| 1 | -- | 13 | Catherine B. Hurley, Mark O'Connell, Katarina Domijan. Interactive Slice Visualization for Exploring Machine Learning Models |
| 14 | -- | 25 | Sayani Gupta, Rob J. Hyndman, Dianne Cook, Antony Unwin. Visualizing Probability Distributions Across Bivariate Cyclic Temporal Granularities |
| 26 | -- | 39 | Jordan Rodu, Karen Kafadar. The q-q Boxplot |
| 40 | -- | 49 | Ursula Laa, Dianne Cook, Stuart Lee. Burning Sage: Reversing the Curse of Dimensionality in the Visualization of High-Dimensional Data |
| 50 | -- | 63 | Jacob W. Priddle, Scott A. Sisson, David T. Frazier, Ian Turner, Christopher C. Drovandi. Efficient Bayesian Synthetic Likelihood With Whitening Transformations |
| 64 | -- | 73 | Jiefeng Bi, Weining Shen, Weixuan Zhu. Random Forest Adjustment for Approximate Bayesian Computation |
| 74 | -- | 83 | Tony Pourmohamad, Herbert K. H. Lee. Bayesian Optimization Via Barrier Functions |
| 84 | -- | 99 | Lars Hertel, Pierre Baldi, Daniel L. Gillen. Reproducible Hyperparameter Optimization |
| 100 | -- | 112 | Matthew Heiner, Athanasios Kottas. Estimation and Selection for High-Order Markov Chains with Bayesian Mixture Transition Distribution Models |
| 113 | -- | 137 | Wei Jiang, Malgorzata Bogdan, Julie Josse, Szymon Majewski, Blazej Miasojedow, Veronika Rocková. Adaptive Bayesian SLOPE: Model Selection With Incomplete Data |
| 138 | -- | 150 | Beomseok Seo, Lin Lin, Jia Li. Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models |
| 151 | -- | 162 | Wesley Tansey, Victor Veitch, Haoran Zhang, Raul Rabadan, David M. Blei. The Holdout Randomization Test for Feature Selection in Black Box Models |
| 163 | -- | 175 | Nathan Osborne, Christine B. Peterson, Marina Vannucci. Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM |
| 176 | -- | 189 | Abolfazl Safikhani, Yue Bai, George Michailidis. Fast and Scalable Algorithm for Detection of Structural Breaks in Big VAR Models |
| 190 | -- | 203 | J. C. Poythress, Jeongyoun Ahn, Cheolwoo Park. Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data |
| 204 | -- | 218 | Jiaxin Hu, Chanwoo Lee, Miaoyan Wang. Generalized Tensor Decomposition With Features on Multiple Modes |
| 219 | -- | 230 | Erjia Cui, Andrew Leroux, Ekaterina Smirnova, Ciprian M. Crainiceanu. Fast Univariate Inference for Longitudinal Functional Models |
| 231 | -- | 240 | Xiaokang Liu, Shujie Ma, Kun Chen 0002. Multivariate Functional Regression Via Nested Reduced-Rank Regularization |
| 241 | -- | 253 | Yazhe Li, Niall M. Adams, Tony Bellotti. A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression |
| 254 | -- | 262 | Cencheng Shen, Sambit Panda, Joshua T. Vogelstein. The Chi-Square Test of Distance Correlation |
| 263 | -- | 282 | Mahsa Ashouri, Rob J. Hyndman, Galit Shmueli. Fast Forecast Reconciliation Using Linear Models |
| 283 | -- | 293 | Xiaotian Zheng, Athanasios Kottas, Bruno Sansó. On Construction and Estimation of Stationary Mixture Transition Distribution Models |
| 294 | -- | 300 | Keqian Min, Qing Mai, Xin Zhang. Fast and Separable Estimation in High-Dimensional Tensor Gaussian Graphical Models |
| 301 | -- | 303 | Tucker S. McElroy. Frequency Domain Calculation of Seasonal VARMA Autocovariances |
| 304 | -- | 311 | Hong Zhang 0038, Judong Shen, Zheyang Wu. A Fast and Accurate Approximation to the Distributions of Quadratic Forms of Gaussian Variables |
| 313 | -- | 323 | Joseph Vargovich, Toby Dylan Hocking. Linear Time Dynamic Programming for Computing Breakpoints in the Regularization Path of Models Selected From a Finite Set |
| 324 | -- | 336 | Seonghyun Jeong, Taeyoung Park, David A. Van Dyk. Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines |
| 337 | -- | 350 | Brian St. Thomas, KiSung You, Lizhen Lin, Lek-Heng Lim, Sayan Mukherjee 0001. Learning Subspaces of Different Dimensions |
| 351 | -- | 359 | Christine Yuen, Piotr Fryzlewicz. Exploiting Disagreement Between High-Dimensional Variable Selectors for Uncertainty Visualization |
| 360 | -- | 377 | Jaewoo Park, Yeseul Jeon, Minsuk Shin, Minjeong Jeon, Ick-Hoon Jin. Bayesian Shrinkage for Functional Network Models, With Applications to Longitudinal Item Response Data |
| 378 | -- | 389 | Sara Algeri, Xiangyu Zhang. Exhaustive Goodness of Fit Via Smoothed Inference and Graphics |
| 390 | -- | 402 | Hunyong Cho, Nicholas P. Jewell, Michael R. Kosorok. Interval Censored Recursive Forests |
| 403 | -- | 412 | Eric J. Beh, Rosaria Lombardo. Features of the Polynomial Biplot for Ordered Contingency Tables |
| 413 | -- | 421 | Salvatore D. Tomarchio, Michael P. B. Gallaugher, Antonio Punzo, Paul D. McNicholas. Mixtures of Matrix-Variate Contaminated Normal Distributions |
| 422 | -- | 435 | Mario Beraha, Raffaele Argiento, Jesper Møller, Alessandra Guglielmi. MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes |
| 436 | -- | 454 | Michael Bertolacci, Ori Rosen, Edward Cripps, Sally Cripps. AdaptSPEC-X: Covariate-Dependent Spectral Modeling of Multiple Nonstationary Time Series |
| 455 | -- | 465 | Christian E. Galarza Morales, Larissa A. Matos, Dipak K. Dey, Victor H. Lachos. On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions |
| 466 | -- | 476 | Garritt L. Page, Fernando A. Quintana, Peter Müller 0003. Clustering and Prediction With Variable Dimension Covariates |
| 477 | -- | 485 | Matthieu Marbac, Mohammed Sedki, Christophe Biernacki, Vincent Vandewalle. Simultaneous Semiparametric Estimation of Clustering and Regression |
| 486 | -- | 501 | H. Robert Frost. Eigenvectors from Eigenvalues Sparse Principal Component Analysis |
| 502 | -- | 511 | Emanuele Aliverti, Massimiliano Russo. Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model |
| 512 | -- | 528 | David J. Warne, Ruth E. Baker, Matthew J. Simpson. Rapid Bayesian Inference for Expensive Stochastic Models |
| 529 | -- | 540 | Shannon K. Gallagher, Dean Follmann. Branching Process Models to Identify Risk Factors for Infectious Disease Transmission |
| 541 | -- | 552 | Lorenzo Cappello, Julia A. Palacios. Adaptive Preferential Sampling in Phylodynamics With an Application to SARS-CoV-2 |
| 553 | -- | 562 | Hyung Park, Eva Petkova, Thaddeus Tarpey, R. Todd Ogden. A Single-Index Model With a Surface-Link for Optimizing Individualized Dose Rules |
| 563 | -- | 573 | Nicholas A. Heard. p-Values |
| 574 | -- | 585 | Alexander Tristan Maximilian Fisch, Idris A. Eckley, Paul Fearnhead. Subset Multivariate Collective and Point Anomaly Detection |
| 586 | -- | 599 | Sevvandi Kandanaarachchi, Rob J. Hyndman. Leave-One-Out Kernel Density Estimates for Outlier Detection |
| 600 | -- | 613 | Shijia Wang, Shufei Ge, Renny Doig, Liang-Liang Wang. Adaptive Semiparametric Bayesian Differential Equations Via Sequential Monte Carlo |
| 614 | -- | 627 | Garritt L. Page, Fernando A. Quintana, David B. Dahl. Dependent Modeling of Temporal Sequences of Random Partitions |