Journal of the American Statistical Association

Keyphrases

Publications

volume 119, number 545, 2024

Shengbin Ye, Thomas P Senftle, Meng Li
Operator-induced structural variable selection for identifying materials genes. Journal of the American Statistical Association 119 (545) (2024)
Anna Menacher, Thomas E Nichols, Chris Holmes, Habib Ganjgahi
Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior. Journal of the American Statistical Association 119 (545) (2024)
Shengbin Ye, Thomas P Senftle, Meng Li
Operator-induced structural variable selection for identifying materials genes. Journal of the American Statistical Association 119 (545) (2024)
Anna Menacher, Thomas E Nichols, Chris Holmes, Habib Ganjgahi
Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior. Journal of the American Statistical Association 119 (545) (2024)
Shengbin Ye, Thomas P Senftle, Meng Li
Operator-induced structural variable selection for identifying materials genes. Journal of the American Statistical Association 119 (545) (2024)
Anna Menacher, Thomas E Nichols, Chris Holmes, Habib Ganjgahi
Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior. Journal of the American Statistical Association 119 (545) (2024)

volume 119, number 546, 2024

Bingxin Zhao, Xiaochen Yang, Hongtu Zhu
Estimating trans-ancestry genetic correlation with unbalanced data resources. Journal of the American Statistical Association 119 (546) (2024)
Bingxin Zhao, Xiaochen Yang, Hongtu Zhu
Estimating trans-ancestry genetic correlation with unbalanced data resources. Journal of the American Statistical Association 119 (546) (2024)
Chang Su, Jingfei Zhang, Hongyu Zhao
Estimating cell-type-specific gene co-expression networks from bulk gene expression data with an application to Alzheimer's disease. Journal of the American Statistical Association 119 (546) (2024)
Cong Zhang, Tejasv Bedi, Chul Moon, Yang Xie, Min Chen, Qiwei Li
Bayesian Landmark-based Shape Analysis of Tumor Pathology Images. Journal of the American Statistical Association 119 (546) (2024)

volume 119, number 545, 2023

Xingche Guo, Donglin Zeng, Yuanjia Wang
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders. Journal of the American Statistical Association 119 (545) (2023)
Daniel Mork, Marianthi-Anna Kioumourtzoglou, Marc Weisskopf, Brent A Coull, Ander Wilson
Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution. Journal of the American Statistical Association 119 (545) (2023)
Daniel Mork, Marianthi-Anna Kioumourtzoglou, Marc Weisskopf, Brent A Coull, Ander Wilson
Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution. Journal of the American Statistical Association 119 (545) (2023)
Daniel Mork, Marianthi-Anna Kioumourtzoglou, Marc Weisskopf, Brent A Coull, Ander Wilson
Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution. Journal of the American Statistical Association 119 (545) (2023)

volume 119, number 546, 2023

Ted Westling, Alex Luedtke, Peter B Gilbert, Marco Carone
Inference for treatment-specific survival curves using machine learning. Journal of the American Statistical Association 119 (546) (2023)
Aritra Halder, Sudipto Banerjee, Dipak K Dey
Bayesian Modeling with Spatial Curvature Processes. Journal of the American Statistical Association 119 (546) (2023)
Aritra Halder, Sudipto Banerjee, Dipak K Dey
Bayesian Modeling with Spatial Curvature Processes. Journal of the American Statistical Association 119 (546) (2023)
Emily C Hector, Brian J Reich
Distributed Inference for Spatial Extremes Modeling in High Dimensions. Journal of the American Statistical Association 119 (546) (2023)
Jianqing Fan, Zhipeng Lou, Mengxin Yu
Are Latent Factor Regression and Sparse Regression Adequate? Journal of the American Statistical Association 119 (546) (2023)
Yue Wang, Bin Nan, John D Kalbfleisch
Kernel Estimation of Bivariate Time-varying Coefficient Model for Longitudinal Data with Terminal Event. Journal of the American Statistical Association 119 (546) (2023)
Huiying Mao, Ryan Martin, Brian J Reich
Valid model-free spatial prediction. Journal of the American Statistical Association 119 (546) (2023)
Yudong Chen, Tengyao Wang, Richard J Samworth
Inference in High-Dimensional Online Changepoint Detection. Journal of the American Statistical Association 119 (546) (2023)
Ted Westling, Alex Luedtke, Peter B Gilbert, Marco Carone
Inference for treatment-specific survival curves using machine learning. Journal of the American Statistical Association 119 (546) (2023)
Christoph Schultheiss, Peter Bühlmann, Ming Yuan
Higher-Order Least Squares: Assessing Partial Goodness of Fit of Linear Causal Models. Journal of the American Statistical Association 119 (546) (2023)
Chunlin Li, Xiaotong Shen, Wei Pan
Nonlinear causal discovery with confounders. Journal of the American Statistical Association 119 (546) (2023)
Emily C Hector, Brian J Reich
Distributed Inference for Spatial Extremes Modeling in High Dimensions. Journal of the American Statistical Association 119 (546) (2023)
Huiying Mao, Ryan Martin, Brian J Reich
Valid model-free spatial prediction. Journal of the American Statistical Association 119 (546) (2023)
Yudong Chen, Tengyao Wang, Richard J Samworth
Inference in High-Dimensional Online Changepoint Detection. Journal of the American Statistical Association 119 (546) (2023)
Ted Westling, Alex Luedtke, Peter B Gilbert, Marco Carone
Inference for treatment-specific survival curves using machine learning. Journal of the American Statistical Association 119 (546) (2023)
Aritra Halder, Sudipto Banerjee, Dipak K Dey
Bayesian Modeling with Spatial Curvature Processes. Journal of the American Statistical Association 119 (546) (2023)
Jia Wang, Xizhen Cai, Xiaoyue Niu, Runze Li
Variable Selection for High-dimensional Nodal Attributes in Social Networks with Degree Heterogeneity. Journal of the American Statistical Association 119 (546) (2023)
Sai Li, Linjun Zhang, T Tony Cai, Hongzhe Li
Estimation and Inference for High-Dimensional Generalized Linear Models with Knowledge Transfer. Journal of the American Statistical Association 119 (546) (2023)
Jinyuan Chang, Jing He, Jian Kang, Mingcong Wu
Statistical Inferences for Complex Dependence of Multimodal Imaging Data. Journal of the American Statistical Association 119 (546) (2023)
Yue Wang, Bin Nan, John D Kalbfleisch
Kernel Estimation of Bivariate Time-varying Coefficient Model for Longitudinal Data with Terminal Event. Journal of the American Statistical Association 119 (546) (2023)
Yue Wang, Bin Nan, John D Kalbfleisch
Kernel Estimation of Bivariate Time-varying Coefficient Model for Longitudinal Data with Terminal Event. Journal of the American Statistical Association 119 (546) (2023)
Emily C Hector, Brian J Reich
Distributed Inference for Spatial Extremes Modeling in High Dimensions. Journal of the American Statistical Association 119 (546) (2023)
Huiying Mao, Ryan Martin, Brian J Reich
Valid model-free spatial prediction. Journal of the American Statistical Association 119 (546) (2023)
Jia Wang, Xizhen Cai, Xiaoyue Niu, Runze Li
Variable Selection for High-dimensional Nodal Attributes in Social Networks with Degree Heterogeneity. Journal of the American Statistical Association 119 (546) (2023)
Sai Li, Linjun Zhang, T Tony Cai, Hongzhe Li
Estimation and Inference for High-Dimensional Generalized Linear Models with Knowledge Transfer. Journal of the American Statistical Association 119 (546) (2023)
Christoph Schultheiss, Peter Bühlmann, Ming Yuan
Higher-Order Least Squares: Assessing Partial Goodness of Fit of Linear Causal Models. Journal of the American Statistical Association 119 (546) (2023)
Chunlin Li, Xiaotong Shen, Wei Pan
Nonlinear causal discovery with confounders. Journal of the American Statistical Association 119 (546) (2023)
Rungang Han, Pixu Shi, Anru R Zhang
Guaranteed Functional Tensor Singular Value Decomposition. Journal of the American Statistical Association 119 (546) (2023)
Junlong Zhao, Yang Zhou, Yufeng Liu
Estimation of Linear Functionals in High-Dimensional Linear Models: From Sparsity to Nonsparsity. Journal of the American Statistical Association 119 (546) (2023)
Rungang Han, Pixu Shi, Anru R Zhang
Guaranteed Functional Tensor Singular Value Decomposition. Journal of the American Statistical Association 119 (546) (2023)
Sai Li, Linjun Zhang, T Tony Cai, Hongzhe Li
Estimation and Inference for High-Dimensional Generalized Linear Models with Knowledge Transfer. Journal of the American Statistical Association 119 (546) (2023)
Jia Wang, Xizhen Cai, Xiaoyue Niu, Runze Li
Variable Selection for High-dimensional Nodal Attributes in Social Networks with Degree Heterogeneity. Journal of the American Statistical Association 119 (546) (2023)
Stephen Bates, Trevor Hastie, Robert Tibshirani
Cross-validation: what does it estimate and how well does it do it? Journal of the American Statistical Association 119 (546) (2023)
Chunlin Li, Xiaotong Shen, Wei Pan
Nonlinear causal discovery with confounders. Journal of the American Statistical Association 119 (546) (2023)
Rungang Han, Pixu Shi, Anru R Zhang
Guaranteed Functional Tensor Singular Value Decomposition. Journal of the American Statistical Association 119 (546) (2023)

volume 119, number 547, 2023

Yixin Wang, Anthony Degleris, Alex Williams, Scott W Linderman
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models. Journal of the American Statistical Association 119 (547) (2023)