Journal of the American Statistical Association
Building the Big Tent for Statistics
Robert N. Rodriguez
págs. 1-6
Modeling and Forecasting Daily Electricity Load Curves: A Hybrid Approach
Cho Haeran, Yannig Goude, Xavier Brossat, Yao Qiwei
págs. 7-21
Circuit Theory and Model-Based Inference for Landscape Connectivity
Ephraim M. Hanks, Mevin B. Hooten
págs. 22-33
A Bayesian Procedure for File Linking to Analyze End-of-Life Medical Costs
Roee Gutman, Christopher C. Afendulis, Alan M. Zaslavsky
págs. 34-47
Ho Man-Wai, Tu Wanzhu, Pulak Ghosh, Ram C. Tiwari
págs. 48-68
A Bayesian Graphical Model for ChIP-Seq Data on Histone Modifications
Riten Mitra, Peter Müller, Liang Shoudan, Yue Lu, Ji Yuan
págs. 69-80
Michael W. Robbins, Sujit K. Ghosh, Joshua D. Habiger
págs. 81-95
Reconstructing Past Populations With Uncertainty From Fragmentary Data
Mark C. Wheldon, Adrian E. Raftery, Samuel J. Clark, Patrick Gerland
págs. 96-110
Duchwan Ryu, Faming Liang, Bani K. Mallick
págs. 111-123
págs. 124-134
Effect Modification and Design Sensitivity in Observational Studies
Hsu Jesse Y., Dylan S. Small, Paul R. Rosenbaum
págs. 135-148
Estimating Latent Processes on a Network From Indirect Measurements
Edoardo M. Airoldi, Alexander W. Blocker
págs. 149-164
Selection Adjusted Confidence Intervals With More Power to Determine the Sign
Asaf Weinstein, William Fithian, Yoav Benjamini
págs. 165-176
Susanne M. Schennach, Hu Yingyao
págs. 177-186
Classification via Bayesian Nonparametric Learning of Affine Subspaces
Garritt Page, Abhishek Bhattacharya, David Dunson
págs. 187-201
Extending the State-Space Model to Accommodate Missing Values in Responses and Covariates
Arlene Naranjo, A. Alexandre Trindade, George Casella
págs. 202-216
A Unified Approach to Semiparametric Transformation Models Under General Biased Sampling Schemes
Jane Paik Kim, Lu Wenbin, Tony Sit, Zhiliang Ying
págs. 217-227
págs. 228-236
On Partial Sufficient Dimension Reduction With Applications to Partially Linear Multi-Index Models
Feng Zhenghui, Wen Xuerong Meggie, Yu Zhou, Zhu Lixing
págs. 237-246
págs. 247-264
Two-Sample Covariance Matrix Testing and Support Recovery in High-Dimensional and Sparse Settings
Tony Cai, Liu Weidong, Xia Yin
págs. 265-277
págs. 278-287
Learning Sparse Causal Gaussian Networks With Experimental Intervention: Regularization and Coordinate Descent
Fu Fei, Zhou Qing
págs. 288-300
Inferential Models: A Framework for Prior-Free Posterior Probabilistic Inference
Ryan R. Martin, Chuanhai Liu
págs. 301-313
Misspecification Testing in a Class of Conditional Distributional Models
Christoph Rothe, Dominik Wied
págs. 314-324
A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data
Liang Faming, Cheng Yichen, Song Qifan, Park Jincheol, Yang Ping
págs. 325-339
On Sampling Strategies in Bayesian Variable Selection Problems With Large Model Spaces
G. García-donato, Miguel Angel Martínez Beneito
págs. 340-352
págs. 353-358
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