Multi-model polynomial chaos surrogate dictionary for Bayesian inference in elasticity problems
暂无分享,去创建一个
[1] W. Aquino,et al. Stochastic reduced order models for inverse problems under uncertainty. , 2015, Computer methods in applied mechanics and engineering.
[2] O. Knio,et al. Drag Parameter Estimation Using Gradients and Hessian from a Polynomial Chaos Model Surrogate , 2014 .
[3] Marco A. Iglesias,et al. Well-posed Bayesian geometric inverse problems arising in subsurface flow , 2014, 1401.5571.
[4] Akhtar A. Khan,et al. An equation error approach for the elasticity imaging inverse problem for predicting tumor location , 2014, Comput. Math. Appl..
[5] Omar Ghattas,et al. Site characterization using full waveform inversion , 2013 .
[6] Marc Bonnet,et al. Large Scale Parameter Estimation Problems in Frequency-Domain Elastodynamics Using an Error in Constitutive Equation Functional. , 2013, Computer methods in applied mechanics and engineering.
[7] Michael McVay,et al. Site characterization using Gauss–Newton inversion of 2-D full seismic waveform in the time domain , 2012 .
[8] P. S. Koutsourelakis,et al. A novel Bayesian strategy for the identification of spatially varying material properties and model validation: an application to static elastography , 2012, 1512.05913.
[9] Omar M. Knio,et al. Global sensitivity analysis in an ocean general circulation model: a sparse spectral projection approach , 2012, Computational Geosciences.
[10] B. D. Reddy,et al. Introduction to finite element analysis and recent developments , 2012 .
[11] Zhishen Wu,et al. Vibration‐Based Damage Localization in Flexural Structures Using Normalized Modal Macrostrain Techniques from Limited Measurements , 2011, Comput. Aided Civ. Infrastructure Eng..
[12] Franck Schoefs,et al. Polynomial Chaos Representation for Identification of Mechanical Characteristics of Instrumented Structures , 2011, Comput. Aided Civ. Infrastructure Eng..
[13] Sami F. Masri,et al. Finite Element Model Updating Using Evolutionary Strategy for Damage Detection , 2011, Comput. Aided Civ. Infrastructure Eng..
[14] Dirk P. Kroese,et al. Kernel density estimation via diffusion , 2010, 1011.2602.
[15] O. L. Maître,et al. Spectral Methods for Uncertainty Quantification: With Applications to Computational Fluid Dynamics , 2010 .
[16] Mostafa Fatemi,et al. An Inverse Problem Approach for Elasticity Imaging through Vibroacoustics , 2010, IEEE Transactions on Medical Imaging.
[17] Haim Azhari,et al. A Method for Characterization of Tissue Elastic Properties Combining Ultrasonic Computed Tomography With Elastography , 2010, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.
[18] Omar M. Knio,et al. Spectral Methods for Uncertainty Quantification , 2010 .
[19] Y. Marzouk,et al. A stochastic collocation approach to Bayesian inference in inverse problems , 2009 .
[20] Nicholas Zabaras,et al. An efficient Bayesian inference approach to inverse problems based on an adaptive sparse grid collocation method , 2009 .
[21] Bangti Jin,et al. Fast Bayesian approach for parameter estimation , 2008 .
[22] Fabio Nobile,et al. A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data , 2008, SIAM J. Numer. Anal..
[23] Baskar Ganapathysubramanian,et al. A scalable framework for the solution of stochastic inverse problems using a sparse grid collocation approach , 2008, J. Comput. Phys..
[24] Bangti Jin,et al. Inversion of Robin coefficient by a spectral stochastic finite element approach , 2008, J. Comput. Phys..
[25] Habib N. Najm,et al. Stochastic spectral methods for efficient Bayesian solution of inverse problems , 2005, J. Comput. Phys..
[26] Fabio Nobile,et al. A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data , 2007, SIAM Rev..
[27] M. Fink,et al. Nonlinear viscoelastic properties of tissue assessed by ultrasound , 2006, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[28] Roger Ghanem,et al. Stochastic inversion in acoustic scattering , 2006 .
[29] Yalchin Efendiev,et al. Preconditioning Markov Chain Monte Carlo Simulations Using Coarse-Scale Models , 2006, SIAM J. Sci. Comput..
[30] C. Fox,et al. Markov chain Monte Carlo Using an Approximation , 2005 .
[31] Yalchin Efendiev,et al. An efficient two‐stage Markov chain Monte Carlo method for dynamic data integration , 2005 .
[32] R. B. Jackson,et al. Hydrological consequences of Eucalyptus afforestation in the Argentine Pampas , 2005 .
[33] Nicholas Zabaras,et al. Using Bayesian statistics in the estimation of heat source in radiation , 2005 .
[34] Elisa E Konofagou,et al. Estimation of material elastic moduli in elastography: a local method, and an investigation of Poisson's ratio sensitivity. , 2004, Journal of biomechanics.
[35] N. Zabaras,et al. Stochastic inverse heat conduction using a spectral approach , 2004 .
[36] J Bercoff,et al. Monitoring Thermally-Induced Lesions with Supersonic Shear Imaging , 2004, Ultrasonic imaging.
[37] Panos G. Georgopoulos,et al. Uncertainty reduction and characterization for complex environmental fate and transport models: An empirical Bayesian framework incorporating the stochastic response surface method , 2003 .
[38] J. Greenleaf,et al. Selected methods for imaging elastic properties of biological tissues. , 2003, Annual review of biomedical engineering.
[39] Diane M. McKnight,et al. Transport and cycling of iron and hydrogen peroxide in a freshwater stream: Influence of organic acids , 2003 .
[40] Habib N. Najm,et al. A multigrid solver for two-dimensional stochastic diffusion equations , 2003 .
[41] Assad A. Oberai,et al. INVERSE PROBLEMS PII: S0266-5611(03)54272-1 Solution of inverse problems in elasticity imaging using the adjoint method , 2003 .
[42] James O. Berger,et al. Markov chain Monte Carlo-based approaches for inference in computationally intensive inverse problems , 2003 .
[43] M. Fink,et al. Shear elasticity probe for soft tissues with 1-D transient elastography , 2002, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[44] A. Mohammad-Djafari. Bayesian inference for inverse problems , 2001, physics/0110093.
[45] Luis Tenorio,et al. Statistical Regularization of Inverse Problems , 2001, SIAM Rev..
[46] Aleksey V. Nenarokomov,et al. Uncertainties in parameter estimation: the optimal experiment design , 2000 .
[47] R. Ghanem,et al. Iterative solution of systems of linear equations arising in the context of stochastic finite elements , 2000 .
[48] J. Bishop,et al. Visualization and quantification of breast cancer biomechanical properties with magnetic resonance elastography. , 2000, Physics in medicine and biology.
[49] J F Greenleaf,et al. Vibro-acoustography: an imaging modality based on ultrasound-stimulated acoustic emission. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[50] A. Mohammad-Djafari. A full Bayesian approach for inverse problems , 2001, physics/0111123.
[51] W. O’Brien,et al. Young's modulus measurements of soft tissues with application to elasticity imaging , 1996, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[52] Jonathan Richard Shewchuk,et al. Triangle: Engineering a 2D Quality Mesh Generator and Delaunay Triangulator , 1996, WACG.
[53] J. Besag,et al. Bayesian Computation and Stochastic Systems , 1995 .
[54] C. Sumi,et al. Estimation of shear modulus distribution in soft tissue from strain distribution , 1995, IEEE Transactions on Biomedical Engineering.
[55] L. Tierney. Markov Chains for Exploring Posterior Distributions , 1994 .
[56] K. R. Raghavan,et al. Forward and inverse problems in elasticity imaging of soft tissues , 1994 .
[57] Ali Mohammad-Djafari,et al. On the estimation of hyperparameters in Bayesian approach of solving inverse problems , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[58] R. Ghanem,et al. Stochastic Finite Elements: A Spectral Approach , 1990 .
[59] K J Parker,et al. Tissue response to mechanical vibrations for "sonoelasticity imaging". , 1990, Ultrasound in medicine & biology.
[60] J. Achenbach. THE LINEARIZED THEORY OF ELASTICITY , 1973 .