Efficient construction of Bayes optimal designs for stochastic process models
Sign Up to like & getrecommendations! Published in 2019 at "Statistics and Computing"
DOI: 10.1007/s11222-018-9833-3
Abstract: Stochastic process models are now commonly used to analyse complex biological, ecological and industrial systems. Increasingly there is a need to deliver accurate estimates of model parameters and assess model fit by optimizing the timing… read more here.
Keywords: process models; stochastic process; bayes optimal; designs stochastic ... See more keywords
Bayes-Optimal Set-Valued Tracking of Single Point Targets
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DOI: 10.1109/access.2021.3077458
Abstract: Conventional single-point-target tracking algorithms are recursive point estimators with point-measurement input data. In less well-known approaches, the tracking algorithm is a recursive set estimator with point-measurement or set-measurement input data. This paper provides a very… read more here.
Keywords: bayes optimal; set valued; optimal set; valued tracking ... See more keywords
Bayes-Optimal Convolutional AMP
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DOI: 10.1109/tit.2021.3077471
Abstract: This paper proposes Bayes-optimal convolutional approximate message-passing (CAMP) for signal recovery in compressed sensing. CAMP uses the same low-complexity matched filter (MF) for interference suppression as approximate message-passing (AMP). To improve the convergence property of… read more here.
Keywords: bayes optimal; sensing matrices; optimal convolutional; amp ... See more keywords