penalized likelihood
COSSO-type penalized likelihood method for simultaneous nonparametric regression and model selection in exponential Families
... We then fit the additive model using the subset basis algorithm with different numbers of basis: N = 25, 50, 100. Each experiment is repeated 100 times, and the results are summarized in Tables 1 and 2. The models ...
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A penalized likelihood estimation approach to semiparametric sample selection binary response modeling
... the penalized likelihood ...to penalized regression spline estimation ...the penalized iter- atively re-weighted least squares (P-IRLS) scheme used to fit the ...
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A Penalized Likelihood Method for Mapping Epistatic Quantitative Trait Loci With One-Dimensional Genome Searches
... selection of markers near the putative QTL. In the pres- background by using penalized likelihood methods. ent form, if the moving QTL gets close to a marker, say We thank Marco Bink, Bas Engel, and Paul ...
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Penalized likelihood and multi-objective spatial scans for the detection and inference of irregular clusters
... different penalized likelihoods employing the geometric and non-connectivity regularity functions and the novel disconnection nodes cohesion ...previous penalized likelihood ...
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A Penalized-Likelihood Method to Estimate the Distribution of Selection Coefficients from Phylogenetic Data
... the penalized likelihood method is possible only with a sizable number of sequences, a factor less troublesome due to the rapid increase in the available number of divergent homologous ...
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A penalized likelihood estimation approach to semiparametric sample selection binary response modeling
... Abstract: Sample selection models are employed when an outcome of in- terest is observed for a restricted non-randomly selected sample of the pop- ulation. We consider the case in which the response is binary and ...
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Penalized likelihood estimation of a trivariate additive probit model
... a penalized likelihood method to estimate a trivariate probit model, which accounts for several types of covariate effects (such as linear, nonlinear, random and spatial effects), as well as error ...a ...
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Grouped Coordinate Ascent Algorithms for Penalized Likelihood Transmission Image Reconstruction
... for penalized-likelihood reconstruction of attenuation maps from low-count transmission ...maximum likelihood-expectation maxi- mization (ML-EM) algorithm or in the SCA ...
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Penalized likelihood estimation of a trivariate additive probit model
... a penalized likelihood method to estimate a trivariate probit model, which accounts for several types of covariate effects (such as linear, nonlinear, random and spatial effects), as well as error ...a ...
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Penalized Likelihood Analysis of Haplotype Effect.
... of penalized likelihood approaches that can identify important genetic and genetic-environment interaction effects as well as accommodate the complications described ...
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Computationally tractable fitting of graphical models : the cost and benefits of decomposable Bayesian and penalized likelihood approaches : a thesis presented in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Albany, New Zealand
... We move from motivating the use of sparse GGMs to consideration of computation- ally tractable methods for fitting them. Penalized likelihood approaches such as the graphical lasso (Friedman et al., 2008b) ...
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Impact of a Bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors
... Background: The aim of this study was to evaluate and compare PET image reconstruction algorithms on novel digital silicon photomultiplier PET/CT in patients with newly diagnosed and histopathologically confirmed lung ...
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Noise reduction using a Bayesian penalized-likelihood reconstruction algorithm on a time-of-flight PET-CT scanner
... Maximum likelihood expectation maximization; NECR: Noise equivalent count rate; NEMA: National Electrical Manufacturers Association; OSEM: Ordered subset expectation maximization; PET: Positron emission ...
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Evaluation of a Bayesian penalized likelihood reconstruction algorithm for low-count clinical 18F-FDG PET/CT
... 18 F-FDG PET/CT imaging of the standard NEMA image quality phantom and micro hollow sphere phantom (real size and zoom) having different sized spheres ranging in size from 4-37 mm (0.03-[r] ...
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Penalized likelihood estimation of a trivariate additive probit model
... Broadly speaking, the GHK approach first applies a Cholesky decomposition on the model’s correlation matrix and then expresses the trivariate integrals as a product of three univariate p[r] ...
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Globally Convergent Image Reconstruction for Emission Tomography Using Relaxed Ordered Subsets Algorithms
... for penalized-likelihood image reconstruction in emission tomography: modified block sequential regularized expectation-maximization (BSREM) and relaxed OS separable paraboloidal surrogates ...
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Statistical Methods for High Dimensional Count and Compositional Data With Applications to Microbiome Studies
... a penalized likelihood of a multinomial model is proposed to estimate the composition by regularizing the nuclear norm of the compositional ...the penalized likelihood-based estimator ...
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A Cluster Elastic Net for Multivariate Regression
... the penalized likelihood function assuming the clusters are known, which has desirable parallel computational properties obtained by using the cluster fusion ...the penalized likelihood ...the ...
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Regression spline bivariate probit models: A practical approach to testing for exogeneity
... a penalized likelihood estimation framework to estimate recursive and sample selection bivariate probit models that include smooth functions of continuous con- founders: the regression spline bivariate ...
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Globally Convergent Ordered Subsets Algorithms: Application to Tomography
... for penalized-likelihood im- age reconstruction: modified BSREM (block sequential regularized ex- pectation maximization) and relaxed OS-SPS (ordered subsets separa- ble paraboloidal ...the ...
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