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Wenyang Huang, Huiwen Wang & Shanshan Wang. (2024) A pseudo principal component analysis method for multi-dimensional open-high-low-close data in candlestick chart. Communications in Statistics - Theory and Methods 53:10, pages 3472-3498.
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Francesco Percassi, Alfonso E. Gerevini, Enrico Scala, Ivan Serina & Mauro Vallati. (2023) Improving Domain-Independent Heuristic State-Space Planning via plan cost predictions. Journal of Experimental & Theoretical Artificial Intelligence 35:6, pages 849-875.
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Li-Pang Chen. (2023) Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors. Journal of Computational and Graphical Statistics 0:0, pages 1-14.
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Atila Göktaş, Özge Akkuş & Aykut Kuvat. (2021) A new robust ridge parameter estimator based on search method for linear regression model. Journal of Applied Statistics 48:13-15, pages 2457-2472.
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Piyada Phrueksawatnon, Jirawan Jitthavech & Vichit Lorchirachoonkul. (2021) Determining the optimal ridge parameter in logistic regression. Communications in Statistics - Simulation and Computation 50:11, pages 3569-3580.
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Zilong Wang, Shah Zaman, Samma Faiz Rasool, Qamar uz Zaman & Asad Amin. (2020) Exploring the Relationships Between a Toxic Workplace Environment, Workplace Stress, and Project Success with the Moderating Effect of Organizational Support: Empirical Evidence from Pakistan. Risk Management and Healthcare Policy 13, pages 1055-1067.
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Nam-Hee Choi, Kerby Shedden, Gongjun Xu, Xuefei Zhang & Ji Zhu. (2020) Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression. Technometrics 62:4, pages 451-455.
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Catalina B. García, Román Salmerón, Claudia García & José García. (2020) Residualization: justification, properties and application. Journal of Applied Statistics 47:11, pages 1990-2010.
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Takuya Inokuchi, Ryosuke Okamoto & Noriyoshi Arai. (2020) Predicting molecular ordering in a binary liquid crystal using machine learning. Liquid Crystals 47:3, pages 438-448.
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Román Salmerón Gómez, Catalina García García & Jose García Pérez. (2020) Comment on “A Note on Collinearity Diagnostics and Centering” by Velilla (2018). The American Statistician 74:1, pages 68-71.
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Quoc Bao Pham, Kaustuv Mukherjee, Akbar Norouzi, Nguyen Thi Thuy Linh, Saeid Janizadeh, Kourosh Ahmadi, Artemi Cerdà, Thi Ngoc Canh Doan & Duong Tran Anh. (2020) Head-cut gully erosion susceptibility modelling based on ensemble Random Forest with oblique decision trees in Fareghan watershed, Iran. Geomatics, Natural Hazards and Risk 11:1, pages 2385-2410.
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Aris Spanos. (2019) Near-collinearity in linear regression revisited: The numerical vs. the statistical perspective. Communications in Statistics - Theory and Methods 48:22, pages 5492-5516.
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Steven Haine, Kristien Wouters, Hielko Miljoen, Tom Vandendriessche, Marc Claeys, Johan Bosmans & Christiaan Vrints. (2018) A higher volume of fibrotic tissue on virtual histology prior to coronary stent implantation predisposes to more pronounced neointima proliferation. Acta Cardiologica 73:2, pages 171-178.
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Saman Babaie-Kafaki & Mahdi Roozbeh. (2017) A revised Cholesky decomposition to combat multicollinearity in multiple regression models. Journal of Statistical Computation and Simulation 87:12, pages 2298-2308.
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Pedro Macedo. (2017) Ridge Regression and Generalized Maximum Entropy: An improved version of the Ridge–GME parameter estimator. Communications in Statistics - Simulation and Computation 46:5, pages 3527-3539.
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Diarmuid O’Driscoll & Donald E. Ramirez. (2016) Mitigating collinearity in linear regression models using ridge, surrogate and raised estimators. Cogent Mathematics 3:1.
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M. Golam Kibria. (2013) A Simulation Study on Some Restricted Ridge Regression Estimators. Communications in Statistics - Simulation and Computation 42:4, pages 871-890.
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Zangin Zeebari. (2012) Developing ridge estimation method for median regression. Journal of Applied Statistics 39:12, pages 2627-2638.
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Juliana Jelani & Andrew
K.G. Tan. (2012) Determinants of participation and expenditure patterns of private tuition received by primary school students in Penang, Malaysia: an exploratory study. Asia Pacific Journal of Education 32:1, pages 35-51.
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Hassanzadeh Bashtian, M. Arashi & S.M.M. Tabatabaey. (2011) Using improved estimation strategies to combat multicollinearity. Journal of Statistical Computation and Simulation 81:12, pages 1773-1797.
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C. W. Lawson & C. Thanassoulas. (1982) Predicting West German–Comecon imports: a comparative assessment of ordinary least squares, autoregressive moving average and ridge regression procedures. Applied Economics 14:4, pages 401-419.
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Lawrence Peele & ThomasP. Ryan. (1982) Minimax Linear Regression Estimators With Application to Ridge Regression. Technometrics 24:2, pages 157-159.
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John Mandel. (1982) Use of the Singular Value Decomposition in Regression Analysis. The American Statistician 36:1, pages 15-24.
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Craig Van Nostrand. (1979) Ridge Regression and James-Stein Estimation: Review and Comments. Technometrics 21:4, pages 451-466.
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Joel Samuels. (1977) Influence of structure on the dynamic mechanical properties of crystalline polymers. Journal of Macromolecular Science, Part B 13:3, pages 357-380.
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S.R. Johnson. (1977) MSE evaluation of ridge estimators based on stochastic prior information. Communications in Statistics - Theory and Methods 6:13, pages 1245-1258.
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