Results 21 to 30 of about 2,810,332 (372)
The American Commitment to Public Propoganda [PDF]
, 1966 Random set based methods have provided a rigorous Bayesian framework and have been used extensively in the last decade for point object estimation. In this paper, we emphasize that the same methodology offers an equally powerful approach to estimation of
Granström, Karl +3 more
core +5 more sources
MRI reconstruction using deep Bayesian estimation [PDF]
Magnetic Resonance in Medicine, 2019 To develop a deep learning‐based Bayesian estimation for MRI reconstruction.
Guanxiong Luo +4 more
semanticscholar +1 more source
Off-grid Channel Estimation with Sparse Bayesian Learning for OTFS Systems [PDF]
IEEE Transactions on Wireless Communications, 2021 This paper proposes an off-grid channel estimation scheme for orthogonal time-frequency space (OTFS) systems adopting the sparse Bayesian learning (SBL) framework.
Zhiqiang Wei +4 more
semanticscholar +1 more source
Iterative Bayesian Estimation of Travel Times on Urban Arterials: Fusing Loop Detector and Probe Vehicle Data. [PDF]
PLoS ONE, 2016 On urban arterials, travel time estimation is challenging especially from various data sources. Typically, fusing loop detector data and probe vehicle data to estimate travel time is a troublesome issue while considering the data issue of uncertain ...
Kai Liu +3 more
doaj +1 more source
SYBA: Bayesian estimation of synthetic accessibility of organic compounds
Journal of Cheminformatics, 2020 SYBA (SYnthetic Bayesian Accessibility) is a fragment-based method for the rapid classification of organic compounds as easy- (ES) or hard-to-synthesize (HS).
Milan Voršilák +3 more
semanticscholar +1 more source
Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray
The Journal of Engineering, 2019 Sparse Bayesian inference for on-grid direction-of-arrival (DOA) estimation using difference coarray was investigated in the authors’ previous work to estimate more signal sources than the number of physical antenna elements. Sparse Bayesian inference is
Yanan Ma, Xianbin Cao, Xiangrong Wang
doaj +1 more source
Bayesian Model Selection for Beta Autoregressive Processes [PDF]
, 2010 We deal with Bayesian inference for Beta autoregressive processes. We restrict our attention to the class of conditionally linear processes. These processes are particularly suitable for forecasting purposes, but are difficult to estimate due to the ...
Casarin, R., Leisen, F., Valle, L. Dalla
core +2 more sources
A Bayesian estimation method for variational phase-field fracture problems [PDF]
Computational Mechanics, 2019 In this work, we propose a parameter estimation framework for fracture propagation problems. The fracture problem is described by a phase-field method. Parameter estimation is realized with a Bayesian approach. Here, the focus is on uncertainties arising
Amirreza Khodadadian +5 more
semanticscholar +1 more source
Bayesian parameter estimation for dynamical models in systems biology [PDF]
bioRxiv, 2022 Dynamical systems modeling, particularly via systems of ordinary differential equations, has been used to effectively capture the temporal behavior of different biochemical components in signal transduction networks.
Nathaniel J. Linden +2 more
semanticscholar +1 more source
Journal of Mathematics, 2023 This paper investigates the estimation of an unknown shape parameter of the generalized Rayleigh distribution using Bayesian and expected Bayesian estimation techniques based on type-II censoring data.
E. M. Eldemery +3 more
doaj +1 more source