Results 121 to 130 of about 19,296,908 (351)
Research in StatisticsWe consider the classical problem of maximizing the likelihood function of the mean vector and the dispersion matrix given a sample from the family of multivariate Normal distributions.
Suman Majumdar
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FPGA Acceleration of the phylogenetic likelihood function for Bayesian MCMC inference methods
BMC Bioinformatics, 2010 Background Likelihood (ML)-based phylogenetic inference has become a popular method for estimating the evolutionary relationships among species based on genomic sequence data.
Bakos Jason D, Zierke Stephanie
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FEBS Letters, EarlyView.This study reveals that the small GTPase Rab14 is necessary for human papillomavirus (HPV) infection and plays an essential role in the transport of virions to the trans‐Golgi network (TGN). HPV in the early endosome (EE), which harbors GTP‐bound Rab14, is transported to the TGN through the switch of Rab14 from its GTP‐bound to GDP‐bound form.
Yoshiyuki Ishii, Iwao Kukimoto
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An unconditional maximum likelihood test for a unit root [PDF]
, 1993 We investigate a test for unit roots in autoregressive time series based on maximization of the unconditional likelihood. This is the likelihood function appropriate for stationary time series.
González-Farias, Graciela +1 more
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Towards the mother-of-all-models: customised construction of the mark-recapture likelihood function [PDF]
Animal Biodiversity and Conservation, 2004 With a proliferation of mark–recapture models and studies collecting mark–recapture data, software and analysis methods are being continually revised. We consider the construction of the likelihood for a general model that incorporates all the features ...
Barker, R. J., White, G. C.
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Efficient Likelihood Evaluation of State-Space Representations [PDF]
We develop a numerical procedure that facilitates efficient likelihood evaluation in applications involving non-linear and non-Gaussian state-space models.
David N. DeJong +4 more
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Restricted Maximum Likelihood Estimation of Variance Components for Univariate Animal Models Using Sparse Matrix Techniques and Average Information [PDF]
, 1995 An algorithm is described to estimate variance components for a univariate animal model using REML. Sparse matrix techniques are employed to calculate those elements of the inverse of the coefficient matrix required for the first derivatives of the ...
JOHNSON, DL, THOMPSON, R
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Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
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Using the Genetic Algorithm to Maximize the Likelihood Function of Normal Distribution [PDF]
المجلة العراقية للعلوم الاحصائية, 2008 In this research, the genetic algorithm (GA) has been carried out. This application is considered to be a manufacturing treatment to find the value which maximizes the likelihood function . An algorithm has been proposed to find the values which maximize.
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"Empirical Likelihood-Based Inference in Conditional Moment Restriction Models" [PDF]
This paper proposes an asymptotically efficient method for estimating models with conditional moment restrictions. Our estimator generalizes the maximum empirical likelihood estimator (MELE) of Qin and Lawless (1994).
Hyungtaik Ahn +2 more
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