Skinny Gibbs: A Consistent and Scalable Gibbs Sampler for Model Selection von Narisetty, Naveen N., Shen, Juan, He, Xuming

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Bayesian Regularization for Graphical Models With Unequal Shrinkage von Gan, Lingrui, Narisetty, Naveen N., Liang, Feng

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Application of Multivariate Sensitivity Analysis Techniques to AGCM-Simulated Tropical Cyclones von He, Fei, Posselt, Derek J., Narisetty, Naveen N., Zarzycki, Colin M., Nair, Vijayan N.

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Extremal Depth for Functional Data and Applications von Narisetty, Naveen N., Nair, Vijayan N.

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Statistical inference via conditional Bayesian posteriors in high-dimensional linear regression von Wu, Teng, N. Narisetty, Naveen, Yang, Yun

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Identifying regions of inhomogeneities in spatial processes via an M‐RA and mixture priors von Benedetti, Marco H., Berrocal, Veronica J., Narisetty, Naveen N.

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Selection of nonlinear interactions by a forward stepwise algorithm: Application to identifying environmental chemical mixtures affecting health outcomes von Narisetty, Naveen N., Mukherjee, Bhramar, Chen, Yin‐Hsiu, Gonzalez, Richard, Meeker, John D.

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A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures von Boss, Jonathan, Rix, Alexander, Chen, Yin‐Hsiu, Narisetty, Naveen N., Wu, Zhenke, Ferguson, Kelly K., McElrath, Thomas F., Meeker, John D., Mukherjee, Bhramar

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Consistent Group Selection with Bayesian High Dimensional Modeling von Yang, Xinming, Narisetty, Naveen N.

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A Conditional Bayesian Approach with Valid Inference for High Dimensional Logistic Regression von Ojha, Abhishek, Narisetty, Naveen N.

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Bayesian Multiple Quantile Regression for Linear Models Using a Score Likelihood von Wu, Teng, Narisetty, Naveen N.

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BAYESIAN ESTIMATION OF GAUSSIAN CONDITIONAL RANDOM FIELDS von Gan, Lingrui, Narisetty, Naveen N., Liang, Feng

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Regret lower bound and optimal algorithm for high-dimensional contextual linear bandit von Li, Ke, Yang, Yun, Narisetty, Naveen N.

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Valid Bayesian Inference based on Variance Weighted Projection for High-Dimensional Logistic Regression with Binary Covariates von Ojha, Abhishek, Narisetty, Naveen N

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Valid Bayesian Inference based on Variance Weighted Projection for High-Dimensional Logistic Regression with Binary Covariates von Ojha, Abhishek, Narisetty, Naveen N

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Regret Lower Bound and Optimal Algorithm for High-Dimensional Contextual Linear Bandit von Li, Ke, Yang, Yun, Narisetty, Naveen N

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Identifying regions of inhomogeneities in spatial processes via an M-RA and mixture priors von Benedetti, Marco H, Berrocal, Veronica J, Narisetty, Naveen N

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Bayesian Regularization for Graphical Models with Unequal Shrinkage von Gan, Lingrui, Narisetty, Naveen N, Liang, Feng

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Skinny Gibbs: A Consistent and Scalable Gibbs Sampler for Model Selection von Narisetty, Naveen N., Shen, Juan, He, Xuming

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Regret Lower Bound and Optimal Algorithm for High-Dimensional Contextual Linear Bandit von Li, Ke, Yang, Yun, Narisetty, Naveen N

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