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eBook

Linear Models: An Integrated Approach

Authors : S Rao Jammalamadaka; Debasis Sengupta

Subjects: Linear models (Statistics); Analysis of covariance; Regression analysisMATHEMATICS / Probability & Statistics / Multivariate Analysis; MATHEMATICS / Research; MATHEMATICS / Probability & Statistics / General

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Linear Models : A Mean Model Approach

Authors : William R. Moser

Subjects: Linear models (Statistics)MATHEMATICS / Discrete Mathematics

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PICS: A sequential approach to obtain optimal designs for non-linear models leveraging closed-form solutions for faster convergence

Authors : Ghosh, Suvrojit; Khamaru, Koulik; Dasgupta, Tirthankar

Subjects: Statistics - Methodology

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Universality of Estimator for High-Dimensional Linear Models with Block Dependency

Authors : Tsuda, Toshiki; Imaizumi, Masaaki

Subjects: Mathematics - Statistics Theory

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Benign Overfitting in Out-of-Distribution Generalization of Linear Models

Authors : Tang, Shange; Wu, Jiayun; Fan, Jianqing

Subjects: Computer Science - Machine Learning; Statistics - Machine Learning

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Model checking for high dimensional generalized linear models based on random projections

Authors : Chen, Wen; Liu, Jie; Peng, Heng

Subjects: Statistics - Methodology; Mathematics - Statistics Theory

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Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization

Authors : Schliserman, Matan; Koren, Tomer

Subjects: Computer Science - Machine Learning

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Testing for changes in the error distribution in functional linear models

Authors : Neumeyer, Natalie; Selk, Leonie

Subjects: Mathematics - Statistics Theory; Statistics - Methodology

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Dirichlet process mixtures of block $g$ priors for model selection and prediction in linear models

Authors : Porwal, Anupreet; Rodriguez, Abel

Subjects: Statistics - Methodology; Computer Science - Machine Learning

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Optimal Downsampling for Imbalanced Classification with Generalized Linear Models

Authors : Chen, Yan; Blanchet, Jose; Dembczynski, Krzysztof

Subjects: Statistics - Machine Learning; Computer Science - Machine Learning

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فلترة النتائج

Linear Models: An Integrated Approach

Linear Models : A Mean Model Approach

PICS: A sequential approach to obtain optimal designs for non-linear models leveraging closed-form solutions for faster convergence

Universality of Estimator for High-Dimensional Linear Models with Block Dependency

Benign Overfitting in Out-of-Distribution Generalization of Linear Models

Model checking for high dimensional generalized linear models based on random projections

Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization

Testing for changes in the error distribution in functional linear models

Dirichlet process mixtures of block $g$ priors for model selection and prediction in linear models

Optimal Downsampling for Imbalanced Classification with Generalized Linear Models

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