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Refinado por: Base de dados/Biblioteca: Academic OneFile remover Base de dados/Biblioteca: Taylor & Francis remover nível superior: Revistas revisadas por pares remover
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1
A Fast Algorithm for Maximum Likelihood Estimation of Mixture Proportions Using Sequential Quadratic Programming
A Fast Algorithm for Maximum Likelihood Estimation of Mixture Proportions Using Sequential Quadratic Programming
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A Fast Algorithm for Maximum Likelihood Estimation of Mixture Proportions Using Sequential Quadratic Programming

Kim, Youngseok ; Carbonetto, Peter ; Stephens, Matthew ; Anitescu, Mihai

Journal of computational and graphical statistics, 2020-04, Vol.29 (2), p.261-273 [Periódico revisado por pares]

United States: Taylor & Francis

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2
Optimal Subsampling via Predictive Inference
Optimal Subsampling via Predictive Inference
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Optimal Subsampling via Predictive Inference

Wu, Xiaoyang ; Huo, Yuyang ; Ren, Haojie ; Zou, Changliang

Journal of the American Statistical Association, 2023-12, p.1-13 [Periódico revisado por pares]

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3
Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
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Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data

Zubizarreta, José R.

Journal of the American Statistical Association, 2015-09, Vol.110 (511), p.910-922 [Periódico revisado por pares]

Alexandria: Taylor & Francis

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4
A Computational Framework for Multivariate Convex Regression and Its Variants
A Computational Framework for Multivariate Convex Regression and Its Variants
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A Computational Framework for Multivariate Convex Regression and Its Variants

Mazumder, Rahul ; Choudhury, Arkopal ; Iyengar, Garud ; Sen, Bodhisattva

Journal of the American Statistical Association, 2019-01, Vol.114 (525), p.318-331 [Periódico revisado por pares]

Alexandria: Taylor & Francis

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5
Projection Test for Mean Vector in High Dimensions
Projection Test for Mean Vector in High Dimensions
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Projection Test for Mean Vector in High Dimensions

Liu, Wanjun ; Yu, Xiufan ; Zhong, Wei ; Li, Runze

Journal of the American Statistical Association, 2024, Vol.119 (545), p.744-756 [Periódico revisado por pares]

United States: Taylor & Francis

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6
Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming
Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming
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Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming

Zheng, Runbing ; Lyzinski, Vince ; Priebe, Carey E. ; Tang, Minh

Journal of computational and graphical statistics, 2022-10, Vol.31 (4), p.1254-1268 [Periódico revisado por pares]

Alexandria: Taylor & Francis

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7
Kernel-Based Partial Permutation Test for Detecting Heterogeneous Functional Relationship
Kernel-Based Partial Permutation Test for Detecting Heterogeneous Functional Relationship
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Kernel-Based Partial Permutation Test for Detecting Heterogeneous Functional Relationship

Li, Xinran ; Jiang, Bo ; Liu, Jun S.

Journal of the American Statistical Association, 2023-04, Vol.118 (542), p.1429-1447 [Periódico revisado por pares]

Alexandria: Taylor & Francis

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8
Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies
Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies
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Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies

Wang, Yuanjia ; Fu, Haoda ; Zeng, Donglin

Journal of the American Statistical Association, 2018-01, Vol.113 (521), p.1-13 [Periódico revisado por pares]

United States: Taylor & Francis

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9
ClassificationWith Unstructured Predictors and an Application to Sentiment Analysis
ClassificationWith Unstructured Predictors and an Application to Sentiment Analysis
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ClassificationWith Unstructured Predictors and an Application to Sentiment Analysis

Wang, Junhui ; Shen, Xiaotong ; Sun, Yiwen ; Qu, Annie

Journal of the American Statistical Association, 2016-09, Vol.111 (515), p.1242-1242 [Periódico revisado por pares]

Alexandria: Taylor & Francis Ltd

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10
Density Deconvolution With Additive Measurement Errors Using Quadratic Programming
Density Deconvolution With Additive Measurement Errors Using Quadratic Programming
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Density Deconvolution With Additive Measurement Errors Using Quadratic Programming

Yang, Ran ; Apley, Daniel W. ; Staum, Jeremy ; Ruppert, David

Journal of computational and graphical statistics, 2020-07, Vol.29 (3), p.580-591 [Periódico revisado por pares]

Alexandria: Taylor & Francis

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