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

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

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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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New methods for multiple testing in permutation inference for the general linear model von Mrkvička, Tomáš, Myllymäki, Mari, Kuronen, Mikko, Narisetty, Naveen Naidu

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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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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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BAYESIAN VARIABLE SELECTION WITH SHRINKING AND DIFFUSING PRIORS von Narisetty, Naveen Naidu, He, Xuming

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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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Censored quantile regression survival models with a cure proportion von Narisetty, Naveen, Koenker, Roger

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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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Discussion von Narisetty, Naveen Naidu

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Discussion von Narisetty, Naveen Naidu

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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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A New Approach to Censored Quantile Regression Estimation von Yang, Xiaorong, Narisetty, Naveen Naidu, 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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A New Approach to Censored Quantile Regression Estimation von Yang, Xiaorong, Narisetty, Naveen Naidu, He, Xuming

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