Results 21 to 30 of about 136,474,496 (243)
Maximum a Posteriori Estimation by Search in Probabilistic Programs
Proceedings of the International Symposium on Combinatorial Search, 2021 We introduce an approximate search algorithm for fast maximum a posteriori probability estimation in probabilistic programs, which we call Bayesian ascent Monte Carlo (BaMC). Probabilistic programs represent probabilistic models with varying number of mutually dependent finite, countable, and continuous random variables.
Tolpin, D, Wood, F
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A Cautionary Note Regarding Multilevel Factor Score Estimates from Lavaan
Psych, 2023 To compute factor score estimates, lavaan version 0.6–12 offers the function lavPredict( ) that can not only be applied in single-level modeling but also in multilevel modeling, where characteristics of higher-level units such as working environments or ...
Steffen Zitzmann
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IEEE Open Journal of Signal Processing, 2021 Smoothing and sharpening are two fundamental image processing operations. The latter is usually related to the former through the unsharp masking algorithm.
Guang Deng +3 more
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Maximum a posteriori estimators as a limit of Bayes estimators [PDF]
Mathematical Programming, 2018 Maximum a posteriori and Bayes estimators are two common methods of point estimation in Bayesian Statistics. It is commonly accepted that maximum a posteriori estimators are a limiting case of Bayes estimators with 0-1 loss. In this paper, we provide a counterexample which shows that in general this claim is false.
Robert L. Bassett, Julio Deride
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Real-time maximum a-posteriori image reconstruction for fluorescence microscopy
AIP Advances, 2015 Rapid reconstruction of multidimensional image is crucial for enabling real-time 3D fluorescence imaging. This becomes a key factor for imaging rapidly occurring events in the cellular environment.
Anwar A. Jabbar +4 more
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Localization Algorithm Based on Maximum a Posteriori in Wireless Sensor Networks
International Journal of Distributed Sensor Networks, 2011 Many applications and protocols in wireless sensor networks need to know the locations of sensor nodes. A low-cost method to localize sensor nodes is to use received signal strength indication (RSSI) ranging technique together with the least-squares ...
Kezhong Lu +4 more
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An Efficient Gaussian Filter Based on Gaussian Symmetric Markov Random Field
IEEE Access, 2022 This article presents a new image denoising algorithm that uses Gaussian Symmetric Markov random fields based on maximum a posteriori estimation. First, an image denoising model based on Gaussian Symmetric Markov random fields is built, and the image ...
Fusong Xiong +3 more
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IEEE Access, 2023 State estimation plays a central role in ensuring the secure operation of the smart grid. However, deliberately designed false data injection attacks (FDIAs) can pass by conventional detections to manipulate the process of state estimation by injecting ...
Guoqing Zhang +5 more
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Maximum a posteriori vs maximum probability recursive sparse estimation [PDF]
2009 European Control Conference (ECC), 2009 Recursive sparse parameter estimates obtained using the author's recent maximum a posteriori (MAP) approach, where the sparse parameter estimates are determined as the a posteriori mode of a Gaussian sum filter, are compared with a new maximum probability (MP) methodology, where the sparse parameter estimates are determined as the component of a ...
Lachlan Blackhall, Michael Rotkowitz
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Image Restoration using Mirroring Method Which Based on the Gradient Direction [PDF]
E3S Web of Conferences, 2020 Restoring a damaged image is a challenging topic in the field of image restoration. The famous previous method for restoring a degraded image are filters (inverse and wiener) and maximum a posteriori (MAP) formulation.
Somawirata I Komang +4 more
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