Results 41 to 50 of about 2,034,768 (362)
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
core +1 more source
Maximum Likelihood Detection for Cooperative Molecular Communication [PDF]
, 2018 In this paper, symbol-by-symbol maximum likelihood (ML) detection is proposed for a cooperative diffusion-based molecular communication (MC) system. In this system, a fusion center (FC) chooses the transmitter's symbol that is more likely, given the ...
Eckford, Andrew W. +4 more
core +2 more sources
Asymptotic results for maximum likelihood estimators in joint analysis of repeated measurements and survival time [PDF]
Annals of Statistics 2005, Vol. 33, No. 5, 2132-2163, 2006 Maximum likelihood estimation has been extensively used in the joint analysis of repeated measurements and survival time. However, there is a lack of theoretical justification of the asymptotic properties for the maximum likelihood estimators. This paper intends to fill this gap.
arxiv +1 more source
Approximate Profile Maximum Likelihood
, 2017 We propose an efficient algorithm for approximate computation of the profile maximum likelihood (PML), a variant of maximum likelihood maximizing the probability of observing a sufficient statistic rather than the empirical sample.
Alberto Herrera (1673596) +15 more
core +10 more sources
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
doaj +1 more source
Parameter uncertainties in weighted unbinned maximum likelihood fits
European Physical Journal C: Particles and Fields, 2022 Parameter estimation via unbinned maximum likelihood fits is central for many analyses performed in high energy physics. Unbinned maximum likelihood fits using event weights, for example to statistically subtract background contributions via the sPlot ...
Christoph Langenbruch
doaj +1 more source
Maximum-likelihood absorption tomography
, 2002 Maximum-likelihood methods are applied to the problem of absorption tomography. The reconstruction is done with the help of an iterative algorithm. We show how the statistics of the illuminating beam can be incorporated into the reconstruction.
+13 more
core +1 more source
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
doaj +1 more source
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
core +2 more sources
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.
core +2 more sources