Results 31 to 40 of about 3,138,878 (297)
Warranty Claim Forecasting Based On Weighted Maximum Likelihood Estimation [PDF]
, 2012 Warranty claims reported in recent months might carry more up-to-date information than those reported in earlier months. Using weighted maximum likelihood estimation for estimating model parameters might therefore lead to better performance of warranty ...
Akbarov, Artur +3 more
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Model fit after pairwise maximum likelihood
Frontiers in Psychology, 2016 Maximum likelihood factor analysis of discrete data within the structural equation modeling framework rests on the assumption that the observed discrete responses are manifestations of underlying continuous scores that are normally distributed.
M. T. eBarendse +3 more
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Accurate structural correlations from maximum likelihood superpositions. [PDF]
PLoS Computational Biology, 2008 The cores of globular proteins are densely packed, resulting in complicated networks of structural interactions. These interactions in turn give rise to dynamic structural correlations over a wide range of time scales.
Douglas L Theobald, Deborah S Wuttke
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Maximum Likelihood Localization Method With MIMO-OFDM Transmission
IEEE Access, 2021 In this research, we propose to estimate the location of mobile users by using the maximum likelihood (ML) method with statistical properties of the transmission signal angle of departure (AOD) and received signal strength (RSS) from access points (APs ...
Wan Amirul Mahyiddin +3 more
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Maximum Likelihood Genome Assembly [PDF]
Journal of Computational Biology, 2009 Whole genome shotgun assembly is the process of taking many short sequenced segments (reads) and reconstructing the genome from which they originated. We demonstrate how the technique of bidirected network flow can be used to explicitly model the double-stranded nature of DNA for genome assembly.
Paul Medvedev, Michael Brudno
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Quantum circuit cutting with maximum-likelihood tomography
npj Quantum Information, 2021 We introduce maximum-likelihood fragment tomography (MLFT) as an improved circuit cutting technique for running clustered quantum circuits on quantum devices with a limited number of qubits.
Michael A. Perlin +3 more
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Iterative maximum likelihood on networks [PDF]
Advances in Applied Mathematics, 2009 We consider n agents located on the vertices of a connected graph. Each agent v receives a signal X_v(0)~N(s, 1) where s is an unknown quantity. A natural iterative way of estimating s is to perform the following procedure. At iteration t + 1 let X_v(t + 1) be the average of X_v(t) and of X_w(t) among all the neighbors w of v. In this paper we consider
Elchanan Mossel, Omer Tamuz
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Maximum Likelihood Estimation of Seismic Impulse Response [PDF]
Modeling, Identification and Control, 1985 A seismic trace is assumed to consist of a known signal pulse convolved with a reflection coefficient series plus a moving average noise process (colored noise).
B. Ursin, O. Holberg
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Approximate maximum likelihood estimation of two closely spaced sources [PDF]
, 2014 The performance of the majority of high resolution algorithms designed for either spectral analysis or Direction-of-Arrival (DoA) estimation drastically degrade when the amplitude sources are highly correlated or when the number of available snapshots is
Chaumette, Eric +2 more
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Comparing maximum likelihood and maximum pseudolikelihood estimators for the Ising model [PDF]
advances.in/psychologyThe Ising model is one of the most popular models in network psychometrics. However, statistical analysis of the Ising model is difficult due to the presence of its intractable normalizing constant in the probability function.
Sara Keetelaar +3 more
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