Search Results - Bayesian inversion algorithm

New Trends in Parameter Identification for Mathematical Models

Table of Contents: “…Posterior contraction in Bayesian inverse problems under Gaussian priors -- Convex regularization of discrete-valued inverse problems -- Algebraic reconstruction of source and attenuation in SPECT using first scattering measurements -- On l1-regularization under continuity of the forward operator in weaker topologies -- On self-regularization of ill-posed problems in Banach spaces by projection methods -- Monotonicity-based regularization for phantom experiment data in electrical impedance tomography -- An SVD in Spherical Surface Wave Tomography -- Numerical Studies of Recovery Chances for a Simplified EIT Problem -- Bayesian updating in the determination of forces in Euler-Bernoulli beams -- On nonstationary iterated Tikhonov methods for ill posed equation in Banach spaces -- The product midpoint rule for Abel-type integral equations of the first kind with perturbed data -- Heuristic parameter choice in Tikhonov method form minimizers of the quasi-optimality function -- Modification of Iterative Tikhonov Regularization Motivated by a Problem of Identification of Laser Beam Quality Parameters -- Tomographic terahertz imaging using sequential subspace optimization -- Adaptivity and Oracle Inequalities in Linear Statistical Inverse Problems: a (numerical) survey -- Relaxing Alternating Direction Method of Multipliers (ADMM) algorithm for linear inverse problems.…”

Handbook of Big Data Analytics

Table of Contents: “…Wells) -- Hypothesis Testing for High-Dimensional Data (Wei Biao Wu, Zhipeng Lou and Yuefeng Han) -- High-Dimensional Classification (Hui Zou) -- Analysis of High-Dimensional Regression Models Using Orthogonal Greedy Algorithms (Hsiang-Ling Hsu, Ching-Kang Ing and Tze Leung Lai) -- Semi-Supervised Smoothing for Large Data Problems (Mark Vere Culp, Kenneth Joseph Ryan and George Michailidis) -- Inverse Modeling: A Strategy to Cope with Non-Linearity (Qian Lin, Yang Li and Jun S. …”

Handbook of Mathematical Geosciences Fifty Years of IAMG /

Table of Contents: “…Chapter 1 Kriging, Splines, Conditional Simulation, Bayesian In-version and Ensemble Kalman Filtering -- 5. …”

New Trends in Emerging Complex Real Life Problems ODS, Taormina, Italy, September 10-13, 2018 /

Table of Contents: “…Perego, Antonio Candelieri, and Francesco Archetti, Bayesian Optimization for Full Waveform Inversion -- 29 M. …”