Rank-Normalization, Folding, and Localization: An Improved Rˆ for Assessing Convergence of MCMC (with Discussion)

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Inference from iterative simulation using multiple sequences

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Monte Carlo sampling methods using Markov chains and their applications.

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Stan : A Probabilistic Programming Language

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The use of ranks to avoid the assumption of normality implicit in the analysis of variance

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Monte Carlo Statistical Methods

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New extension of the Kalman filter to nonlinear systems

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WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility

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JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling

Plummer, M. (2003) · Cited by 4,720

CODA: convergence diagnosis and output analysis for MCMC

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Reliability of ultrasonic tomography in detecting grouting defects in post-tensioned structures by PoD curves

Mazzatura, I., Casas, J. R., Salvatore, W., & Caprili, S. (2023) · Engineering Structures · doi:10.1016/j.engstruct.2023.117352 · Cited by 29

Collective incentives reduce over-exploitation of social information in unconstrained human groups

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Investigating the dose-dependency of the midgut escape barrier using a mechanistic model of within-mosquito dengue virus population dynamics

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Comparing the role of perceived burdensomeness and thwarted belongingness in prospectively predicting active suicidal ideation

Jacobucci, R., McClure, K. E., & Ammerman, B. A. (2022) · Suicide and Life-Threatening Behavior · doi:10.1111/sltb.12933 · Cited by 29

Editors’ Choice—AutoEIS: Automated Bayesian Model Selection and Analysis for Electrochemical Impedance Spectroscopy

Zhang, R., Black, R., Sur, D., Karimi, P., Li, K., DeCost, B., Scully, J. R., & Hattrick-Simpers, J. R. (2023) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/aceab2 · Cited by 29

The real-time infection hospitalisation and fatality risk across the COVID-19 pandemic in England

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Uncertainty quantification and propagation in surrogate-based Bayesian inference

Reiser, P., Aguilar, J. E., Guthke, A., & Bürkner, P. (2025) · Statistics and Computing · doi:10.1007/s11222-025-10597-8 · Cited by 34

Sociolinguistic Analysis with Missing Metadata? Leveraging Linguistic and Semiotic Resources Through Deep Learning to Investigate English Variation and Change on Twitter

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Bayesian inference using Hamiltonian Monte‐Carlo algorithm for nonlinear joint modeling in the context of cancer immunotherapy

Kerioui, M., Mercier, F., Bertrand, J., Tardivon, C., Bruno, R., Guedj, J., & Desmée, S. (2020) · Statistics in Medicine · doi:10.1002/sim.8756 · Cited by 27

A novel framework to predict water turbidity using Bayesian modeling

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Advantages of Spike and Slab Priors for Detecting Differential Item Functioning Relative to Other Bayesian Regularizing Priors and Frequentist Lasso

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Quantifying critical N dilution curves across G × E × M effects for potato using a partially-pooled Bayesian hierarchical method

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Adaptive mechanisms of social and asocial learning in immersive collective foraging

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Constraining the SN Ia host galaxy dust law distribution and mass step: hierarchical BayeSN analysis of optical and near-infrared light curves

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Estimating the fitness cost and benefit of antimicrobial resistance from pathogen genomic data

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JWST UNCOVERs the Optical Size–Stellar Mass Relation at 4 < z < 8: Rapid Growth in the Sizes of Low-mass Galaxies in the First Billion Years of the Universe

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Improved morbidity-based air quality health index development using Bayesian multi-pollutant weighted model

Huang, W., He, W., Knibbs, L. D., Jalaludin, B. B., Guo, Y., Morawska, L., Heinrich, J., Chen, D.-H., Yu, Y., Zeng, X., et al. (2021) · Environmental Research · doi:10.1016/j.envres.2021.112397 · Cited by 25

A core component of psychological therapy causes adaptive changes in computational learning mechanisms

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Genetic differentiation in pesticide resistance between urban and rural populations of a nontarget freshwater keystone interactor, Daphnia magna

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Non‐additive biotic interactions improve predictions of tropical tree growth and impact community size structure

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Satisfaction with one's job and working at home in the COVID‐19 pandemic: A two‐wave study

Wood, S., Michaelides, G., Inceoglu, I., Niven, K. R., Kelleher, A., Hurren, E. T., & Daniels, K. (2022) · Applied Psychology · doi:10.1111/apps.12440 · Cited by 31

Long-Term Calorie Restriction Alters Anxiety-like Behaviour and the Brain and Adrenal Gland Transcriptomes of the Ageing Male Rat

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Simulation-Based Bayesian Analysis

Plummer, M. (2022) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-122121-040905 · Cited by 24

Not All Requirements Prioritization Criteria are Equal at All Times: A Quantitative Analysis

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Risk assessment of rear-end crashes by incorporating vehicular heterogeneity into Bayesian hierarchical extreme value models

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Reservoir displacement by an invasive rodent reduces Lassa virus zoonotic spillover risk

Eskew, E. A., Bird, B. H., Ghersi, B. M., Bangura, J. J., Basinski, A. J., Amara, E., Bah, M., Kanu, M. C., Kanu, O. T., Lavalie, E. G., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-47991-1 · Cited by 23

Bayesian Probabilistic Analysis of DEER Spectroscopy Data Using Parametric Distance Distribution Models

Sweger, S. R., Pribitzer, S., & Stoll, S. (2020) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.0c05026 · Cited by 23

Nudging is Ineffective When Attitudes Are Unsupportive: An Example from a Natural Field Experiment

Dewies, M., Schop-Etman, A., Rohde, K. I. M., & Denktaş, S. (2021) · Basic and Applied Social Psychology · doi:10.1080/01973533.2021.1917412 · Cited by 24

A Bayesian approach to calibrate system dynamics models using Hamiltonian Monte Carlo

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Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy

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P ‐hacking in meta‐analyses: A formalization and new meta‐analytic methods

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Bayesian model averaging for mortality forecasting using leave-future-out validation

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Bayesian parameter estimation in chiral effective field theory using the Hamiltonian Monte Carlo method

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Cortical speech tracking is related to individual prediction tendencies

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Wood density and leaf size jointly predict woody plant growth rates across (but not within) species along a steep precipitation gradient

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Horseshoe prior Bayesian quantile regression

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Editorial perspective: Bayesian statistical methods are useful for researchers in child and adolescent mental health

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Hertel, A. G., Albrecht, J., Selva, N., Sergiel, A., Hobson, K. A., Janz, D. M., Mulch, A., Kindberg, J., Hansen, J., Frank, S. C., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-54722-z · Cited by 20

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Zero and One Inflated Item Response Theory Models for Bounded Continuous Data

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Price Prediction of Bitcoin Based on Adaptive Feature Selection and Model Optimization

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Glyphosate impairs aversive learning in bumblebees

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dockerHDDM: A user-friendly environment for Bayesian Hierarchical Drift-Diffusion ModelingPreprint

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Impact of the Euro 2020 championship on the spread of COVID-19

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A Primer on Bayesian Neural Networks: Review and Debates

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