Results 91 to 100 of about 1,087,874 (283)
A Note on Optimal Smoothing for Time Varying Coefficient Problems [PDF]
An algorithm is presented which provides a complete solution to the optimal estimation problem for time-varying parameters when no proper prior distribution is specified.
Kent D. Wall, Thomas F. Cooley
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Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source
Influence of colored Gaussian noise on power estimation algorithm
Diance yu yibiaoAiming at the problem that the accuracy of the active power estimation algorithm is affected by the increasing colored noise of the novel power system, this paper firstly establishes the active power convolution sum estimation algorithm with non ...
DU Mengru +4 more
doaj +1 more source
Simulation and Estimation of Loss Given Default [PDF]
The aim of our paper is the development of an adequate estimation model for the loss given default, which incorporates the empirically observed bimodality and bounded nature of the distribution. Therefore we introduce an adjusted Expectation Maximization
Sebastian Ostrowski, Stefan Hlawatsch
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Side chain placement using estimation of distribution algorithms
Artificial Intelligence in Medicine, 2007 This paper presents an algorithm for the solution of the side chain placement problem.The algorithm combines the application of the Goldstein elimination criterion with the univariate marginal distribution algorithm (UMDA), which stochastically searches the space of possible solutions.
Santana Hermida, Roberto +2 more
openaire +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu +11 more
wiley +1 more source
Energies, 2014 Remaining useful life (RUL) prediction is central to the prognostics and health management (PHM) of lithium-ion batteries. This paper proposes a novel RUL prediction method for lithium-ion batteries based on the Wiener process with measurement error ...
Shengjin Tang +4 more
doaj +1 more source
Multivariate mixed normal conditional heteroskedasticity [PDF]
We propose a new multivariate volatility model where the conditional distribution of a vector time series is given by a mixture of multivariate normal distributions. Each of these distributions is allowed to have a time-varying covariance matrix.
C.M., HAFNER +2 more
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A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization
, 2020 We show that a large class of Estimation of Distribution Algorithms, including, but not limited to, Covariance Matrix Adaption, can be written as a Monte Carlo Expectation-Maximization algorithm, and as exact EM in the limit of infinite samples.
Brookes, David H. +4 more
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Interactions and Dependencies in Estimation of Distribution Algorithms
2005 IEEE Congress on Evolutionary Computation, 2005 In this paper, we investigate two issues related to probabilistic modeling in Estimation of Distribution Algorithms (EDAs). First, we analyze the effect of selection in the arousal of probability dependencies in EDAs for random functions. We show that, for these functions, independence relationships not represented by the function structure are likely ...
Santana Hermida, Roberto +2 more
openaire +2 more sources