Sampling methods for solving Bayesian model updating problems: A tutorial

Bayesian identification of electromechanical properties in piezoelectric energy harvesters

(2020) Patricio Peralta et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

New hybrid reliability-based topology optimization method combining fuzzy and probabilistic models for handling epistemic and aleatory uncertainties

(2020) Zeng Meng et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Random noise suppression and parameter estimation for Magnetic Resonance Sounding signal based on maximum likelihood estimation

(2020) Fan Li et al.   JOURNAL OF APPLIED GEOPHYSICS

Real-time defect detection of high-speed train wheels by using Bayesian forecasting and dynamic model

(2020) Y.W. Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

On the application of Gaussian process latent force models for joint input-state-parameter estimation: With a view to Bayesian operational identification

(2020) T.J. Rogers et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A fast Bayesian inference scheme for identification of local structural properties of layered composites based on wave and finite element-assisted metamodeling strategy and ultrasound measurements

(2020) Wang-Ji Yan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bayesian history matching for structural dynamics applications

(2020) P. Gardner et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Selection of masters in dynamic reduction-based structural health monitoring using Bayesian experimental design

(2020) Tao Yin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bayesian model identification of higher-order frequency response functions for structures assembled by bolted joints

(2020) Rafael de O. Teloli et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bayesian Estimation for Stochastic Gene Expression Using Multifidelity Models

(2019) Huy D. Vo et al.   JOURNAL OF PHYSICAL CHEMISTRY B

Sequential Monte Carlo for on-line parameter estimation of a lumped building energy model

(2019) Simon Rouchier et al.   ENERGY AND BUILDINGS

Bayesian model-based clustering for longitudinal ordinal data

(2019) Roy Costilla et al.   COMPUTATIONAL STATISTICS

Surrogate Model Monte Carlo simulation for stochastic flutter analysis of wind turbine blades

(2019) Shaoning Li et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Semiparametric sieve maximum likelihood estimation for accelerated hazards model with interval-censored data

(2019) Zsolt Szabo et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

High-Dimensional Filtering Using Nested Sequential Monte Carlo

(2019) Christian A. Naesseth et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Cross-fertilising research in nonlinear system identification between the mechanical, control and machine learning fields

(2019) J.P. Noël et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Probabilistic damage identification incorporating approximate Bayesian computation with stochastic response surface

(2019) Sheng-En Fang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Stochastic modelling and updating of a joint contact interface

(2019) H. Jalali et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Structural damage identification using improved Jaya algorithm based on sparse regularization and Bayesian inference

(2019) Zhenghao Ding et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Mobile sensing of point-source gas emissions using Bayesian inference: An empirical examination of the likelihood function

(2019) Xiaochi Zhou et al.   ATMOSPHERIC ENVIRONMENT

Bayesian probabilistic prediction of precipitation behavior in Ni-Ti shape memory alloys

(2019) P. Honarmandi et al.   COMPUTATIONAL MATERIALS SCIENCE

A new moving strategy for the sequential Monte Carlo approach in optimizing the hydrological model parameters

(2018) Gaofeng Zhu et al.   ADVANCES IN WATER RESOURCES

Hybrid control variates-based simulation method for structural reliability analysis of some problems with low failure probability

(2018) Mohsen Rashki   APPLIED MATHEMATICAL MODELLING

Discussions on non-probabilistic convex modelling for uncertain problems

(2018) B.Y. Ni et al.   APPLIED MATHEMATICAL MODELLING

Model updating and uncertainty analysis for creep behavior of soft soil

(2018) Wan-Huan Zhou et al.   COMPUTERS AND GEOTECHNICS

A review of multiple try MCMC algorithms for signal processing

(2018) Luca Martino   DIGITAL SIGNAL PROCESSING

Multiresolution alignment for multiple unsynchronized audio sequences using sequential Monte Carlo samplers

(2018) Dogac Basaran et al.   DIGITAL SIGNAL PROCESSING

Model selection and parameter estimation in structural dynamics using approximate Bayesian computation

(2018) Anis Ben Abdessalem et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Learning of state-space models with highly informative observations: A tempered sequential Monte Carlo solution

(2018) Andreas Svensson et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

On-line Bayesian model updating for structural health monitoring

(2018) Roberto Rocchetta et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Identifying elastoplastic parameters with Bayes’ theorem considering double error sources and model uncertainty

(2018) H. Rappel et al.   PROBABILISTIC ENGINEERING MECHANICS

Structural health monitoring and fatigue damage estimation using vibration measurements and finite element model updating

(2018) Dimitrios Giagopoulos et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Unique fitting of electrochemical impedance spectra by random walk Metropolis Hastings algorithm

(2018) Kazuaki Kawahara et al.   JOURNAL OF POWER SOURCES

Probabilistic hierarchical Bayesian framework for time-domain model updating and robust predictions

(2018) Omid Sedehi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A multivariate interval approach for inverse uncertainty quantification with limited experimental data

(2018) Matthias Faes et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Uncertainty quantification in the mathematical modelling of a suspension strut using Bayesian inference

(2018) Shashidhar Mallapur et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The role of the Bhattacharyya distance in stochastic model updating

(2018) Sifeng Bi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Bayesian model updating approach for detection-related problems in water distribution networks

(2018) H.A. Jensen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A Bayesian inference framework for predicting the long-term deflection of concrete structures caused by creep and shrinkage

(2017) Bing Han et al.   ENGINEERING STRUCTURES

Bayesian forecasting and uncertainty quantifying of stream flows using Metropolis–Hastings Markov Chain Monte Carlo algorithm

(2017) Hongrui Wang et al.   JOURNAL OF HYDROLOGY

Guided wave-based identification of multiple cracks in beams using a Bayesian approach

(2017) Shuai He et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Robust nonlinear system identification: Bayesian mixture of experts using the t -distribution

(2017) Tara Baldacchino et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A new Gibbs sampling based algorithm for Bayesian model updating with incomplete complex modal data

(2017) Sai Hung Cheung et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Finite element model updating of concrete structures based on imprecise probability

(2017) S. Biswal et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Estimating the parameters of dynamical systems from Big Data using Sequential Monte Carlo samplers

(2017) P.L. Green et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Variance reduction for global response problem based on forward Monte Carlo calculation

(2017) Tao Shi et al.   NUCLEAR ENGINEERING AND DESIGN

astroABC : An Approximate Bayesian Computation Sequential Monte Carlo sampler for cosmological parameter estimation

(2017) E. Jennings et al.   Astronomy and Computing

An improved multidimensional parallelepiped non-probabilistic model for structural uncertainty analysis

(2016) B.Y. Ni et al.   APPLIED MATHEMATICAL MODELLING

Application of the transitional Markov chain Monte Carlo algorithm to probabilistic site characterization

(2016) Jianye Ching et al.   ENGINEERING GEOLOGY

Fatigue crack growth prediction in nuclear piping using Markov chain Monte Carlo simulation

(2016) R. Rastogi et al.   FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES

Transitional Markov Chain Monte Carlo: Observations and Improvements

(2016) Wolfgang Betz et al.   JOURNAL OF ENGINEERING MECHANICS

Uncertain boundary condition Bayesian identification from experimental data: A case study on a cantilever beam

(2016) T.G. Ritto et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Transitional Markov Chain Monte Carlo: Observations and Improvements

(2016) Wolfgang Betz et al.   JOURNAL OF ENGINEERING MECHANICS

Can local particle filters beat the curse of dimensionality?

(2015) Patrick Rebeschini et al.   ANNALS OF APPLIED PROBABILITY

Identification of Bouc–Wen type models using the Transitional Markov Chain Monte Carlo method

(2015) Gilberto A. Ortiz et al.   COMPUTERS & STRUCTURES

Bayesian model updating of a coupled-slab system using field test data utilizing an enhanced Markov chain Monte Carlo simulation algorithm

(2015) Heung-Fai Lam et al.   ENGINEERING STRUCTURES

A comparison of two stochastic model updating methods using the DLR AIRMOD test structure

(2015) Y. Govers et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bayesian system identification of dynamical systems using highly informative training data

(2015) P.L. Green et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Dealing with uncertainty in model updating for damage assessment: A review

(2015) Ellen Simoen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A general sequential Monte Carlo method based optimal wavelet filter: A Bayesian approach for extracting bearing fault features

(2015) Dong Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel Bayesian approach for structural model updating utilizing statistical modal information from multiple setups

(2015) Wang-Ji Yan et al.   STRUCTURAL SAFETY

Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials

(2014) P.E. Hadjidoukas et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Metropolis–Hastings thermal state sampling for numerical simulations of Bose–Einstein condensates

(2014) Pjotrs Grišins et al.   COMPUTER PHYSICS COMMUNICATIONS

A maximum-likelihood method for estimating parameters, stochastic disturbance intensities and measurement noise variances in nonlinear dynamic models with process disturbances

(2014) Hadiseh Karimi et al.   COMPUTERS & CHEMICAL ENGINEERING

Sequential Monte Carlo Methods for High-Dimensional Inverse Problems: A Case Study for the Navier--Stokes Equations

(2014) Nikolas Kantas et al.   SIAM-ASA Journal on Uncertainty Quantification

Stochastic reconstruction of multiple source atmospheric contaminant dispersion events

(2013) Derek Wade et al.   ATMOSPHERIC ENVIRONMENT

A 3D hybrid BE–FE solution to the forward problem of electrical impedance tomography

(2013) P. Ghaderi Daneshmand et al.   ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS

On prediction error correlation in Bayesian model updating

(2013) Ellen Simoen et al.   JOURNAL OF SOUND AND VIBRATION

Prognostics uncertainty reduction by fusing on-line monitoring data based on a state-space-based degradation model

(2013) Jianzhong Sun et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Component-Wise Markov Chain Monte Carlo: Uniform and Geometric Ergodicity under Mixing and Composition

(2013) Alicia A. Johnson et al.   STATISTICAL SCIENCE

Reliability-based optimal design of linear structures subjected to stochastic excitations

(2013) Jia Wang et al.   STRUCTURAL SAFETY

Selecting creep models using Bayesian methods

(2012) Holger Keitel et al.   MATERIALS AND STRUCTURES

Connecting Bayesian and frequentist quantification of parameter uncertainty in system identification

(2012) Siu-Kui Au   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A probabilistic damage detection approach using vibration-based nondestructive testing

(2012) Qindan Huang et al.   STRUCTURAL SAFETY

Reliability-based design optimization of adhesive bonded steel–concrete composite beams with probabilistic and non-probabilistic uncertainties

(2011) Yangjun Luo et al.   ENGINEERING STRUCTURES

Investigation of model uncertainties in Bayesian structural model updating

(2011) B. Goller et al.   JOURNAL OF SOUND AND VIBRATION

Riemann manifold Langevin and Hamiltonian Monte Carlo methods

(2011) Mark Girolami et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Model selection, updating, and averaging for probabilistic fatigue damage prognosis

(2011) Xuefei Guan et al.   STRUCTURAL SAFETY

Galerkin boundary element method for the forward problem of ERT

(2010) Yaoyuan Xu et al.   FLOW MEASUREMENT AND INSTRUMENTATION

Interval model updating with irreducible uncertainty using the Kriging predictor

(2010) Hamed Haddad Khodaparast et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The sensitivity method in finite element model updating: A tutorial

(2010) John E. Mottershead et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Inference for Lévy-Driven Stochastic Volatility Models via Adaptive Sequential Monte Carlo

(2010) AJAY JASRA et al.   SCANDINAVIAN JOURNAL OF STATISTICS

Uncertainty Quantification in Reservoir Performance Using Distances and Kernel Methods--Application to a West Africa Deepwater Turbidite Reservoir

(2010) Céline Scheidt et al.   SPE JOURNAL

The pseudo-marginal approach for efficient Monte Carlo computations

(2009) Christophe Andrieu et al.   ANNALS OF STATISTICS

Detection and quantification of flaws in structures by the extended finite element method and genetic algorithms

(2009) Haim Waisman et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Examples of Adaptive MCMC

(2009) Gareth O. Roberts et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Stochastic event reconstruction of atmospheric contaminant dispersion using Bayesian inference

(2008) Inanc Senocak et al.   ATMOSPHERIC ENVIRONMENT

Obstacles to High-Dimensional Particle Filtering

(2008) Chris Snyder et al.   MONTHLY WEATHER REVIEW

Optimal acceptance rates for Metropolis algorithms: Moving beyond 0.234

(2008) Mylène Bédard   STOCHASTIC PROCESSES AND THEIR APPLICATIONS