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High-dimensional Statistics Applications to Batch Effects in Metabolomics

• Authors : Guo, Zhendong

Subjects: Methodology (stat.ME); FOS: Computer and information sciences; Quantitative Biology - Biomolecules

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Moving beyond sub-Gaussianity in high-dimensional statistics: applications in covariance estimation and linear regression

• Authors : Kuchibhotla, Arun Kumar; Chakrabortty, Abhishek

Subjects: Methodology (stat.ME); FOS: Computer and information sciences; Statistics - Machine Learning

• Source: Information and Inference: A Journal of the IMA. 11:1389-1456

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Generalized statistics: Applications to data inverse problems with outlier-resistance

• Authors : Gustavo Z. dos Santos Lima; João V. T. de Lima; João M. de Araújo

Subjects: FOS: Computer and information sciences; Likelihood Functions; Statistical Mechanics (cond-mat.stat-mech)

• Source: PLoS OnePLoS ONE, Vol 18, Iss 3, p e0282578 (2023)PLoS ONE, Vol 18, Iss 3 (2023)

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Estimation of Over-parameterized Models from an Auto-Modeling Perspective

• Authors : Jiang, Yiran; Liu, Chuanhai

Subjects: Methodology (stat.ME); FOS: Computer and information sciences; FOS: Mathematics

• Source: Journal of the American Statistical Association. :1-24

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Combining Broad and Narrow Case Definitions in Matched Case-Control Studies: Firearms in the Home and Suicide Risk

• Authors : Ting Ye; Kan Chen; Dylan Small

Subjects: Methodology (stat.ME); FOS: Computer and information sciences; Applications (stat.AP)

• Source: Journal of the American Statistical Association. :1-12

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Detecting Influential Observations in Single-Index Fréchet Regression

• Authors : Abdul-Nasah Soale

Subjects: Methodology (stat.ME); FOS: Computer and information sciences; Applications (stat.AP)

• Source: Technometrics. :1-12

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Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects

• Authors : Larry Han; Jue Hou; Kelly Cho

Subjects: Methodology (stat.ME); FOS: Computer and information sciences; FOS: Mathematics

• Source: Journal of the American Statistical Association. :1-25

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BMRMM: An R Package for Bayesian Markov (Renewal) Mixed Models

• Authors : Wu, Yutong; Sarkar, Abhra

Subjects: Methodology (stat.ME); FOS: Computer and information sciences; Applications (stat.AP)

• Source: The R Journal. 16:192-211

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Profile Monitoring via Eigenvector Perturbation

• Authors : Takayuki Iguchi; Andrés F. Barrientos; Eric Chicken

Subjects: Methodology (stat.ME); FOS: Computer and information sciences; Applications (stat.AP)

• Source: Technometrics. :1-10

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TSSS: a novel triangulated spherical spline smoothing for surface-based data

• Authors : Zhiling Gu; Shan Yu; Guannan Wang

Subjects: Methodology (stat.ME); FOS: Computer and information sciences; Applications (stat.AP)

• Source: Journal of Nonparametric Statistics. :1-30

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