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pro vyhledávání: '"Beck, James L."'
Autor:
Beck, James L.
A neo-classical relativistic mechanics theory is presented where the spin of an electron is a natural part of its space-time path as a point particle. The fourth-order equation of motion corresponds to the same Lagrangian function in proper time as i
Externí odkaz:
http://arxiv.org/abs/2108.07267
Publikováno v:
In Mechanical Systems and Signal Processing 15 August 2023 197
Autor:
Bhattacharyya, Pinaky, Beck, James L.
Bayesian optimal sensor placement, in its full generality, seeks to maximize the mutual information between uncertain model parameters and the predicted data to be collected from the sensors for the purpose of performing Bayesian inference. Equivalen
Externí odkaz:
http://arxiv.org/abs/1906.05953
Autor:
Catanach, Thomas A., Beck, James L.
Bayesian methods are critical for quantifying the behaviors of systems. They capture our uncertainty about a system's behavior using probability distributions and update this understanding as new information becomes available. Probabilistic predictio
Externí odkaz:
http://arxiv.org/abs/1804.08738
Autor:
Beck, James L.
An examination is made of the differing implications from applying the two mainstream interpretations of probability, frequentist and Bayesian, to QM (quantum mechanics) theory for the Bohm-EPR experiment. The joint probability distribution for the p
Externí odkaz:
http://arxiv.org/abs/1804.02106
The focus in this paper is Bayesian system identification based on noisy incomplete modal data where we can impose spatially-sparse stiffness changes when updating a structural model. To this end, based on a similar hierarchical sparse Bayesian learn
Externí odkaz:
http://arxiv.org/abs/1701.03550
Autor:
Beck, James L.1 (AUTHOR) jimbeck@caltech.edu
Publikováno v:
Foundations of Physics. Jun2023, Vol. 53 Issue 3, p1-39. 39p.
We classify two types of Hierarchical Bayesian Model found in the literature as Hierarchical Prior Model (HPM) and Hierarchical Stochastic Model (HSM). Then, we focus on studying the theoretical implications of the HSM. Using examples of polynomial f
Externí odkaz:
http://arxiv.org/abs/1611.02818
Approximate Bayesian Computation (ABC) methods have gained in their popularity over the last decade because they expand the horizon of Bayesian parameter inference methods to the range of models for which only forward simulation is available. The maj
Externí odkaz:
http://arxiv.org/abs/1608.01455
Publikováno v:
In Mechanical Systems and Signal Processing 1 June 2021 154