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Publication search results
found 94 matches
- 2021
- Jeongyoun Ahn, Hee Cheol Chung, Yongho Jeon:
Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination. J. Comput. Graph. Stat. 30(1): 192-203 (2021) - Angelos Alexopoulos, Leonardo Bottolo:
Bayesian Variable Selection for Gaussian Copula Regression Models. J. Comput. Graph. Stat. 30(3): 578-593 (2021) - Nelson Antunes, Shankar Bhamidi, Tianjian Guo, Vladas Pipiras, Bang Wang:
Sampling Based Estimation of In-Degree Distribution for Directed Complex Networks. J. Comput. Graph. Stat. 30(4): 863-876 (2021) - Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski:
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. J. Comput. Graph. Stat. 30(4): 1111-1123 (2021) - Jean-François Bégin, Mathieu Boudreault:
Likelihood Evaluation of Jump-Diffusion Models Using Deterministic Nonlinear Filters. J. Comput. Graph. Stat. 30(2): 452-466 (2021) - Jonathan R. Bradley:
An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model. J. Comput. Graph. Stat. 30(4): 889-905 (2021) - Tomasz Cakala, Blazej Miasojedow, Wojciech Niemiro:
Particle MCMC With Poisson Resampling: Parallelization and Continuous Time Models. J. Comput. Graph. Stat. 30(3): 671-684 (2021) - Yao Chen, Qingyi Gao, Faming Liang, Xiao Wang:
Nonlinear Variable Selection via Deep Neural Networks. J. Comput. Graph. Stat. 30(2): 484-492 (2021) - You-Lin Chen, Mladen Kolar, Ruey S. Tsay:
Tensor Canonical Correlation Analysis With Convergence and Statistical Guarantees. J. Comput. Graph. Stat. 30(3): 728-744 (2021) - Jingxiang Chen, Quoc Tran-Dinh, Michael R. Kosorok, Yufeng Liu:
Identifying Heterogeneous Effect Using Latent Supervised Clustering With Adaptive Fusion. J. Comput. Graph. Stat. 30(1): 43-54 (2021) - Chao Cheng, Rui Wang, Heping Zhang:
Surrogate Residuals for Discrete Choice Models. J. Comput. Graph. Stat. 30(1): 67-77 (2021) - Clément Chevalier, Olivia Martius, David Ginsbourger:
Modeling Nonstationary Extreme Dependence With Stationary Max-Stable Processes and Multidimensional Scaling. J. Comput. Graph. Stat. 30(3): 745-755 (2021) - Erjia Cui, Ciprian M. Crainiceanu, Andrew Leroux:
Additive Functional Cox Model. J. Comput. Graph. Stat. 30(3): 780-793 (2021) - Pascaline Descloux, Sylvain Sardy:
Model Selection With Lasso-Zero: Adding Straw to the Haystack to Better Find Needles. J. Comput. Graph. Stat. 30(3): 530-543 (2021) - Richard G. Everitt, Paulina A. Rowinska:
Delayed Acceptance ABC-SMC. J. Comput. Graph. Stat. 30(1): 55-66 (2021) - Ye Fan, Nan Lin, Xianjun Yin:
Penalized Quantile Regression for Distributed Big Data Using the Slack Variable Representation. J. Comput. Graph. Stat. 30(3): 557-565 (2021) - Yuan Feng, Luo Xiao, Eric C. Chi:
Sparse Single Index Models for Multivariate Responses. J. Comput. Graph. Stat. 30(1): 115-124 (2021) - Youyi Fong, Jun Xu:
Forward Stepwise Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods. J. Comput. Graph. Stat. 30(3): 519-529 (2021) - David T. Frazier, Christopher C. Drovandi:
Robust Approximate Bayesian Inference With Synthetic Likelihood. J. Comput. Graph. Stat. 30(4): 958-976 (2021) - Rina Friedberg, Julie Tibshirani, Susan Athey, Stefan Wager:
Local Linear Forests. J. Comput. Graph. Stat. 30(2): 503-517 (2021) - Philippe Gagnon, Arnaud Doucet:
Nonreversible Jump Algorithms for Bayesian Nested Model Selection. J. Comput. Graph. Stat. 30(2): 312-323 (2021) - Indrayudh Ghosal, Giles Hooker:
Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and Its Variance Estimate. J. Comput. Graph. Stat. 30(2): 493-502 (2021) - Nathaniel E. Helwig:
Spectrally Sparse Nonparametric Regression via Elastic Net Regularized Smoothers. J. Comput. Graph. Stat. 30(1): 182-191 (2021) - Marius Hofert, Avinash Prasad, Mu Zhu:
Quasi-Random Sampling for Multivariate Distributions via Generative Neural Networks. J. Comput. Graph. Stat. 30(3): 647-670 (2021) - Andrew J. Holbrook, Philippe Lemey, Guy Baele, Simon Dellicour, Dirk Brockmann, Andrew Rambaut, Marc A. Suchard:
Massive Parallelization Boosts Big Bayesian Multidimensional Scaling. J. Comput. Graph. Stat. 30(1): 11-24 (2021) - Torsten Hothorn, Achim Zeileis:
Predictive Distribution Modeling Using Transformation Forests. J. Comput. Graph. Stat. 30(4): 1181-1196 (2021) - Nan-Jung Hsu, Hsin-Cheng Huang, Ruey S. Tsay:
Matrix Autoregressive Spatio-Temporal Models. J. Comput. Graph. Stat. 30(4): 1143-1155 (2021) - Jianchang Hu, Yazhen Wang:
Quantum Annealing via Path-Integral Monte Carlo With Data Augmentation. J. Comput. Graph. Stat. 30(2): 284-296 (2021) - Hsin-Cheng Huang, Noel Cressie, Andrew Zammit-Mangion, Guowen Huang:
False Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data. J. Comput. Graph. Stat. 30(4): 1081-1094 (2021) - Michael Jauch, Peter D. Hoff, David B. Dunson:
Monte Carlo Simulation on the Stiefel Manifold via Polar Expansion. J. Comput. Graph. Stat. 30(3): 622-631 (2021)
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