regression framework
A Redundancy Aware Sentence Regression Framework for Extractive Summarization
... Sentence regression is one of the branches of extractive summarization methods that achieves state-of- the-art performances (Cao et ...sentence regression methods usually model sentence importance and ...
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Testing for PPP in the Mean Group Panel Regression Framework: Further Evidence
... Table 2 shows the results of the AEG (Augmented Engle–Granger) test for cointegration. The appropriate number of lags is chosen on the basis of the BIC criteria. On the basis of the critical values for the AEG test given ...
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Bivariate Gaussian models for wind vectors in a distributional regression framework
... In this study, we directly model the zonal and meridional wind components, employing the bivariate Gaussian distri- bution as suggested by Gneiting et al. (2008) and performed by Pinson (2012) and Schuhen et al. (2012). ...
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Understanding the Performance of Statistical MT Systems: A Linear Regression Framework
... a framework for the analysis of Machine Translation ...the regression parameters that better predict translation quality using a wide range of input features based on the translation model and the ...
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Implementation of a Bayesian linear regression framework for nuclear prognostics
... ear Regression (BLR) ...BLR Framework, Bayes theorem is applied to update the prior probability distribution of the model parameters to form a posterior distribution with the likelihood of the ob- servation ...
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A Linear Regression Framework for the Receiver Operating Characteristic(ROC) Curve Analysis
... AUC Φ α + α . Various semiparametric methods have been proposed to estimate the ROC curve under the binormal assumption. LABROC [4] is a maximum likelihood-based procedure for ordinal test results. Specifically, it ...
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Urbanization and Environmental Quality in Africa
... polynomial regression, and more generally parametric regression models, have been shown to have undesirable “nonlocal effects” (Magee, ...parametric framework, a semi-parametric regression ...
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Detection of independent associations in a large epidemiologic dataset: a comparison of random forests, boosted regression trees, conventional and penalized logistic regression for identifying independent factors associated with H1N1pdm influenza infections
... Boosted regression trees and LASSO models identified 8 to 24 covariates independently associated with influenza infection, among which 23 were not detected by the “univariate followed by multivariate logistic ...
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Does religion matter? Exploring economic performance differences among Romanian emigrants
... This paper contributes to the literature by providing a quantitative analysis of the economic outcomes of immigrants and religion. Therefore, we provide insightful addition to the traditional analysis of migration and ...
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PubMedCentral-PMC5433528.pdf
... general regression framework for the analysis of manifold- valued response in a Riemannian symmetric space (RSS) and its association with multiple covariates of interest, such as age or gender, in Euclidean ...
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Multi-task Regression using Minimal Penalties
... ridge regression framework, which we refer to as multi- task regression, using penalization ...single-task regression framework to estimate the variance of the ...
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Do people gamble more in good times? Evidence from 27 European countries
... panel regression framework to capture possible differences across countries and ...panel regression with random effects, although the Breusch-Pagan Lagrange multiplier test for random effects failed ...
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Association Study, Risk Assessment, and Prediction of Children's Growth Trajectories through Methylation Profiles using Functional Mixed Models.
... process regression (GP) and standard mixed model tech- niques, an association with the response is ultimately determined by testing the significance of a subset of variance components in the ...
118
Rügamer, David (2018): Estimation, model choice and subsequent inference: methods for additive and functional regression models. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... The framework includes linear models (LMs), generalized linear models (GLMs) as well as quantile and expectile ...mean regression models but also GAMLSS and quantile regression ...flexible ...
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Do changing medical admissions practices in the UK impact on who is admitted? : An interrupted time series analysis
... to 230 per year group); curricula (e.g., case-based or traditional learning); and age of school (from hundreds of years old, to one of the newest UK medical schools). In addition, the four chosen schools had known ...
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A preliminary assessment of energy consumption behaviour pattern and factors influence among Malaysian higher education institutions students
... the energy consumption in high variation. As for indirect factors, the result has support the main theory where it only affect the energy consumption in small variation (see Table 2). In Table 2, from Material aspect of ...
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A TWO-STAGE PERFORMANCE IMPROVEMENT EVALUATION OF THE INSURANCE INDUSTRY IN KENYA: AN APPLICATION OF DATA ENVELOPMENT ANALYSIS AND TOBIT REGRESSION MODEL
... DEA framework and tobit regression methodology to evaluate the efficiency of Kenya Insurance ...tobit regression model to assess the endogenous drivers of efficiency scores obtained from ...
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Function Approximation Using Robust Radial Basis Function Networks
... Resistant training in radial basis function (RBF) networks is the topic of this paper. In this paper, one modification of Gauss-Newton training algorithm based on the theory of robust regression for dealing with ...
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Continuous Regression Test Framework
... automated regression test framework is being developed with a simple Goal - End to End automated continuous regression test framework to facilitate optimal testing of multiple flavors of Linux ...
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ORCA: A Matlab/Octave Toolbox for Ordinal Regression
... (Ordinal Regression and Classification Algorithms) is a Matlab/Octave frame- work that implements and integrates different ordinal classification algorithms and specif- ically designed performance ...The ...
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