183 research outputs found
Decentralized Approximate Bayesian Inference for Distributed Sensor Network
No full textBayesian models provide a framework for probabilistic modelling of complex datasets. Many such models are computationally demanding, especially in the presence of large datasets. In sensor network applications, statistical (Bayesian) parameter estimation usually relies on decentralized algorithms, in which both data and computation are distributed across the nodes of the network. In this paper we propose a framework for decentralized Bayesian learning using Bregman Alternating Direction Method of Multipliers (B-ADMM).We demonstrate the utility of our framework, with Mean Field Variational Bayes (MFVB) as the primitive for distributed affine structure from motion (SfM).Peer reviewe
Estimating the branching fraction for decay
No full textI present estimates of the branching fractions in the non-leptonic charmonium
two-body decay rates for decay and the same
decays of , and
. These estimates are based on a generalized
factorization approach making use of leading order (LO) and next-to-leading
order (NLO) contributions. I find that when the large enhancements from the
known NLO contributions by using the QCD factorization approach are taken into
account, the branching ratios are the following: , , and , while the experimental results are
, , and respectively. All
estimates are in good agreement with the experimental results.Comment: Repeated topi
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