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Publication search results
found 57 matches
- 2023
- Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez:
Comparing Two Samples Through Stochastic Dominance: A Graphical Approach. J. Comput. Graph. Stat. 32(2): 551-566 (2023) - Avanti Athreya, Zachary Lubberts, Carey E. Priebe, Youngser Park, Minh Tang, Vince Lyzinski, Michael J. Kane, Bryan Lewis:
Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference. J. Comput. Graph. Stat. 32(1): 145-156 (2023) - Miguel Biron-Lattes, Alexandre Bouchard-Côté, Trevor Campbell:
Pseudo-Marginal Inference for CTMCs on Infinite Spaces via Monotonic Likelihood Approximations. J. Comput. Graph. Stat. 32(2): 513-527 (2023) - Bart Blackburn, Mark S. Handcock:
Practical Network Modeling via Tapered Exponential-Family Random Graph Models. J. Comput. Graph. Stat. 32(2): 388-401 (2023) - Philippe Boileau, Nima S. Hejazi, Mark J. van der Laan, Sandrine Dudoit:
Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions. J. Comput. Graph. Stat. 32(2): 601-612 (2023) - Agnieszka Borowska, Ruth King:
Semi-Complete Data Augmentation for Efficient State Space Model Fitting. J. Comput. Graph. Stat. 32(1): 19-35 (2023) - Ming-Chung Chang:
Predictive Subdata Selection for Computer Models. J. Comput. Graph. Stat. 32(2): 613-630 (2023) - Kan Chen, Siyu Heng, Qi Long, Bo Zhang:
Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies. J. Comput. Graph. Stat. 32(2): 528-538 (2023) - Yiqun T. Chen, Sean Jewell, Daniela M. Witten:
More Powerful Selective Inference for the Graph Fused Lasso. J. Comput. Graph. Stat. 32(2): 577-587 (2023) - Erjia Cui, Ruonan Li, Ciprian M. Crainiceanu, Luo Xiao:
Fast Multilevel Functional Principal Component Analysis. J. Comput. Graph. Stat. 32(2): 366-377 (2023) - Aramayis Dallakyan, Mohsen Pourahmadi:
Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Replicated Time Series. J. Comput. Graph. Stat. 32(1): 157-170 (2023) - David Degras:
Scalable Feature Matching Across Large Data Collections. J. Comput. Graph. Stat. 32(1): 196-212 (2023) - Tianning Dong, Peiyi Zhang, Faming Liang:
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters. J. Comput. Graph. Stat. 32(2): 448-469 (2023) - Antonio Elías, Raúl Jiménez, Anna Maria Paganoni, Laura M. Sangalli:
Integrated Depths for Partially Observed Functional Data. J. Comput. Graph. Stat. 32(2): 341-352 (2023) - Flávio B. Gonçalves, Bárbara C. C. Dias:
Exact Bayesian Inference for Level-Set Cox Processes with Piecewise Constant Intensity Function. J. Comput. Graph. Stat. 32(1): 1-18 (2023) - Jiaqi Gu, Guosheng Yin:
Triangular Concordance Learning of Networks. J. Comput. Graph. Stat. 32(2): 434-447 (2023) - Bin Guo, Lynn E. Eberly, Pierre-Gilles Henry, Christophe Lenglet, Eric F. Lock:
Multiway Sparse Distance Weighted Discrimination. J. Comput. Graph. Stat. 32(2): 730-743 (2023) - Sarah E. Heaps:
Enforcing Stationarity through the Prior in Vector Autoregressions. J. Comput. Graph. Stat. 32(1): 74-83 (2023) - Florian Hébert, David Causeur, Mathieu Emily:
Adaptive Handling of Dependence in High-Dimensional Regression Modeling. J. Comput. Graph. Stat. 32(1): 213-225 (2023) - Shih-Ting Huang, Johannes Lederer:
DeepMoM: Robust Deep Learning With Median-of-Means. J. Comput. Graph. Stat. 32(1): 181-195 (2023) - Shuning Huo, Jeffrey S. Morris, Hongxiao Zhu:
Ultra-Fast Approximate Inference Using Variational Functional Mixed Models. J. Comput. Graph. Stat. 32(2): 353-365 (2023) - Honghe Jin, Lynne Billard:
Copulas and Histogram-Valued Data. J. Comput. Graph. Stat. 32(2): 642-657 (2023) - Kai Kang, Xin Yuan Song:
Joint Modeling of Longitudinal Imaging and Survival Data. J. Comput. Graph. Stat. 32(2): 402-412 (2023) - Adam B. Kashlak, Sergii Myroshnychenko, Susanna Spektor:
Analytic Permutation Testing for Functional Data ANOVA. J. Comput. Graph. Stat. 32(1): 294-303 (2023) - John Koo, Minh Tang, Michael W. Trosset:
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs. J. Comput. Graph. Stat. 32(1): 131-144 (2023) - Xinmin Li, Feifei Chen, Hua Liang, David Ruppert:
Model Checking for Logistic Models When the Number of Parameters Tends to Infinity. J. Comput. Graph. Stat. 32(1): 241-251 (2023) - Dongjin Li, Somak Dutta, Vivekananda Roy:
Model Based Screening Embedded Bayesian Variable Selection for Ultra-high Dimensional Settings. J. Comput. Graph. Stat. 32(1): 61-73 (2023) - Jialu Li, Guan Yu, Qizhai Li, Yufeng Liu:
Sample-Wise Combined Missing Effect Model with Penalization. J. Comput. Graph. Stat. 32(1): 263-274 (2023) - Jingwei Liang, Clarice Poon:
Variable Screening for Sparse Online Regression. J. Comput. Graph. Stat. 32(1): 275-293 (2023) - Jicai Liu, Jinhong Li, Riquan Zhang:
K-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function. J. Comput. Graph. Stat. 32(1): 304-318 (2023)
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