Suchergebnisse - Bayesian regularization algorithm

New Trends in Parameter Identification for Mathematical Models

Inhaltsangabe: “… 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. …”

Dynamic factor models

Monte Carlo and Quasi-Monte Carlo Methods MCQMC 2016, Stanford, CA, August 14-19 /

Inhaltsangabe: “… Frazier, Stratified Bayesian Optimization -- Part III Regular talks, Christoph Aistleitner, Dmitriy Bilyk, and Aleksandar Nikolov, Tusnady's Problem, the Transference Principle, and Non-Uniform QMC Sampling -- Ken Dahm and Alexander Keller, Learning Light Transport the Reinforced Way -- Adrian Ebert, Hernan Leovey, and Dirk Nuyens, Successive Coordinate Search and Component-by-Component Construction of Rank-1 Lattice Rules -- Wei Fang and Michael B.  …”

Mathematical and Statistical Methods for Actuarial Sciences and Finance MAF 2018 /

Inhaltsangabe: “… Vannucci, The Rearrangement algorithm of Puccetti and Rüschendorf: proving the convergence -- 3 R.  …”