823 | -- | 834 | Bradley S. Price, Aaron J. Molstad, Ben Sherwood. Estimating Multiple Precision Matrices With Cluster Fusion Regularization |
835 | -- | 847 | Mark A. van de Wiel, Mirrelijn M. van Nee, Armin Rauschenberger. Fast Cross-validation for Multi-penalty High-dimensional Ridge Regression |
848 | -- | 862 | Ting Yang, Zhiqiang Tan. Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression |
863 | -- | 876 | Nelson Antunes, Shankar Bhamidi, Tianjian Guo, Vladas Pipiras, Bang Wang. Sampling Based Estimation of In-Degree Distribution for Directed Complex Networks |
877 | -- | 888 | Matias Quiroz, Minh-Ngoc Tran, Mattias Villani, Robert Kohn, Khue-Dung Dang. The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC |
889 | -- | 905 | Jonathan R. Bradley. An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model |
906 | -- | 919 | Kjartan Kloster Osmundsen, Tore Selland Kleppe, Roman Liesenfeld. Importance Sampling-Based Transport Map Hamiltonian Monte Carlo for Bayesian Hierarchical Models |
920 | -- | 933 | Haiying Wang, Dixin Zhang, Hua Liang, David Ruppert. Iterative Likelihood: A Unified Inference Tool |
934 | -- | 945 | Randy C. S. Lai, Jan Hannig, Thomas C. M. Lee. Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference |
946 | -- | 957 | Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran, Richard Gerlach. Manifold Optimization-Assisted Gaussian Variational Approximation |
958 | -- | 976 | David T. Frazier, Christopher C. Drovandi. Robust Approximate Bayesian Inference With Synthetic Likelihood |
977 | -- | 990 | Xuejun Yu, David J. Nott, Minh-Ngoc Tran, Nadja Klein. Assessment and Adjustment of Approximate Inference Algorithms Using the Law of Total Variance |
991 | -- | 1003 | Martin Slawski, Guoqing Diao, Emanuel Ben-David. A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data |
1004 | -- | 1018 | Xuening Zhu, Feng Li 0028, Hansheng Wang. Least-Square Approximation for a Distributed System |
1019 | -- | 1035 | Lu Yang. Assessment of Regression Models With Discrete Outcomes Using Quasi-Empirical Residual Distribution Functions |
1036 | -- | 1048 | Yanyan Zeng, Hongyu Zhao, Tao Wang 0067. Model-Based Microbiome Data Ordination: A Variational Approximation Approach |
1049 | -- | 1067 | Thomas Whitaker, Boris Beranger, Scott A. Sisson. Logistic Regression Models for Aggregated Data |
1068 | -- | 1080 | Arkaprava Roy, Brian J. Reich, Joseph Guinness, Russell T. Shinohara, Ana-Maria Staicu. Spatial Shrinkage Via the Product Independent Gaussian Process Prior |
1081 | -- | 1094 | Hsin-Cheng Huang, Noel Cressie, Andrew Zammit Mangion, Guowen Huang. False Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data |
1095 | -- | 1110 | Marcin Jurek, Matthias Katzfuss. Multi-Resolution Filters for Massive Spatio-Temporal Data |
1111 | -- | 1123 | Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski. Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks |
1124 | -- | 1142 | Danielle Sass, Bo Li, Brian J. Reich. Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty |
1143 | -- | 1155 | Nan-Jung Hsu, Hsin-Cheng Huang, Ruey S. Tsay. Matrix Autoregressive Spatio-Temporal Models |
1156 | -- | 1167 | Thomas Rusch, Patrick Mair, Kurt Hornik. Cluster Optimized Proximity Scaling |
1168 | -- | 1180 | Natalia da Silva, Dianne Cook, Eun-Kyung Lee. A Projection Pursuit Forest Algorithm for Supervised Classification |
1181 | -- | 1196 | Torsten Hothorn, Achim Zeileis. Predictive Distribution Modeling Using Transformation Forests |
1197 | -- | 1208 | Luis Nieto-Barajas, Gabriel Núñez-Antonio. Projected Pólya Tree |
1209 | -- | 1223 | Jing Wu, Ming-Hui Chen, Elizabeth D. Schifano, Jun Yan 0002. Online Updating of Survival Analysis |
1224 | -- | 1237 | Nathan Wycoff, Mickaël Binois, Stefan M. Wild. Sequential Learning of Active Subspaces |
1238 | -- | 1248 | Sang Jun Moon, Jong-June Jeon, Jason Sang Hun Lee, Yongdai Kim. Learning Multiple Quantiles With Neural Networks |
1249 | -- | 1256 | Grace Yoon, Christian L. Müller, Irina Gaynanova. Fast Computation of Latent Correlations |