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State-of-the-art review on Bayesian inference in structural system identification and damage assessment

Advances in Structural Engineering, 2019-04, Vol.22 (6), p.1329-1351

2019

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Mixtures of g-Priors in Generalized Linear Models

Journal of the American Statistical Association, 2018-10, Vol.113 (524), p.1828-1845

2018

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Information‐Theoretic Scores for Bayesian Model Selection and Similarity Analysis: Concept and Application to a Groundwater Problem

Water resources research, 2023-07, Vol.59 (7), p.n/a

2023

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Enhanced adaptive sequential Monte Carlo method for Bayesian model class selection by quantifying data fit and information gain

Mechanical systems and signal processing, 2024-01, Vol.206, p.110792, Article 110792

2024

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A Markov chain Monte Carlo-based Bayesian framework for system identification and uncertainty estimation of full-scale structures

Engineering structures, 2023-11, Vol.295, p.116886, Article 116886

2023

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Predictive RANS simulations via Bayesian Model-Scenario Averaging

Journal of computational physics, 2014-10, Vol.275, p.65-91

2014

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Bayesian operational modal analysis and Markov chain Monte Carlo-based model updating of a factory building

Engineering structures, 2017-02, Vol.132, p.314-336

2017

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Model selection on solid ground: Rigorous comparison of nine ways to evaluate Bayesian model evidence

Water resources research, 2014-12, Vol.50 (12), p.9484-9513

2014

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Robust Bayesian meta‐analysis: Model‐averaging across complementary publication bias adjustment methods

Research synthesis methods, 2023-01, Vol.14 (1), p.99-116

2023

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Evaluation and uncertainty assessment of wheat yield prediction by multilayer perceptron model with bayesian and copula bayesian approaches

Agricultural water management, 2022-11, Vol.273, p.107881, Article 107881

2022

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Adiabatic dynamic causal modelling

NeuroImage (Orlando, Fla.), 2021-09, Vol.238, p.118243-118243, Article 118243

2021

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Sorting through global corruption determinants: Institutions and education matter – Not culture

World development, 2018-09, Vol.109, p.279-294

2018

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A feasibility study on void detection of cement-emulsified asphalt mortar for slab track system utilizing measured vibration data

Engineering structures, 2021-10, Vol.245, p.112349, Article 112349

2021

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Structure learning in coupled dynamical systems and dynamic causal modelling

Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2019-12, Vol.377 (2160), p.20190048-20190048

2019

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An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case

Frontiers in computational neuroscience, 2020-05, Vol.14, p.41-41

2020

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Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation

Computational geosciences, 2021-12, Vol.25 (6), p.1899-1917

2021

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CA mortar void identification for slab track utilizing time-domain Markov chain Monte Carlo-based Bayesian approach

Structural health monitoring, 2023-11, Vol.22 (6), p.3971-3984

2023

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A subsampling approach for Bayesian model selection

International journal of approximate reasoning, 2022-12, Vol.151, p.33-63

2022

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Coherent checking and updating of Bayesian models without specifying the model space: A decision-theoretic semantics for possibility theory

International journal of approximate reasoning, 2022-03, Vol.142, p.81-93

Bickel, David R.

2022

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The Determinants of Economic Growth in European Regions

Regional studies, 2014-01, Vol.48 (1), p.44-67

2014

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Multiscale streamflow forecasting using a new Bayesian Model Average based ensemble multi-wavelet Volterra nonlinear method

Journal of hydrology (Amsterdam), 2013-12, Vol.507, p.186-200

2013

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Estimating and Projecting Trends in HIV/AIDS Generalized Epidemics Using Incremental Mixture Importance Sampling

Biometrics, 2010-12, Vol.66 (4), p.1162-1173

2010

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When and where to transfer for Bayesian network parameter learning

Expert systems with applications, 2016-08, Vol.55, p.361-373

2016

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Bayesian Finite Element Model Updating and Assessment of Cable-Stayed Bridges Using Wireless Sensor Data

Sensors (Basel, Switzerland), 2018-09, Vol.18 (9), p.3057

2018

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Sworn testimony of the model evidence: Gaussian Mixture Importance (GAME) sampling

Water resources research, 2017-07, Vol.53 (7), p.6133-6158

2017

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State-of-the-art review on Bayesian inference in structural system identification and damage assessment

Mixtures of g-Priors in Generalized Linear Models

Information‐Theoretic Scores for Bayesian Model Selection and Similarity Analysis: Concept and Application to a Groundwater Problem

Enhanced adaptive sequential Monte Carlo method for Bayesian model class selection by quantifying data fit and information gain

A Markov chain Monte Carlo-based Bayesian framework for system identification and uncertainty estimation of full-scale structures

Predictive RANS simulations via Bayesian Model-Scenario Averaging

Bayesian operational modal analysis and Markov chain Monte Carlo-based model updating of a factory building

Model selection on solid ground: Rigorous comparison of nine ways to evaluate Bayesian model evidence

Robust Bayesian meta‐analysis: Model‐averaging across complementary publication bias adjustment methods

Evaluation and uncertainty assessment of wheat yield prediction by multilayer perceptron model with bayesian and copula bayesian approaches

Adiabatic dynamic causal modelling

Sorting through global corruption determinants: Institutions and education matter – Not culture

A feasibility study on void detection of cement-emulsified asphalt mortar for slab track system utilizing measured vibration data

Structure learning in coupled dynamical systems and dynamic causal modelling

An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case

Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation

CA mortar void identification for slab track utilizing time-domain Markov chain Monte Carlo-based Bayesian approach

A subsampling approach for Bayesian model selection

Coherent checking and updating of Bayesian models without specifying the model space: A decision-theoretic semantics for possibility theory

The Determinants of Economic Growth in European Regions

Multiscale streamflow forecasting using a new Bayesian Model Average based ensemble multi-wavelet Volterra nonlinear method

Estimating and Projecting Trends in HIV/AIDS Generalized Epidemics Using Incremental Mixture Importance Sampling

When and where to transfer for Bayesian network parameter learning

Bayesian Finite Element Model Updating and Assessment of Cable-Stayed Bridges Using Wireless Sensor Data

Sworn testimony of the model evidence: Gaussian Mixture Importance (GAME) sampling

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