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Philosophy and the practice of Bayesian statistics

19 June 2010

Papers citing "Philosophy and the practice of Bayesian statistics"

38 / 38 papers shown

Title
Theory: Multidimensional Space of Events Sergii Kavun 166 0 0 16 May 2025
Multi-environment Topic Models Dominic Sobhani Amir Feder David M. Blei 60 0 0 31 Oct 2024
Approximate Bayesian Computation with Statistical Distances for Model Selection Christian Angelopoulos Clara Grazian 47 0 0 28 Oct 2024
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory Sumio Watanabe 104 1 0 31 May 2024
Doublethink: simultaneous Bayesian-frequentist model-averaged hypothesis testing H. R. Fryer N. Arning Daniel J. Wilson 74 1 0 29 Dec 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning Mingjia Shi Yuhao Zhou Kai Wang Huaizheng Zhang Shudong Huang Qing Ye Jiangcheng Lv 75 11 0 13 Oct 2023
A Benchmark Study on Calibration Linwei Tao Younan Zhu Haolan Guo Minjing Dong Chang Xu 112 9 0 23 Aug 2023
$Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities$ Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities Genevera I. Allen Luqin Gan Lili Zheng 89 9 0 02 Aug 2023
Bayesian Renormalization D. Berman Marc S. Klinger A. G. Stapleton 92 17 0 17 May 2023
"Un-Equal Online Safety?" A Gender Analysis of Security and Privacy Protection Advice and Behaviour Patterns Kovila P. L. Coopamootoo Magdalene Ng 22 5 0 05 May 2023
Personalized Federated Learning with Hidden Information on Personalized Prior Mingjia Shi Yuhao Zhou Qing Ye Jiancheng Lv FedML 86 3 0 19 Nov 2022
Recent Advances in Algebraic Geometry and Bayesian Statistics Sumio Watanabe 88 1 0 18 Nov 2022
Robust Neural Posterior Estimation and Statistical Model Criticism Daniel Ward Patrick W Cannon Mark Beaumont Matteo Fasiolo Sebastian M. Schmon 90 39 0 12 Oct 2022
Mathematical Theory of Bayesian Statistics for Unknown Information Source Sumio Watanabe 72 9 0 11 Jun 2022
Evaluating Posterior Distributions by Selectively Breeding Prior Samples C. Shalizi 22 0 0 17 Mar 2022
Epidemia: An R Package for Semi-Mechanistic Bayesian Modelling of Infectious Diseases using Point Processes Shuhang Tan Axel Gandy Swapnil Mishra Samir Bhatt Seth Flaxman H. Juliette T. Unwin J. Ish-Horowicz 103 9 0 24 Oct 2021
Induction, Popper, and machine learning Bruce Nielson Daniel C. Elton AI4CE 23 2 0 02 Oct 2021
Multiscale Analysis of Count Data through Topic Alignment Julia Fukuyama Kris Sankaran L. Symul 18 7 0 12 Sep 2021
Effects of Model Misspecification on Bayesian Bandits: Case Studies in UX Optimization Mack Sweeney M. Adelsberg Kathryn B. Laskey C. Domeniconi 55 1 0 07 Oct 2020
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors Yuling Yao Aki Vehtari Andrew Gelman 94 63 0 22 Jun 2020
From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning Zachary Wojtowicz Simon DeDeo FAtt 121 30 0 03 Jun 2020
Robust Inference and Model Criticism Using Bagged Posteriors Jonathan H. Huggins Jeffrey W. Miller 139 15 0 15 Dec 2019
Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models Stefano V. Albrecht S. Ramamoorthy LLMAG 51 12 0 02 Jul 2019
A Role for Symmetry in the Bayesian Solution of Differential Equations Junyang Wang Jon Cockayne Chris J. Oates 75 7 0 24 Jun 2019
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network Oscar Chang Yuling Yao David Williams-King Hod Lipson BDL UQCV 71 8 0 23 May 2019
Measuring and Controlling Bias for Some Bayesian Inferences and the Relation to Frequentist Criteria M. Evans Y. Guo 25 10 0 05 Mar 2019
Nonparametric learning from Bayesian models with randomized objective functions Simon Lyddon S. Walker C. C. Holmes OOD 117 48 0 29 Jun 2018
Development and analysis of a Bayesian water balance model for large lake systems Joeseph P. Smith A. Gronewold 37 7 0 26 Oct 2017
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric Models M. Zhang Sinead Williamson Fernando Perez-Cruz 46 1 0 19 May 2017
Using Synthetic Data to Train Neural Networks is Model-Based Reasoning T. Le A. G. Baydin R. Zinkov Frank Wood SyDa OOD 160 89 0 02 Mar 2017
Inference Compilation and Universal Probabilistic Programming T. Le A. G. Baydin Frank Wood UQCV 219 143 0 31 Oct 2016
Bayesian Dropout Tue Herlau Morten Mørup Mikkel N. Schmidt BDL 50 2 0 12 Aug 2015
Belief and Truth in Hypothesised Behaviours Stefano V. Albrecht J. Crandall S. Ramamoorthy 98 76 0 28 Jul 2015
Bayesian Time-of-Flight for Realtime Shape, Illumination and Albedo Amit Adam Christoph Dann Omer Yair Shai Mazor Sebastian Nowozin 51 46 0 22 Jul 2015
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It Peter Grünwald T. V. Ommen 126 268 0 11 Dec 2014
A unified view of generative models for networks: models, methods, opportunities, and challenges Abigail Z. Jacobs A. Clauset 118 31 0 14 Nov 2014
Falsifiable implies Learnable David Balduzzi 26 0 0 28 Aug 2014
SSM: Inference for time series analysis with State Space Models Joseph Dureau S. Ballesteros T. Bogich AI4TS 72 21 0 22 Jul 2013