James L. Beck

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All published works

Action	Title	Year	Authors
+ PDF Chat	Irreversible and dissipative systems	2024	James L. Beck William Chen Yihao Yang
+	Relativistic Mechanics Theory for Electrons that Exhibits Spin, Zitterbewegung, Superposition and Produces Dirac's Wave Equation	2021	James L. Beck
+	Probabilistic Comparison of Destructive Re-entry Tools	2021	James L. Beck Ian Holbrough Jim Merrifield Stijn Lemmens
+	Relativistic Mechanics Theory for Electrons that Exhibits Spin, Zitterbewegung, Superposition and Produces Dirac's Wave Equation	2021	James L. Beck
+	Exploiting convexification for Bayesian optimal sensor placement by maximization of mutual information	2020	Pinaky Bhattacharyya James L. Beck
+	Exploiting Convexification for Bayesian Optimal Sensor Placement by Maximization of Mutual Information	2019	Pinaky Bhattacharyya James L. Beck
+	Exploiting Convexification for Bayesian Optimal Sensor Placement by Maximization of Mutual Information	2019	Pinaky Bhattacharyya James L. Beck
+ PDF Chat	Hierarchical Stochastic Model in Bayesian Inference for Engineering Applications: Theoretical Implications and Efficient Approximation	2018	Stephen Wu Panagiotis Angelikopoulos James L. Beck Petros Koumoutsakos
+	Bayesian Updating and Uncertainty Quantification using Sequential Tempered MCMC with the Rank-One Modified Metropolis Algorithm	2018	Thomas Catanach James L. Beck
+	Bayesian inference with reliability methods without knowing the maximum of the likelihood function	2018	Wolfgang Betz James L. Beck Iason Papaioannou Dániel Straub
+ PDF Chat	Using Approximate Bayesian Computation by Subset Simulation for Efficient Posterior Assessment of Dynamic State-Space Model Classes	2018	Majid Khorsand Vakilzadeh James L. Beck Thomas Abrahamsson
+	Contrasting Implications of the Frequentist and Bayesian Interpretations of Probability when Applied to Quantum Mechanics Theory	2018	James L. Beck
+	Theoretical and Experimental Progress in the understandingof destructive re-entry	2018	James L. Beck Ian Holbough Thorn Schleutker Ali Gülhan
+	Bayesian Updating and Uncertainty Quantification using Sequential Tempered MCMC with the Rank-One Modified Metropolis Algorithm	2018	Thomas Catanach James L. Beck
+ PDF Chat	Bayesian inference with Subset Simulation: Strategies and improvements	2017	Wolfgang Betz Iason Papaioannou James L. Beck Dániel Straub
+	Rare Event Simulation	2017	James L. Beck Konstantin M. Zuev
+ PDF Chat	Bayesian system identification based on hierarchical sparse Bayesian learning and Gibbs sampling with application to structural damage assessment	2017	Yong Huang James L. Beck Hui Li
+	Approximate Bayesian Computation by Subset Simulation for model selection in dynamical systems	2017	Majid Khorsand Vakilzadeh James L. Beck Thomas Abrahamsson
+	Using Approximate Bayesian Computation by Subset Simulation for Efficient Posterior Assessment of Dynamic State-Space Model Classes	2016	Majid Khorsand Vakilzadeh James L. Beck Thomas Abrahamsson
+	Approximate Bayesian Computation by Subset Simulation using hierarchical state-space models	2016	Majid Khorsand Vakilzadeh Yong Huang James L. Beck Thomas Abrahamsson
+	Approximate Bayesian Computation by Subset Simulation for Parameter Inference of Dynamical Models	2016	Majid Khorsand Vakilzadeh Yong Huang James L. Beck Thomas Abrahamsson
+	Hierarchical Stochastic Model in Bayesian Inference: Theoretical Implications and Efficient Approximation	2016	Stephen Wu Panagiotis Angelikopoulos James L. Beck Petros Koumoutsakos
+	Using Approximate Bayesian Computation by Subset Simulation for Efficient Posterior Assessment of Dynamic State-Space Model Classes	2016	Majid Khorsand Vakilzadeh James L. Beck Thomas Abrahamsson
+	A New Adaptive Rejection Sampling Method Using Kernel Density Approximations and Its Application to Subset Simulation	2015	Gaofeng Jia Alexandros A. Taflanidis James L. Beck
+	Robust Bayesian compressive sensing with data loss recovery for structural health monitoring signals	2015	Yong Huang James L. Beck Stephen Wu Hui Li
+ PDF Chat	HIERARCHICAL SPARSE BAYESIAN LEARNING FOR STRUCUTRAL HEALTH MONITORING WITH INCOMPLETE MODAL DATA	2015	Yong Huang James L. Beck
+	Hierarchical sparse Bayesian learning: theory and application for inferring structural damage from incomplete modal data	2015	Yong Huang James L. Beck
+	Rare Event Simulation	2015	James L. Beck Konstantin M. Zuev
+ PDF Chat	Asymptotically Independent Markov Sampling: A New MCMC Scheme for Bayesian Inference	2014	Konstantin M. Zuev James L. Beck
+	Approximate Bayesian Computation by Subset Simulation	2014	Manuel Chiachío James L. Beck Juan Chiachío Guillermo Rus
+ PDF Chat	Approximate Bayesian Computation by Subset Simulation	2014	Manuel Chiachío James L. Beck Juan Chiachío Guillermo Rus
+	Approximate Bayesian Computation by Subset Simulation	2014	Manuel Chiachío James L. Beck Juan Chiachío Guillermo Rus
+ PDF Chat	Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring	2013	Yong Huang James L. Beck Stephen Wu Hui Li
+	Global optimization using the asymptotically independent Markov sampling method	2013	Konstantin M. Zuev James L. Beck
+ PDF Chat	ASYMPTOTICALLY INDEPENDENT MARKOV SAMPLING: A NEW MARKOV CHAIN MONTE CARLO SCHEME FOR BAYESIAN INFERENCE	2012	James L. Beck Konstantin M. Zuev
+ PDF Chat	Bayesian post-processor and other enhancements of Subset Simulation for estimating failure probabilities in high dimensions	2011	Konstantin M. Zuev James L. Beck Siu‐Kui Au Lambros S. Katafygiotis
+	Bayesian Post-Processor and other Enhancements of Subset Simulation for Estimating Failure Probabilities in High Dimensions	2011	Konstantin M. Zuev James L. Beck Siu‐Kui Au Lambros S. Katafygiotis
+	Asymptotically Independent Markov Sampling: a new MCMC scheme for Bayesian Inference	2011	James L. Beck Konstantin M. Zuev
+ PDF Chat	On the optimal scaling of the Modified Metropolis-Hastings algorithm	2011	Konstantin M. Zuev James L. Beck Lambros S. Katafygiotis
+	Bayesian Post-Processor and other Enhancements of Subset Simulation for Estimating Failure Probabilities in High Dimensions	2011	Konstantin M. Zuev James L. Beck Siu‐Kui Au Lambros S. Katafygiotis
+	Asymptotically Independent Markov Sampling: a new MCMC scheme for Bayesian Inference	2011	James L. Beck Konstantin M. Zuev
+	Bayesian system identification based on probability logic	2010	James L. Beck
+	New Bayesian Updating Methodology for Model Validation and Robust Predictions Based on Data from Hierarchical Subsystem Tests	2008	Sai Hung Cheung James L. Beck
+	Analytical approximation for stationary reliability of certain and uncertain linear dynamic systems with higher-dimensional output	2006	Alexandros A. Taflanidis James L. Beck
+	First excursion probabilities for linear systems by very efficient importance sampling	2001	Siu‐Kui Au James L. Beck
+	A new adaptive importance sampling scheme for reliability calculations	1999	Siu‐Kui Au James L. Beck
+	Treatment of Multiple Design Points in Reliability Methods	1998	Siu‐Kui Au Costas Papadimitriou James L. Beck
+	Generalized Trajectory Methods for Finding Multiple Extrema and Roots of Functions	1998	C. M. Yang James L. Beck
+	Summary of Workshop Discussion	1988	James L. Beck

Common Coauthors

Coauthor	Papers Together
Konstantin M. Zuev	11
Yong Huang	7
Majid Khorsand Vakilzadeh	6
Siu‐Kui Au	6
Thomas Abrahamsson	6
Stephen Wu	4
Lambros S. Katafygiotis	4
Pinaky Bhattacharyya	3
Manuel Chiachío	3
Guillermo Rus	3
Juan Chiachío	3
Dániel Straub	2
Thomas Catanach	2
Alexandros A. Taflanidis	2
Petros Koumoutsakos	2
Wolfgang Betz	2
Panagiotis Angelikopoulos	2
Iason Papaioannou	2
Gaofeng Jia	1
Thorn Schleutker	1
Costas Papadimitriou	1
Jim Merrifield	1
Ian Holbrough	1
Yihao Yang	1
Hui Li	1
Ali Gülhan	1
C. M. Yang	1
Sai Hung Cheung	1
Hui Li	1
Stijn Lemmens	1
Ian Holbough	1
William Chen	1
Hui Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Bayesian system identification based on probability logic	2010	James L. Beck	18
+	Transitional Markov Chain Monte Carlo Method for Bayesian Model Updating, Model Class Selection, and Model Averaging	2007	Jianye Ching Ying‐Chu Chen	13
+ PDF Chat	Bayesian post-processor and other enhancements of Subset Simulation for estimating failure probabilities in high dimensions	2011	Konstantin M. Zuev James L. Beck Siu‐Kui Au Lambros S. Katafygiotis	12
+	Probability theory : the logic of science	2003	E. T. Jaynes	11
+	Probabilistic Inference Using Markov Chain Monte Carlo Methods	2011	Radford M. Neal	9
+ PDF Chat	Approximate Bayesian Computation by Subset Simulation	2014	Manuel Chiachío James L. Beck Juan Chiachío Guillermo Rus	8
+ PDF Chat	ASYMPTOTICALLY INDEPENDENT MARKOV SAMPLING: A NEW MARKOV CHAIN MONTE CARLO SCHEME FOR BAYESIAN INFERENCE	2012	James L. Beck Konstantin M. Zuev	7
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	7
+ PDF Chat	Markov Chains for Exploring Posterior Distributions	1994	Luke Tierney	6
+	Sequential Monte Carlo without likelihoods	2007	Scott A. Sisson Yanan Fan Mark M. Tanaka	6
+ PDF Chat	Approximate Bayesian computational methods	2011	Jean‐Michel Marin Pierre Pudlo Christian P. Robert Robin Ryder	6
+	Inference for Stereological Extremes	2007	Paola Bortot Stuart Coles Scott A. Sisson	6
+ PDF Chat	Estimation of Parameters for Macroparasite Population Evolution Using Approximate Bayesian Computation	2010	Christopher Drovandi A. N. Pettitt	6
+ PDF Chat	An adaptive sequential Monte Carlo method for approximate Bayesian computation	2011	Pierre Del Moral Arnaud Doucet Ajay Jasra	6
+ PDF Chat	Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems	2008	Tina Toni David Welch Natalja Strelkowa Andreas Ipsen Michael P. H. Stumpf	6
+	Approximate Bayesian Computation by Subset Simulation using hierarchical state-space models	2016	Majid Khorsand Vakilzadeh Yong Huang James L. Beck Thomas Abrahamsson	6
+ PDF Chat	Likelihood-free estimation of model evidence	2011	Xavier Didelot Richard G. Everitt Adam M. Johansen Daniel J. Lawson	5
+ PDF Chat	Bayesian Interpolation	1992	David Mackay	5
+ PDF Chat	Adaptive approximate Bayesian computation	2009	Mark Beaumont J. M. Cornuet Jean‐Michel Marin Christian P. Robert	5
+	Efficient Metropolis Jumping Rules	1996	Andrew Gelman Gareth O. Roberts Walter R. Gilks	4
+	First excursion probabilities for linear systems by very efficient importance sampling	2001	Siu‐Kui Au James L. Beck	4
+	AN ESSAY TOWARDS SOLVING A PROBLEM IN THE DOCTRINE OF CHANCES	1958	BAYES	4
+	Methods of Reducing Sample Size in Monte Carlo Computations	1953	Herman Kahn Andrew W. Marshall	4
+ PDF Chat	Approximate Bayesian computation (ABC) gives exact results under the assumption of model error	2013	R. Wilkinson	4
+	Sequential Imputations and Bayesian Missing Data Problems	1994	Augustine Kong Jun S. Liu Wing Hung Wong	4
+	None	2001	Radford M. Neal	4
+ PDF Chat	Sequential Monte Carlo Samplers	2006	Pierre Del Moral Arnaud Doucet Ajay Jasra	4
+	Examples of Adaptive MCMC	2009	Gareth O. Roberts Jeffrey S. Rosenthal	4
+	Metropolized independent sampling with comparisons to rejection sampling and importance sampling	1996	Jun S. Liu	4
+ PDF Chat	Handbook of Markov Chain Monte Carlo	2011	Steve Brooks Andrew Gelman Galin L. Jones Xiao‐Li Meng	4
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	4
+	Markov Chain Monte Carlo in Practice	1995	Walter R. Gilks Sylvia Richardson David J. Spiegelhalter	4
+	The Monte Carlo Method	1949	N. Metropolis Stanislaw M. Ulam	4
+	Theorie analytique des probabilites	1812	Pierre-Simon Marquis de Laplace	3
+ PDF Chat	Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring	2013	Yong Huang James L. Beck Stephen Wu Hui Li	3
+	Bayesian Inference in Econometric Models Using Monte Carlo Integration	1989	John Geweke	3
+	Optimal scaling for various Metropolis-Hastings algorithms	2001	Gareth O. Roberts Jeffrey S. Rosenthal	3
+	MCMC algorithms for Subset Simulation	2015	Iason Papaioannou Wolfgang Betz Kilian Zwirglmaier Dániel Straub	3
+ PDF Chat	Bayesian updating and model class selection with Subset Simulation	2017	F.A. DiazDelaO Alfredo Garbuno-Iñigo Siu‐Kui Au Ikumasa Yoshida	3
+ PDF Chat	Annealing Markov Chain Monte Carlo with Applications to Ancestral Inference	1995	Charles J. Geyer E. A. Thompson	3
+	A critical appraisal of reliability estimation procedures for high dimensions	2004	G.I. Schuëller H.J. Pradlwarter Phaedon‐Stelios Koutsourelakis	3
+ PDF Chat	Monte Carlo Statistical Methods	2000	Hoon Kim Christian P. Robert George Casella	3
+	Generalized Trajectory Methods for Finding Multiple Extrema and Roots of Functions	1998	C. M. Yang James L. Beck	3
+	Sampling from multimodal distributions using tempered transitions	1996	Radford M. Neal	3
+ PDF Chat	Simulated Tempering: A New Monte Carlo Scheme	1992	Enzo Marinari Giorgio Parisi	3
+	Application of spherical subset simulation method and auxiliary domain method on a benchmark reliability study	2007	Lambros S. Katafygiotis Sai Hung Cheung	3
+	A tutorial on adaptive MCMC	2008	Christophe Andrieu Johannes Thoms	3
+	Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review	1996	Mary Kathryn Cowles Bradley P. Carlin	3
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	3
+	Methodology for Optimum Sensor Locations for Parameter Identification in Dynamic Systems	1994	Firdaus E. Udwadia	2