Programming with models: writing statistical algorithms for general model structures with NIMBLE

19 May 2015

P. de Valpine

Daniel Turek

C. Paciorek

Clifford Anderson-Bergman

D. Lang

Rastislav Bodík

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Papers citing "Programming with models: writing statistical algorithms for general model structures with NIMBLE"

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Title
DeepRV: pre-trained spatial priors for accelerated disease mapping Jhonathan Navott Daniel Jenson Seth Flaxman Elizaveta Semenova 47 0 0 27 Mar 2025
Mixing of the No-U-Turn Sampler and the Geometry of Gaussian Concentration Nawaf Bou-Rabee Stefan Oberdörster 28 1 0 09 Oct 2024
bayesCureRateModel: Bayesian Cure Rate Modeling for Time to Event Data in R Panagiotis Papastamoulis Fotios Milienos 18 0 0 16 Sep 2024
Scaling Hawkes processes to one million COVID-19 cases Seyoon Ko M. Suchard Andrew J Holbrook 16 0 0 16 Jul 2024
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms Måns Magnusson Jakob Torgander Paul-Christian Burkner Lu Zhang Bob Carpenter Aki Vehtari 42 6 0 06 Jul 2024
GIST: Gibbs self-tuning for locally adaptive Hamiltonian Monte Carlo Nawaf Bou-Rabee Bob Carpenter Milo Marsden 43 6 0 23 Apr 2024
A Bayesian Bootstrap for Mixture Models Fuheng Cui Stephen G. Walker 21 1 0 02 Oct 2023
A Primer on Bayesian Neural Networks: Review and Debates Federico Danieli Konstantinos Pitas M. Vladimirova Vincent Fortuin BDL AAML 56 18 0 28 Sep 2023
Small Area Estimation with Random Forests and the LASSO Victoire Michal J. Wakefield A. M. Schmidt Alicia C. Cavanaugh Brian E. Robinson J. Baumgartner 20 2 0 29 Aug 2023
A Heavy-Tailed Algebra for Probabilistic Programming Feynman T. Liang Liam Hodgkinson Michael W. Mahoney 16 3 0 15 Jun 2023
Computational methods for fast Bayesian model assessment via calibrated posterior p-values S. Paganin P. de Valpine 11 0 0 08 Jun 2023
Liesel: A Probabilistic Programming Framework for Developing Semi-Parametric Regression Models and Custom Bayesian Inference Algorithms Hannes Riebl P. Wiemann Thomas Kneib 8 2 0 22 Sep 2022
Nonseparable Space-Time Stationary Covariance Functions on Networks cross Time Emilio Porcu P. White M. Genton 15 2 0 05 Aug 2022
Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm Marion Naveau Guillaume Kon Kam King R. Rincent Laure Sansonnet Maud Delattre 11 4 0 02 Jun 2022
BayesMix: Bayesian Mixture Models in C++ Mario Beraha Bruno Guindani Matteo Gianella A. Guglielmi 13 2 0 17 May 2022
$On the use of a local $\hat{R}$ to improve MCMC convergence diagnostic$ On the use of a local $\hat{R}$ to improve MCMC convergence diagnostic Théo Moins Julyan Arbel A. Dutfoy Stéphane Girard 22 12 0 13 May 2022
Many processors, little time: MCMC for partitions via optimal transport couplings Tin D. Nguyen Brian L. Trippe Tamara Broderick OT 29 13 0 23 Feb 2022
Bayesian calibration of simulation models: A tutorial and an Australian smoking behaviour model S. Wade M. Weber Peter Sarich P. Vaneckova Silvia Behar-Harpaz ... T. Blakely Melbourne National Centre for Epidemiology Canberra St. Catharines CML 26 3 0 07 Feb 2022
Big problems in spatio-temporal disease mapping: methods and software E. Orozco-Acosta A. Adin M. D. Ugarte 19 12 0 20 Jan 2022
JAGS, NIMBLE, Stan: a detailed comparison among Bayesian MCMC software Mario Beraha Daniel Falco A. Guglielmi 11 8 0 20 Jul 2021
A numerically stable online implementation and exploration of WAIC through variations of the predictive density, using NIMBLE Joshua E. Hug C. Paciorek 22 1 0 25 Jun 2021
bssm: Bayesian Inference of Non-linear and Non-Gaussian State Space Models in R Jouni Helske M. Vihola 13 8 0 21 Jan 2021
A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets B. Lee Jaewoo Park 11 11 0 26 Nov 2020
Greater Than the Sum of its Parts: Computationally Flexible Bayesian Hierarchical Modeling Devin S. Johnson Brian M. Brost M. Hooten 26 2 0 23 Oct 2020
Reversible Jump PDMP Samplers for Variable Selection Augustin Chevallier Paul Fearnhead Matthew Sutton 13 18 0 22 Oct 2020
Flexible mean field variational inference using mixtures of non-overlapping exponential families J. Spence 13 4 0 14 Oct 2020
Independent finite approximations for Bayesian nonparametric inference Tin D. Nguyen Jonathan H. Huggins L. Masoero Lester W. Mackey Tamara Broderick TPM 11 4 0 22 Sep 2020
PF: A C++ Library for Fast Particle Filtering Taylor R. Brown 16 0 0 28 Jan 2020
PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models B. Lee M. Haran 11 14 0 05 Dec 2019
Bayesian inference for high-dimensional nonstationary Gaussian processes M. Risser Daniel Turek GP 11 6 0 30 Oct 2019
New Development of Bayesian Variable Selection Criteria for Spatial Point Process with Applications Guanyu Hu F. Huffer Ming-Hui Chen 11 9 0 15 Oct 2019
A Bayesian marked spatial point processes model for basketball shot chart Jieying Jiao Guanyu Hu Jun Yan 17 17 0 15 Aug 2019
Stochastic gradient Markov chain Monte Carlo Christopher Nemeth Paul Fearnhead BDL 19 135 0 16 Jul 2019
Heterogeneous Regression Models for Clusters of Spatial Dependent Data Zhihua Ma Yishu Xue Guanyu Hu 14 4 0 04 Jul 2019
Spatio-Temporal Change of Support Modeling with R Andrew M. Raim S. Holan J. Bradley C. Wikle 16 4 0 27 Apr 2019
$Rank-normalization, folding, and localization: An improved $\widehat{R}$ for assessing convergence of MCMC$ Rank-normalization, folding, and localization: An improved $\widehat{R}$ for assessing convergence of MCMC Aki Vehtari Andrew Gelman Daniel P. Simpson Bob Carpenter Paul-Christian Burkner 13 902 0 19 Mar 2019
Simulation-based inference methods for partially observed Markov model via the R package is2 Bernhard Bergmair Johann Hoffelner Siegfried Silber 15 0 0 07 Nov 2018
Automated learning with a probabilistic programming language: Birch Lawrence M. Murray Thomas B. Schon 12 61 0 02 Oct 2018
Automatic adaptation of MCMC algorithms D. Nguyen P. de Valpine Yves Atchadé Daniel Turek Nick Michaud C. Paciorek BDL 24 3 0 24 Feb 2018
bridgesampling: An R Package for Estimating Normalizing Constants Q. Gronau H. Singmann E. Wagenmakers 27 247 0 23 Oct 2017
MultiBUGS: A parallel implementation of the BUGS modelling framework for faster Bayesian inference Robert J. B. Goudie R. Turner Daniela De Angelis Andrew Thomas 9 3 0 11 Apr 2017
Sequential Monte Carlo Methods in the nimble R Package Nick Michaud P. de Valpine Daniel Turek C. Paciorek D. Nguyen 31 6 0 17 Mar 2017
Bayesian computing with INLA: new features Thiago G. Martins Daniel P. Simpson Till Mossakowski H. Rue BDL 125 556 0 01 Oct 2012