NODOVOX | Discovery

Model Selection for the Mean Function of Kriging Models

Article

Model Selection for the Mean Function of Kriging Models

Najlaa Sadeek Yahya et al · University of Mosul, College of Education for Pure Science · 2025 · ISSN 1812-125X

Kriging models are used in many scientific disciplines to investigate the behavior of physical systems. In the Kriging model (KM), the response of the computer simulation code (CSC) is considered to have a Gaussian proce...

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Model selection: using information measures from ordinal symbolic analysis to select model subgrid-scale parameterizations

Article

Model selection: using information measures from ordinal symbolic analysis to select model subgrid-scale parameterizations

Pulido, Manuel et al · RI ITBA · 2019 · ISSN 0022-4928

"The use of information measures for model selection in geophysical models with subgrid parameterizations is examined. Although the resolved dynamical equations of atmospheric or oceanic global numerical models are well ...

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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

Article

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

Fred S. Guthery; Kenneth P. Burnham; David Anderson · Journal of Wildlife Management · 2003

Introduction * Information and Likelihood Theory: A Basis for Model Selection and Inference * Basic Use of the Information-Theoretic Approach * Formal Inference From More Than One Model: Multi-Model Inference (MMI) * Mon...

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Model Selection and Multimodel Inference

Article

Model Selection and Multimodel Inference

Technometrics · 2003

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Model Selection and Estimation in Regression with Grouped Variables

Article

Model Selection and Estimation in Regression with Grouped Variables

Ming Yuan; Yi Lin · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2005

Summary We consider the problem of selecting grouped variables (factors) for accurate prediction in regression. Such a problem arises naturally in many practical situations with the multifactor analysis-of-variance probl...

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ModelFinder: fast model selection for accurate phylogenetic estimates

Article

ModelFinder: fast model selection for accurate phylogenetic estimates

Subha Kalyaanamoorthy; Bùi Quang Minh; Thomas K. F. Wong; Arndt von Haeseler; Lars S. Jermiin · Nature Methods · 2017

Subjects / keywords: Phylogenetic tree; Selection (genetic algorithm); Computational biology; Evolutionary biology; Model selection; Biology; Phylogenetics; Computer science; Genetics; Artificial intelligence; Gene

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Bayesian Model Selection in Social Research

Article

Bayesian Model Selection in Social Research

Adrian E. Raftery · Sociological Methodology · 1995

It is argued that P-values and the tests based upon them give unsatisfactory results, especially in large samples. It is shown that, in regression, when there are many candidate independent variables, standard variable s...

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Regression and time series model selection in small samples

Article

Regression and time series model selection in small samples

Clifford M. Hurvich; Chih‐Ling Tsai · Biometrika · 1989

A bias correction to the Akaike information criterion, AIC, is derived for regression and autoregressive time series models. The correction is of particular use when the sample size is small, or when the number of fitted...

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Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses

Article

Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses

Quang Vuong · Econometrica · 1989

In this paper, we develop a classical approach to model selection. Using the Kullback-Leibler Information Criterion to measure the closeness of a model to the truth, we propose simple likelihood-ratio based statistics fo...

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Route selection impairment and microglia activation in a rodent model of attention-deficit hyperactivity disorder

Article

Route selection impairment and microglia activation in a rodent model of attention-deficit hyperactivity disorder

Sophia G. Skubic et al · Frontiers Media S.A · 2026 · ISSN 1662-5102

IntroductionThe ability to remember locations of objects and make spatial decisions is critical when navigating an environment. Such tasks, however, can be difficult for individuals with certain neurological conditions, ...

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Atenção seletiva e informação de alto nível: modelos de seleção da informação em cenas naturais Atención selectiva e informaciones de alto-nivel: modelos de selección de la información en escenas naturales Selective Attention and high-level information: model of information selection in natural scenes

Article

Frederico Miranda Rodrigues Pinheiro et al · Universidade de São Francisco, Programa de Pós-Graduação Stricto Sensu em Psicologia · 2012 · ISSN 1413-8271

De modo geral, as investigações acerca da atenção seletiva apresentaram uma grande ênfase no estudo do processamento da informação visual de baixo nível e médio nível, fazendo uso, para tanto, de estímulos vis...

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Considerations about the selection by consequences model: what has changed in 28 years?

Article

Considerations about the selection by consequences model: what has changed in 28 years?

Maria Helena Leite Hunziker · Universidade Federal do Paraná · 2017 · ISSN 1981-8076

This article compares two sets of texts published in Brazil, in 1 988 and 201 6, focused on the analysis of the selection by consequences model proposed by Skinner. It is presented the academic contexts in which the two ...

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Dias ao Parto de Fêmeas Nelore de um Experimento de Seleção para Crescimento: II - Modelo de Regressão Aleatória Days to Calving of Nelore Cows from a Selection Experiment for Growth: II - Random Regression Model

Article

Maria Eugênia Zerlotti Mercadante et al · Sociedade Brasileira de Zootecnia · 2002 · ISSN 1516-3598

Os parâmetros genéticos para dias ao parto foram estimados usando um modelo de regressão aleatória, com polinômios ortogonais da idade na monta (em anos) como covariável. Os registros de dias ao parto (4.118) foram...

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Mixed modeling for fiber yield genetic selection in sugarcane

Article

Mixed modeling for fiber yield genetic selection in sugarcane

João de Andrade Dutra Filho et al · Facultad de Ciencias Agrarias. Universidad Nacional de Cuyo · 2021 · ISSN 0370-4661

The current demand for clean and renewable energy has provoked considerable changes in the production system of agroindustrial companies. The generation of bioelectricity through the burning of sugarcane bagasse has cons...

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Using selection models to assess sensitivity to publication bias: A tutorial and call for more routine use

Article

Using selection models to assess sensitivity to publication bias: A tutorial and call for more routine use

Maximilian Maier et al · SAGE Publishing · 2022 · ISSN 1891-1803

Abstract In meta‐analyses, it is critical to assess the extent to which publication bias might have compromised the results. Classical methods based on the funnel plot, including Egger's test and Trim‐and‐Fill, hav...

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Design of a Recommender System Model Leveraging Graph Databases for Master's Program Selection

Thesis

Design of a Recommender System Model Leveraging Graph Databases for Master's Program Selection

Pastores, Claudia · RI ITBA · 2025

"The selection of a suitable master’s program has become an increasingly complex task due to the growing diversity of offerings and the lack of standardized comparable information across institutions. This thesis propo...

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Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies

Article

Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies

Brian D. Lehmann; Joshua A. Bauer; Xi Chen; Melinda E. Sanders; A. Bapsi Chakravarthy; Yu Shyr; Jennifer A. Pietenpol · Journal of Clinical Investigation · 2011

Triple-negative breast cancer (TNBC) is a highly diverse group of cancers, and subtyping is necessary to better identify molecular-based therapies. In this study, we analyzed gene expression (GE) profiles from 21 breast ...

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PartitionFinder: Combined Selection of Partitioning Schemes and Substitution Models for Phylogenetic Analyses

Article

PartitionFinder: Combined Selection of Partitioning Schemes and Substitution Models for Phylogenetic Analyses

Robert Lanfear; Brett Calcott; Simon Y. W. Ho; Stéphane Guindon · Molecular Biology and Evolution · 2012

In phylogenetic analyses of molecular sequence data, partitioning involves estimating independent models of molecular evolution for different sets of sites in a sequence alignment. Choosing an appropriate partitioning sc...

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Aplicación de los sistemas neurodifusos a la interpretación automática de imágenes de satélite

E-book

Aplicación de los sistemas neurodifusos a la interpretación automática de imágenes de satélite

Cantón Garbín, Manuel; Piedra Fernández, José Antonio · Editorial Universidad de Almería · 2005 · ISBN 9788482407845

El gran auge de la teledetección unido al lanzamiento de diferentes satélites en los últimos tiempos ha potenciado el desarrollo de nuevas técnicas en el procesamiento digital de imágenes [Lillesand y Kiefer, 1994] ...

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Landscape Architecture Form and Matter

E-book

Landscape Architecture Form and Matter

Párez Igualada, Javier · Editorial de la Universidad Politécnica de Valencia · 2022 · ISBN 9788413960920

In this book, we address landscape architecture, from composition and construction, from the visual and the tectonic, from form and matter. With this, it is intended to configure a basic manual for the student who delves...

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Luis Cernuda and the modern english poets: a study of the influence of Browing, Yeats and Eliot on his poetry

E-book

Luis Cernuda and the modern english poets: a study of the influence of Browing, Yeats and Eliot on his poetry

Hughes, Brian · Publicacions Universitat Alacant · 2018 · ISBN 9788497176170

Though several generations of critics have reported finding English influences in the poetry of Luis Cernuda, no detailed or systematic study of the question has yet been undertaken. This book tackles the issue, concentr...

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DISCRIMINANT STEPWISE PROCEDURE

Article

DISCRIMINANT STEPWISE PROCEDURE

Mariusz Kubus · Lodz University Press · 2014 · ISSN 0208-6018

Stepwise procedure is now probably the most popular tool for automatic feature selection. In the most cases it represents model selection approach which evaluates various feature subsets (so called wrapper). In fact it i...

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Quantifying the Bayesian Evidence for a Planet in Radial Velocity Data

Article

Quantifying the Bayesian Evidence for a Planet in Radial Velocity Data

Nelson, Benjamin E. et al · IOP Publishing · 2020 · ISSN 0004-6256

We present results from a data challenge posed to the radial velocity (RV) community: Namely, to quantify the Bayesian "evidence"for n = {0, 1, 2, 3} planets in a set of synthetically generated RV data sets containing a ...

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Automatic catalog of RR Lyrae from ∼14 million VVV light curves: How far can we go with traditional machine-learning?

Article

Automatic catalog of RR Lyrae from ∼14 million VVV light curves: How far can we go with traditional machine-learning?

Cabral, Juan Bautista et al · EDP Sciences · 2020 · ISSN 0004-6361

Context. The creation of a 3D map of the bulge using RR Lyrae (RRL) is one of the main goals of the VISTA Variables in the Via Lactea Survey (VVV) and VVV(X) surveys. The overwhelming number of sources undergoing analysi...

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