Results 21 to 30 of about 3,271,081 (257)
Physical Review Research, 2023 Given the recent developments in quantum techniques, modeling the physical Hamiltonian of a target quantum many-body system is becoming an increasingly practical and vital research direction.
Tian-Lun Zhao, Shi-Xin Hu, Yi Zhang
doaj +1 more source
Particle methods for maximum likelihood estimation in latent variable models [PDF]
, 2008 Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants.
Davy, Manuel +8 more
core +1 more source
Maximum-likelihood trellis decoding technique for balanced codes. [PDF]
, 1995 A low-complexity encoding and maximum-likelihood trellis decoding (MLTD) technique for nonlinear balanced codes is presented.
Markarian, G. S., Honary, B., Blaum, M.
core +3 more sources
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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Maximum likelihood estimation of the parameters of a system of simultaneous regression equations [PDF]
, 1988 Procedures for computing the full information maximum likelihood (FIML) estimates of the parameters of a system of simultaneous regression equations have been described by Koopmans, Rubin, and Leipnik, Chernoff and Divinsky, Brown, and Eisenpress ...
James Durbin, Durbin, J.
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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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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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Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids
Pediatric Blood &Cancer, EarlyView.ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz +12 more
wiley +1 more source
Maximum likelihood parameter estimation for latent variable models using sequential Monte Carlo [PDF]
, 2006 We present a sequential Monte Carlo (SMC) method for maximum likelihood (ML) parameter estimation in latent variable models. Standard methods rely on gradient algorithms such as the ExpectationMaximization (EM) algorithm and its Monte Carlo variants. Our
Davy, Manuel +12 more
core +2 more sources
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
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