Results 71 to 80 of about 136,474,496 (243)

Applications of single valued trapezoidal neutrosophic maximum a posteriori estimation in real-life problems [PDF]

open access: yesJournal of Fuzzy Extension and Applications
In this paper, we introduce Single-Valued Trapezoidal Neutrosophic Maximum a Posteriori (SVTN-MAP) estimation to deal with uncertainty in prior distribution parameters, where prior parameters are assumed to be Single-Valued Trapezoidal Neutrosophic ...
Nizar Altounji   +2 more
doaj   +1 more source

A posteriori error control for a quasi-continuum approximation of a periodic chain [PDF]

open access: yes, 2013
We consider a one-dimensional periodic atomistic model, for which we formulate and analyse an adaptive variant of a quasicontinuum method. We establish a posteriori error estimators for the energy norm and for the energy, based on a posteriori residual ...
Wang, Hoa, Ortner, Christoph
core   +1 more source

On Maximum a Posteriori Estimation of Hidden Markov Processes

open access: yesCoRR, 2009
We present a theoretical analysis of Maximum a Posteriori (MAP) sequence estimation for binary symmetric hidden Markov processes. We reduce the MAP estimation to the energy minimization of an appropriately defined Ising spin model, and focus on the performance of MAP as characterized by its accuracy and the number of solutions corresponding to a ...
Armen E. Allahverdyan, Aram Galstyan
openaire   +3 more sources

Coupled heat and mass transfer in reactive parallel‐plate flow: A perturbative Graetz model with modal symmetry and Arrhenius kinetics

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
A perturbative Graetz model describes coupled heat and mass transfer in reactive Couette–Poiseuille flow between parallel plates. Viscous dissipation and heat of reaction produce a small temperature rise, which enhances Arrhenius reaction rates and modestly accelerates axial species conversion in the small‐Brinkman‐number regime.
Leonardo Damián Soria Rodríguez   +1 more
wiley   +1 more source

Computational model parameters: maximum a posteriori (MAP) estimates (bounded model-scale).

open access: yes, 2016
Computational model parameters: maximum a posteriori (MAP) estimates (bounded model-scale).
Daniel J. Schad (3178431)   +4 more
core   +1 more source

Homophily‐adjusted social influence estimation

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Homophily and social influence are two key concepts of social network analysis. Distinguishing between these phenomena is difficult, and approaches to disambiguate the two have been primarily limited to longitudinal data analyses. In this study, we provide sufficient conditions for valid estimation of social influence through cross‐sectional ...
Hanh T.D. Pham, Daniel K. Sewell
wiley   +1 more source

B-Spline potential function for maximum a-posteriori image reconstruction in fluorescence microscopy

open access: yesAIP Advances, 2015
An iterative image reconstruction technique employing B-Spline potential function in a Bayesian framework is proposed for fluorescence microscopy images.
Shilpa Dilipkumar
doaj   +1 more source

Maximum a posteriori spatial probability segmentation [PDF]

open access: yes, 1997
An image segmentation algorithm that performs pixel-by-pixel segmentation on an image with consideration of the spatial information is described. The spatial information is the joint grey level values of the pixel to be segmented and its neighbouring ...
Leung, CK, Lam, FK, C.K. Leung, F.K. Lam
core   +1 more source

Mitigating measurement error in misspecified small area models

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract In the framework of Small area estimation, we consider an area‐level model where a subset of covariates is measured with error. The extent of the error is assumed to be constant throughout the areas, and it is expressed by a scalar parameter γ$$ \gamma $$, which multiplies the deterministic covariance matrix of the estimator of the true ...
Diego Battagliese   +3 more
wiley   +1 more source

B-FADE: Bayesian-fatigue model estimator in Python and its application to the probabilistic estimation of El Haddad curves

open access: yesScientific Reports
The accurate calibration of semi-empirical fatigue models against experimental evidence is a critical step for achieving reliable predictions. Amongst many semi-empirical fatigue models, El Haddad’s (EH) curve is widely exploited to characterise the ...
Alessandro Tognan, Enrico Salvati
doaj   +1 more source

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