Results 21 to 30 of about 2,104,160 (282)
Maximum-likelihood method in quantum estimation [PDF]
, 2001 The maximum-likelihood method for quantum estimation is reviewed and applied to the reconstruction of density matrix of spin and radiation as well as to the determination of several parameters of interest in quantum optics.Comment: 12 pages, 4 ...
D'Ariano, G. M. +2 more
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Symbolic Maximum Likelihood Estimation with Mathematica [PDF]
, 1999 Mathematica is a symbolic programming language that empowers the user to undertake complicated algebraic tasks. One such task is the derivation of maximum likelihood estimators, demonstrably an important topic in statistics at both the research and ...
Rose, Colin, Smith, Murray D.
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Dynamic Indoor Localization Using Maximum Likelihood Particle Filtering
Sensors, 2021 A popular approach for solving the indoor dynamic localization problem based on WiFi measurements consists of using particle filtering. However, a drawback of this approach is that a very large number of particles are needed to achieve accurate results ...
Wenxu Wang, Damián Marelli, Minyue Fu
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On maximum-likelihood decoding with circuit-level errors [PDF]
Quantum, 2020 Error probability distribution associated with a given Clifford measurement circuit is described exactly in terms of the circuit error-equivalence group, or the circuit subsystem code previously introduced by Bacon, Flammia, Harrow, and Shi. This gives a
Leonid P. Pryadko
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Maximum likelihood localization: When does it fail?
ICT Express, 2016 Maximum likelihood is a criterion often used to derive localization algorithms. In particular, in this paper we focus on a distance-based algorithm for the localization of nodes in static wireless networks. Assuming that Ultra Wide Band (UWB) signals are
Stefania Monica, Gianluigi Ferrari
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New maximum likelihood estimators for eukaryotic intron evolution. [PDF]
PLoS Computational Biology, 2005 The evolution of spliceosomal introns remains poorly understood. Although many approaches have been used to infer intron evolution from the patterns of intron position conservation, the results to date have been contradictory.
Hung D Nguyen +2 more
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Maximum Likelihood Cluster Reconstruction [PDF]
The Astrophysical Journal, 1996 9 pages including 2 figures, submitted to ApJ ...
Bartelmann, Matthias +3 more
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Privacy-preserving Maximum Likelihood Estimation for Distributed Data
The Journal of Privacy and Confidentiality, 2010 Recent technological advances enable the collection of huge amounts of data. Commonly, these data are generated, stored, and owned by multiple entities that are unwilling to cede control of their data. This distributed environment requires statistical
Xiaodong Lin, Alan F. Karr
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A new maximum-likelihood method for template fits
European Physical Journal C: Particles and Fields, 2022 A common statistical problem in particle physics is to extract the number of samples which originate from a statistical process in an ensemble containing a mix of several contributing processes. The probability density function of each process is usually
Hans Dembinski, Ahmed Abdelmotteleb
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Hedged maximum likelihood estimation
, 2010 This paper proposes and analyzes a new method for quantum state estimation, called hedged maximum likelihood (HMLE). HMLE is a quantum version of Lidstone's Law, also known as the "add beta" rule.
Blume-Kohout, Robin
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