Search Results

On the selection of variables in criminology: Adjusting for the descendants of unobserved confounders,
Ian A. Silver, Holly Lonergan and Joseph L. Nedelec, in Journal of Criminal Justice (2022)
Keywords: Variable selection; Descendants; Causal inference;

A Review on Variable Selection in Regression Analysis,
Loann Desboulets, in Econometrics (2018)
Keywords: variable selection; automatic modelling; sparse models

A Review on Variable Selection in Regression Analysis,
Loann Desboulets, from HAL (2018)
Keywords: automatic modelling,variable selection,sparse models

A Review on Variable Selection in Regression Analysis,
Loann D. Desboulets, from Aix-Marseille School of Economics, France (2018)
Keywords: variable selection, automatic modelling, sparse models

Bayesian group bridge for bi-level variable selection,
Himel Mallick and Nengjun Yi, in Computational Statistics & Data Analysis (2017)
Keywords: Bayesian regularization; Bayesian variable selection; Bi-level variable selection; Group bridge; Group Variable selection; MCMC;

A doubly sparse approach for group variable selection,
Sunghoon Kwon, Jeongyoun Ahn, Woncheol Jang, Sangin Lee and Yongdai Kim, in Annals of the Institute of Statistical Mathematics (2017)
Keywords: Doubly sparse penalty, Group selection, Group selection consistency, Variable selection

Variable selection in clustering,
E. Fowlkes, R. Gnanadesikan and J. Kettenring, in Journal of Classification (1988)
Keywords: Variable selection, Cluster analysis of two-mode data, scaling of variables, Pillai trace statistic, Interactive data analysis,

Variable selection in infinite-dimensional problems,
Germán Aneiros and Philippe Vieu, in Statistics & Probability Letters (2014)
Keywords: Functional data analysis; Variable selection; High-dimensional problem; Partitioning variable selection procedure;

Variable selection with Hamming loss,
Cristina Butucea, Natalia Stepanova and Alexandre Tsybakov, from Center for Research in Economics and Statistics (2016)
Keywords: adaptive variable selection, almost full recovery, exact recovery, Hamming loss, minimax selectors, nonasymptotic minimax selection bounds, phase transitions

XTSEL: Stata module for selection of variables and specification in a panel-data framework,
Alfonso Ugarte-Ruiz, from Boston College Department of Economics (2022)
Keywords: panel data, specification, variable selection

Subsampling based variable selection for generalized linear models,
Marinela Capanu, Mihai Giurcanu, Colin B. Begg and Mithat Gönen, in Computational Statistics & Data Analysis (2023)
Keywords: AIC; Screening threshold; Variable selection; Subsampling; Stability selection;

An RKHS model for variable selection in functional linear regression,
José R. Berrendero, Beatriz Bueno-Larraz and Antonio Cuevas, in Journal of Multivariate Analysis (2019)
Keywords: Feature selection; Functional linear regression; Impact points; Variable selection;

Variable Selection for Inflation: A Pseudo Out-of-sample Approach,
Selen Başer Andıç and Fethi Ogunc, from Research and Monetary Policy Department, Central Bank of the Republic of Turkey (2015)
Keywords: Inflation, Variable selection, Leading indicator, Turkey

Variable selection after screening: with or without data splitting?,
Xiaoyi Zhu and Yuhong Yang, in Computational Statistics (2015)
Keywords: Model selection, Sparse regression, Variable screening, Prediction,

Variable selection in semiparametric regression analysis for longitudinal data,
Peixin Zhao and Liugen Xue, in Annals of the Institute of Statistical Mathematics (2012)
Keywords: Semiparametric regression model, Longitudinal data, Variable selection,

Variable selection for varying coefficient models with measurement errors,
Peixin Zhao and Liugen Xue, in Metrika: International Journal for Theoretical and Applied Statistics (2011)
Keywords: Varying coefficient models, Variable selection, Measurement errors,

Variable selection in discrete survival models including heterogeneity,
Andreas Groll and Gerhard Tutz, in Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data (2017)
Keywords: Variable selection, Discrete survival, Heterogeneity, Lasso

Variable Selection for the Spatial Autoregressive Model with Autoregressive Disturbances,
Xuan Liu and Jianbao Chen, in Mathematics (2021)
Keywords: spatial; variable selection; SCAD; penalized method

Exchange rate predictability: A variable selection perspective,
Young Min Kim and Seojin Lee, in International Review of Economics & Finance (2020)
Keywords: Exchange rates; Forecasting; Bayesian variable selection;

VAR forecasting using Bayesian variable selection,
Dimitris Korobilis, from University Library of Munich, Germany (2009)
Keywords: Forecasting; variable selection; time-varying parameters; Bayesian

Joint variable selection and network modeling for detecting eQTLs,
Cao Xuan, Ding Lili and Mersha Tesfaye B., in Statistical Applications in Genetics and Molecular Biology (2020)
Keywords: eQTL, join analysis, network modeling, variable selection

VAR forecasting using Bayesian variable selection,
Dimitris Korobilis, from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) (2011)
Keywords: forecasting, variable selection, time-varying parameters

Kernel variable selection for multicategory support vector machines,
Beomjin Park and Changyi Park, in Journal of Multivariate Analysis (2021)
Keywords: Multicategory classification; Statistical learning; Variable selection consistency;

Variable selection in functional regression models: A review,
Germán Aneiros, Silvia Novo and Philippe Vieu, in Journal of Multivariate Analysis (2022)
Keywords: Functional Data Analysis; Regression; Variable selection;

Regularization and variable selection in Heckman selection model,
Emmanuel O. Ogundimu, in Statistical Papers (2022)
Keywords: Coordinate descent, Non-random selection, Penalized regression, Variable selection, Missing data

Variables selection in observational and experimental studies,
Joachim Kunert and Claus Weihs, from Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen (2000)
Keywords: variables selection, stepwise regression, cross validation, principal components, screening, optimization

A group VISA algorithm for variable selection,
Abdallah Mkhadri and Mohamed Ouhourane, in Statistical Methods & Applications (2015)
Keywords: Group variable selection, VISA, Grouped Lars, Linear regression,

Variable selection through adaptive MAVE,
Hossein Moradi Rekabdarkolaee and Qin Wang, in Statistics & Probability Letters (2017)
Keywords: Adaptive estimation; Sufficient dimension reduction; Shrinkage estimation; Variable selection;

Variable selection using shrinkage priors,
Hanning Li and Debdeep Pati, in Computational Statistics & Data Analysis (2017)
Keywords: Bayesian; Horseshoe; Markov chain Monte Carlo; Shrinkage priors; Variable selection;

Variable Selection in Predictive MIDAS Models,
Clément Marsilli, from Banque de France (2014)
Keywords: Forecasting, Mixed frequency data, MIDAS, Variable selection, GDP.

A penalized criterion for variable selection in classification,
Tristan Mary-Huard, Stéphane Robin and Jean-Jacques Daudin, in Journal of Multivariate Analysis (2007)
Keywords: Statistical learning Variable selection Oracle inequality Penalized criterion

Variable Selection for Clustering and Classification,
Jeffrey Andrews and Paul McNicholas, in Journal of Classification (2014)
Keywords: Classification, Cluster analysis, High-dimensional data, Mixture models, Model-based clustering, Variable selection,

Penalized variable selection in competing risks regression,
Zhixuan Fu, Chirag R. Parikh and Bingqing Zhou, in Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data (2017)
Keywords: Competing risks, Cumulative incidence function, Group variable selection, Oracle properties, Penalized variable selection, Proportional subdistribution hazard

PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection,
Chun-Xia Zhang, Jiang-She Zhang and Sang-Woon Kim, in Computational Statistics (2016)
Keywords: Variable selection, Variable ranking, Genetic algorithm, Ensemble learning, Variable selection ensemble, Boosting

Variable Selection for Sparse Logistic Regression with Grouped Variables,
Mingrui Zhong, Zanhua Yin and Zhichao Wang, in Mathematics (2023)
Keywords: high-dimensional data; non-asymptotic inequality; logistic regression; variable selection; block coordinate descent algorithm

Variable selection for spatial autoregressive models with a diverging number of parameters,
Tianfa Xie, Ruiyuan Cao and Jiang Du, in Statistical Papers (2020)
Keywords: Spatial autoregressive models, Variable selection, Instrumental variable, Oracle property

Key Process Variable Identification for Quality Classification Based on PLSR Model and Wrapper Feature Selection,
Wen-meng Tian, Zhen He and Wei Yan, from Springer (2013)
Keywords: Classification, PLS, Variable Selection, Wrapper

Minimizing variable selection criteria by Markov chain Monte Carlo,
Yen-Shiu Chin and Ting-Li Chen, in Computational Statistics (2016)
Keywords: Variable selection, Markov chain Monte Carlo method, Optimization, Subset selection

Variable selection in high-dimensional sparse multiresponse linear regression models,
Shan Luo, in Statistical Papers (2020)
Keywords: Multiresponse linear regression model, Variable selection, Selection consistency, Bootstrap

GVSELECT: Stata module to perform best subsets variable selection,
Charles Lindsey and Simon Sheather, from Boston College Department of Economics (2014)
Keywords: variable selection, leaps-and-bounds, best subsets, model selection

Variable selection in STAR models with neighbourhood effects using genetic algorithms,
Isolina Alberto, Asunción Beamonte, Pilar Gargallo, Pedro M. Mateo and Manuel Salvador, in Journal of Forecasting (2010)
Keywords: STAR , variable selection , genetic algorithms , neighbourhood effects ,

Variable Selection in Causal Inference using a Simultaneous Penalization Method,
Ertefaie Ashkan, Asgharian Masoud and Stephens David A., in Journal of Causal Inference (2018)
Keywords: causal inference, variable selection, propensity score

A new approach to deal with variable selection in neural networks: an application to bankruptcy prediction,
Ilyes Abid, Rim Ayadi, Khaled Guesmi and Farid Mkaouar, in Annals of Operations Research (2022)
Keywords: Bankruptcy prediction, Neural networks, Variable selection, Classification

Variable selection in model-based clustering and discriminant analysis with a regularization approach,
Gilles Celeux, Cathy Maugis-Rabusseau and Mohammed Sedki, in Advances in Data Analysis and Classification (2019)
Keywords: Variable selection, Lasso, Gaussian mixture, Clustering, Classification

Robust distributed estimation and variable selection for massive datasets via rank regression,
Jiaming Luan, Hongwei Wang, Kangning Wang and Benle Zhang, in Annals of the Institute of Statistical Mathematics (2022)
Keywords: Massive data, Robustness, Communication efficient, Variable selection

Variable Selection in Threshold Regression Model with Applications to HIV Drug Adherence Data,
Takumi Saegusa, Tianzhou Ma, Gang Li, Ying Qing Chen and Mei-Ling Ting Lee, in Statistics in Biosciences (2020)
Keywords: HIV, Survival analysis, Threshold regression, Variable selection

Nowcasting Peruvian GDP using Leading Indicators and Bayesian Variable Selection,
Fernando Pérez Forero, from Banco Central de Reserva del Perú (2018)
Keywords: Nowcasting, Gibbs Sampling, Variable Selection, Model Averaging

A variable selection method based on Tabu search for logistic regression models,
Joaquín Pacheco, Silvia Casado and Laura Nuñez Letamendia, in European Journal of Operational Research (2009)
Keywords: Variable selection Logistic regression Metaheuristics Tabu search

Bayesian variable selection for a semi-competing risks model with three hazard functions,
Andrew G. Chapple, Marina Vannucci, Peter F. Thall and Steven Lin, in Computational Statistics & Data Analysis (2017)
Keywords: Semi-competing risks; Variable selection; Metropolis–Hastings;

A variable neighborhood search method for the orienteering problem with hotel selection,
A. Divsalar, P. Vansteenwegen and D. Cattrysse, in International Journal of Production Economics (2013)
Keywords: Orienteering problem; Hotel selection; Variable neighborhood search;

The influence of variable selection methods on the accuracy of bankruptcy prediction models,
Philippe du Jardin, from University Library of Munich, Germany (2012)
Keywords: Bankruptcy prediction; Forecasting model; Variable selection

Bankruptcy prediction and neural networks: The contribution of variable selection methods,
Philippe du Jardin, from University Library of Munich, Germany (2008)
Keywords: Bankruptcy Prediction; Forecasting model; Variable selection

Simple Tests for Selection Bias: Learning More from Instrumental Variables,
Dan Black, Joonhwi Joo, Robert LaLonde, Jeffrey Smith and Evan J. Taylor, from Institute of Labor Economics (IZA) (2015)
Keywords: selection, local average treatment effects, instrumental variables

Steady-state priors and Bayesian variable selection in VAR forecasting,
Dimitrios Louzis, in Studies in Nonlinear Dynamics & Econometrics (2016)
Keywords: Bayesian VAR, macroeconomic forecasting, steadystates, variable selection

Exact and heuristic algorithms for variable selection: Extended Leaps and Bounds,
Pedro Silva, from Católica Porto Business School, Universidade Católica Portuguesa (2009)
Keywords: Variable Selection Algorithms; All-Subsets; Heuristics

A consistent variable selection method in high-dimensional canonical discriminant analysis,
Ryoya Oda, Yuya Suzuki, Hirokazu Yanagihara and Yasunori Fujikoshi, in Journal of Multivariate Analysis (2020)
Keywords: Consistency; Variable selection; Canonical discriminant analysis;

Variable selection in linear regression in the presence of outliers,
Tejaswi S. Kamble and Dattatraya N. Kashid, in International Journal of Data Analysis Techniques and Strategies (2017)
Keywords: variable selection; outlier; M-estimator; sum of transformed residuals.

Model Selection and Variable Transformations in Nonlinear Regression,
Olaf Bunke, Bernd Droge and Jörg Polzehl, from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) (1993)
Keywords: Nonlinear regression, model selection, cross-validation, variable transformation

VARIABLE SELECTION IN MULTIVARIATE FUNCTIONAL DATA CLASSIFICATION,
Górecki Tomasz, Krzyśko Mirosław and ński Waldemar Woły, in Statistics in Transition New Series (2019)
Keywords: multivariate functional data, variable selection, dCov, HSIC, classification.

Embedded variable selection method using signomial classification,
Kyoungmi Hwang, Dohyun Kim, Kyungsik Lee, Chungmok Lee and Sungsoo Park, in Annals of Operations Research (2017)
Keywords: Classification problems, Variable selection, Embedded method, Signomial classification

Variable selection in functional additive regression models,
Manuel Febrero-Bande, Wenceslao González-Manteiga and Manuel Oviedo de la Fuente, in Computational Statistics (2019)
Keywords: Variable selection, Functional regression additive models, Energy production

Robust variable selection for finite mixture regression models,
Qingguo Tang and R. J. Karunamuni, in Annals of the Institute of Statistical Mathematics (2018)
Keywords: Finite mixture regression models, Variable selection, Minimum-distance methods

Nonparametric variable selection and its application to additive models,
Zhenghui Feng, Lu Lin, Ruoqing Zhu and Lixing Zhu, in Annals of the Institute of Statistical Mathematics (2020)
Keywords: Nonparametric regression, Variable selection, Nonparametric additive model, Adaptive estimation

A new variable selection approach for varying coefficient models,
Xue-Jun Ma and Jing-Xiao Zhang, in Metrika: International Journal for Theoretical and Applied Statistics (2016)
Keywords: Varying coefficient models, Variable selection, SCAD, Oracle property, 62G08,

Objective Bayesian group variable selection for linear model,
Sang Gil Kang, Woo Dong Lee and Yongku Kim, in Computational Statistics (2022)
Keywords: Bayes factor, Group variable selection, Intrinsic prior, Linear regression model

A variable-selection heuristic for K-means clustering,
Michael Brusco and J. Cradit, in Psychometrika (2001)
Keywords: cluster analysis, K-means partitioning, variable selection, heuristics,

VAR Forecasting Using Bayesian Variable Selection,
Dimitris Korobilis, from Rimini Centre for Economic Analysis (2011)
Keywords: Forecasting; variable selection; time-varying parameters; Bayesian vector autoregression

Bayesian Variable Selection of Risk Factors in the APT Model,
Robert Kohn and Rachida Ouysse, from School of Economics, The University of New South Wales (2007)
Keywords: Variable selection; Posterior density; Bayes factors; MCMC; APT models

Variable Selection for Spatial Logistic Autoregressive Models,
Jiaxuan Liang, Yi Cheng, Yuqi Su, Shuyue Xiao and Yunquan Song, in Mathematics (2022)
Keywords: spatial logistic autoregressive model; variable selection; maximum likelihood

A note on variable selection in nonparametric regression with dependent data,
Wenceslao González-Manteiga, Alejandro Quintela-del-Río and Philippe Vieu, in Statistics & Probability Letters (2002)
Keywords: Curse of dimensionality Kernel regression Variables selection test [beta]-mixing

Multicriteria variable selection for classification of production batches,
Michel J. Anzanello, Susan L. Albin and Wanpracha A. Chaovalitwongse, in European Journal of Operational Research (2012)
Keywords: Multivariate statistics; Variable selection; Multiple criteria; Data mining; Batch manufacturing;

A new variable selection approach using Random Forests,
A. Hapfelmeier and K. Ulm, in Computational Statistics & Data Analysis (2013)
Keywords: Random Forests; Variable selection; Permutation tests; Multiple testing;

Nonparametric variable selection and classification: The CATCH algorithm,
Shijie Tang, Lisha Chen, Kam-Wah Tsui and Kjell Doksum, in Computational Statistics & Data Analysis (2014)
Keywords: Adaptive variable selection; Importance score; Chi-square statistic;

Robust estimation and variable selection in sufficient dimension reduction,
Hossein Moradi Rekabdarkolaee, Edward Boone and Qin Wang, in Computational Statistics & Data Analysis (2017)
Keywords: Robust estimation; Shrinkage estimation; Sufficient dimension reduction; Variable selection;

Model-free variable selection for conditional mean in regression,
Yuexiao Dong, Zhou Yu and Liping Zhu, in Computational Statistics & Data Analysis (2020)
Keywords: Stepwise regression; Sure independence screening; Variable selection consistency;

Variable selection for high-dimensional incomplete data,
Lixing Liang, Yipeng Zhuang and Philip L.H. Yu, in Computational Statistics & Data Analysis (2024)
Keywords: High-dimensional; Missing data; Variable selection; Multiple imputation; Randomized lasso;

Bayesian dynamic variable selection in high dimensions,
Dimitris Korobilis and Gary Koop, from University Library of Munich, Germany (2020)
Keywords: dynamic linear model; approximate posterior inference; dynamic variable selection; forecasting

Bayesian dynamic variable selection in high dimensions,
Gary Koop and Dimitris Korobilis, from Business School - Economics, University of Glasgow (2020)
Keywords: dynamic linear model; approximate posterior inference; dynamic variable selection; forecasting

Variable selection in robust regression models for longitudinal data,
Yali Fan, Guoyou Qin and Zhongyi Zhu, in Journal of Multivariate Analysis (2012)
Keywords: Longitudinal data; Penalized estimating equation; Robust method; Variable selection;

Latent variable selection in structural equation models,
Yan-Qing Zhang, Guo-Liang Tian and Nian-Sheng Tang, in Journal of Multivariate Analysis (2016)
Keywords: ECM algorithm; Lasso; SCAD; Structural equation models; Variable selection;

Variable Selection for the Growth Curve Model,
Kenichi Satoh, Mika Kobayashi and Yasunori Fujikoshi, in Journal of Multivariate Analysis (1997)
Keywords: growth curve model variable selection AIC Cp-statistic MIC modifications of AIC and MIC

Variable selection for market basket analysis,
Katrin Dippold and Harald Hruschka, in Computational Statistics (2013)
Keywords: Market basket analysis, Cross category effects, Variable selection, Multivariate logit model, Pseudo likelihood estimation,

Variable selection in Data Envelopment Analysis,
Antonio Peyrache, Christiern Rose and Gabriela Sicilia, in European Journal of Operational Research (2020)
Keywords: Data Envelopment Analysis; Variable selection; Efficiency; Productivity; Cardinality constraints; Dimension reduction;

On efficient calculations for Bayesian variable selection,
Eric Ruggieri and Charles E. Lawrence, in Computational Statistics & Data Analysis (2012)
Keywords: Bayesian model averaging; Variable selection; Dynamic programming; Inversion of matrix sums; Regression; Spike and slab;

Variable selection in panel models with breaks,
Simon C. Smith, Allan Timmermann and Yinchu Zhu, in Journal of Econometrics (2019)
Keywords: Variable selection; Structural breaks; Panel data; Bayesian analysis; High-dimensional modeling; Firms’ choice of capital structure;

Variable Selection for Market Basket Analysis,
Katrin Dippold and Harald Hruschka, from University of Regensburg, Department of Economics (2010)
Keywords: Market basket analysis; cross category effects; variable selection; multivariate logit model; pseudo likelihood estimation

Variable selection in international diffusion models,
Sarah Gelper and Stefan Stremersch, in International Journal of Research in Marketing (2014)
Keywords: Variable selection; Shrinkage; Bayesian Lasso; Bayesian Elastic Net; International diffusion; Bass model;

Variable selection in the analysis of energy consumption–growth nexus,
Mariam Camarero, Anabel Forte, Gonzalo Garcia-Donato, Yurena Mendoza and Javier Ordóñez, in Energy Economics (2015)
Keywords: Energy consumption; Economic growth; Control variables; Causality; Probabilistic model; Variable selection;

A Comparison of Variable Selection Approaches for Dynamic Treatment Regimes,
Biernot Peter and Moodie Erica E. M., in The International Journal of Biostatistics (2010)
Keywords: adaptive treatment strategies, dynamic treatment regimes, variable selection, categorical variables, binary outcomes, reducts, STAR*D, depression

Variable selection in model-based discriminant analysis,
C. Maugis, G. Celeux and M.-L. Martin-Magniette, in Journal of Multivariate Analysis (2011)
Keywords: Discriminant, redundant or independent variables Variable selection Gaussian classification models Linear regression BIC