数学
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Conformal network link prediction with false discovery rate control under unstructured missingness
作者Wenqin Du; Wanteng Ma; Dong Xia; Yuan Zhang; Wen Zhou
作者单位1. Department of Data Sciences and Operations, University of Southern California; 2. Department of Statistics and Data Science, University of Pennsylvania; 3. Department of Mathematics, Hong Kong University of Science and Technology; 4. Department of Statistics, The Ohio State University; 5. Department of Biostatistics, School of Global Public Health, New York University
An Enhanced Projection Pursuit Tree Classifier with Visual Methods for Assessing Algorithmic Improvements
作者Natalia da Silva; Dianne Cook; Eun-Kyung Lee
作者单位1. Instituto de Estadística (IESTA), Universidad de la República; 2. Department of Econometrics and Business Statistics, Monash University; 3. Department of Statistics, Ewha Womans University
Optimal combination of composite likelihoods using approximate Bayesian computation with application to state-space models
作者Wentao Li; Rosabeth White; Dennis Prangle
作者单位1. Department of Mathematics, University of Manchester; 2. School of Mathematics, Statistics and Physics, Newcastle University; 3. School of Mathematics, University of Bristol
Simultaneous Feature- and Sample-Splitting ADMM for Penalized Rank Regression
作者Yifan Jiang; Songshan Yang; Le Bao; Runze Li
作者单位1. Department of Statistics, The Pennsylvania State University; 2. Center for Applied Statistics, BRAIN and Institute of Statistics and Big Data, Renmin University of China
Semiparametric Estimation for Error-Prone Partially Linear Single-Index Models
作者Li-Pang Chen; Jou-Chin Wu; Grace Y. Yi
作者单位1. Department of Statistics, National Chengchi University; 2. Department of Statistical and Actuarial Sciences, Department of Computer Science, University of Western Ontario
Scalable Skewed Bayesian Inference for Latent Gaussian Models Using INLA and Variational Bayes
作者Shourya Dutta; Janet van Niekerk; Håvard Rue
作者单位1. Statistics Program, CEMSE Division, King Abdullah University of Science and Technology; 2. Department of Statistics, University of Pretoria
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