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bridgesampling: An R Package for Estimating Normalizing Constants

23 October 2017

Papers citing "bridgesampling: An R Package for Estimating Normalizing Constants"

26 / 26 papers shown

Title
Computational Typology Gerhard Jäger 58 1 0 22 Apr 2025
Evaluating marginal likelihood approximations of dose-response relationship models in Bayesian benchmark dose methods for risk assessment Sota Minewaki Tomohiro Ohigashi Takashi Sozu 71 0 0 28 Nov 2024
On Naive Mean-Field Approximation for high-dimensional canonical GLMs Soumendu Sundar Mukherjee Jiaze Qiu Subhabrata Sen 61 1 0 21 Jun 2024
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs C. Margossian Loucas Pillaud-Vivien Lawrence K. Saul UD 158 2 0 20 Mar 2024
A Bayesian Take on Gaussian Process Networks Enrico Giudice Jack Kuipers G. Moffa GP 90 3 0 20 Jun 2023
Asymptotic tail properties of Poisson mixture distributions Samuel Valiquette Gwladys Toulemonde Jean Peyhardi Éric Marchand Frédéric Mortier 24 1 0 26 May 2023
The Shrinkage-Delinkage Trade-off: An Analysis of Factorized Gaussian Approximations for Variational Inference C. Margossian Lawrence K. Saul 71 8 0 17 Feb 2023
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models Stefan T. Radev Marvin Schmitt Valentin Pratz Umberto Picchini Ullrich Kothe Paul-Christian Bürkner BDL 295 32 0 17 Feb 2023
A Deep Learning Method for Comparing Bayesian Hierarchical Models Lasse Elsemüller Martin Schnuerch Paul-Christian Bürkner Stefan T. Radev BDL 108 10 0 27 Jan 2023
Beyond Conjugacy for Chain Event Graph Model Selection Aditi Shenvi S. Liverani 49 2 0 07 Nov 2022
Meta-Uncertainty in Bayesian Model Comparison Marvin Schmitt Stefan T. Radev Paul-Christian Bürkner UD 61 10 0 13 Oct 2022
Assessing inter-rater reliability with heterogeneous variance components models: Flexible approach accounting for contextual variables Patrícia Martinková František Bartoš M. Brabec 49 8 0 05 Jul 2022
Choice of mixture Poisson models based on Extreme value theory Samuel Valiquette Frédéric Mortier Jean Peyhardi Gwladys Toulemonde 18 1 0 22 Apr 2022
A tractable Bayesian joint model for longitudinal and survival data D. Alvares F. Rubio 17 21 0 22 Apr 2021
Phylogenetic typology Gerhard Jäger J. Wahle 31 16 0 18 Mar 2021
A Hybrid Approximation to the Marginal Likelihood Eric Chuu D. Pati A. Bhattacharya 32 2 0 24 Feb 2021
BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values Dai Feng Lili Zhao 48 32 0 07 Jan 2021
varstan: An R package for Bayesian analysis of structured time series models with Stan Izhar Asael Alonzo Matamoros C. A. C. Torres 20 3 0 20 May 2020
On the identifiability of Bayesian factor analytic models Panagiotis Papastamoulis I. Ntzoufras 36 32 0 10 Apr 2020
Detect and Correct Bias in Multi-Site Neuroimaging Datasets Christian Wachinger A. Rieckmann Sebastian Polsterl 87 86 0 12 Feb 2020
Blang: Bayesian declarative modelling of general data structures and inference via algorithms based on distribution continua Alexandre Bouchard-Côté Kevin Chern Davor Cubranic Sahand Hosseini Justin Hume Matteo Lepur Zihui Ouyang G. Sgarbi 31 6 0 22 Dec 2019
Distributed Computation for Marginal Likelihood based Model Choice Alexander K. Buchholz Daniel Ahfock S. Richardson FedML 66 5 0 10 Oct 2019
Monte Carlo Approximation of Bayes Factors via Mixing with Surrogate Distributions Chenguang Dai Jun S. Liu 68 7 0 12 Sep 2019
Bayesian Item Response Modeling in R with brms and Stan Paul-Christian Bürkner 70 407 0 23 May 2019
Accurate Computation of Marginal Data Densities Using Variational Bayes G. Hajargasht T. Wo'zniak 48 8 0 25 May 2018
BAMBI: An R package for Fitting Bivariate Angular Mixture Models Saptarshi Chakraborty Samuel W. K. Wong 69 16 0 25 Aug 2017