis
12. Bayesian Adaptive Smoothing Spline using Stochastic Differential Equations
    2012/09/10 by Yue Yu, Daniel Simpson, Yue, Yu Ryan +5 · 3 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
13. Scalable iterative methods for sampling from massive Gaussian random vectors
    2013/12/05 by Daniel Simpson, Ian Turner, Simpson, Daniel P. +5 · 1 citation
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Numerical Analysis (math.NA) #Statistical Methods and Bayesian Inference
14. Multivariate Gaussian Random Fields Using Systems of Stochastic Partial Differential Equations
    2013/07/04 by Xiangping Hu, Daniel Simpson, Hu, Xiangping +4 · 1 citation
    Environmental Science · Physics and Astronomy · #Soil Geostatistics and Mapping #Scientific Research and Discoveries #Hydrology and Drought Analysis