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Publication search results
found 404 matches
- 2024
- Medha Agarwal, Jason Xu:
Quasi-Newton Acceleration of EM and MM Algorithms via Broyden's Method. J. Comput. Graph. Stat. 33(2): 393-406 (2024) - David Bolin, Alexandre B. Simas, Zhen Xiong:
Covariance-Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference. J. Comput. Graph. Stat. 33(1): 64-74 (2024) - Li-Pang Chen:
Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors. J. Comput. Graph. Stat. 33(2): 407-420 (2024) - Fan Chen, Karl Rohe:
A New Basis for Sparse Principal Component Analysis. J. Comput. Graph. Stat. 33(2): 421-434 (2024) - Lanjue Chen, Jin Su, Alan T. K. Wan, Yong Zhou:
A Simple Divide-and-Conquer-based Distributed Method for the Accelerated Failure Time Model. J. Comput. Graph. Stat. 33(2): 681-698 (2024) - Alessandro Colombi, Raffaele Argiento, Lucia Paci, Alessia Pini:
Learning Block Structured Graphs in Gaussian Graphical Models. J. Comput. Graph. Stat. 33(1): 152-165 (2024) - William Consagra, Arun Venkataraman, Xing Qiu:
Efficient Multidimensional Functional Data Analysis Using Marginal Product Basis Systems. J. Comput. Graph. Stat. 33(2): 567-577 (2024) - Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu, Ottmar Cronie:
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes. J. Comput. Graph. Stat. 33(2): 588-602 (2024) - Priyam Das, Deborshee Sen, Debsurya De, Jue Hou, Zahra Shakeri Hossein Abad, Nicole Kim, Zongqi Xia, Tianxi Cai:
Clustering Sequence Data with Mixture Markov Chains with Covariates Using Multiple Simplex Constrained Optimization Routine (MSiCOR). J. Comput. Graph. Stat. 33(2): 379-392 (2024) - Walter Dempsey:
Recurrent Event Analysis in the Presence of Real-Time High Frequency Data via Random Subsampling. J. Comput. Graph. Stat. 33(2): 525-537 (2024) - Yongshi Deng, Thomas Lumley:
Multiple Imputation Through XGBoost. J. Comput. Graph. Stat. 33(2): 352-363 (2024) - Lih-Yuan Deng, Ching-Chi Yang, Dale Bowman, Dennis K. J. Lin, Henry Horng-Shing Lu:
Big Data Model Building Using Dimension Reduction and Sample Selection. J. Comput. Graph. Stat. 33(2): 435-447 (2024) - Christopher C. Drovandi, David J. Nott, David T. Frazier:
Improving the Accuracy of Marginal Approximations in Likelihood-Free Inference via Localization. J. Comput. Graph. Stat. 33(1): 101-111 (2024) - Christopher J. Fallaize, Theodore Kypraios:
Bayesian Model Choice for Directional Data. J. Comput. Graph. Stat. 33(1): 25-34 (2024) - Vít Fojtík, Petra Laketa, Pavlo Mozharovskyi, Stanislav Nagy:
On Exact Computation of Tukey Depth Central Regions. J. Comput. Graph. Stat. 33(2): 699-713 (2024) - Christopher J. Geoga, Michael L. Stein:
A Scalable Method to Exploit Screening in Gaussian Process Models with Noise. J. Comput. Graph. Stat. 33(2): 603-613 (2024) - Mohammad Ghasempour, Niloofar Moosavi, Xavier de Luna:
Convolutional Neural Networks for Valid and Efficient Causal Inference. J. Comput. Graph. Stat. 33(2): 714-723 (2024) - Maryclare Griffin:
Improved Pathwise Coordinate Descent for Power Penalties. J. Comput. Graph. Stat. 33(1): 310-315 (2024) - Maryclare Griffin, Peter D. Hoff:
Structured Shrinkage Priors. J. Comput. Graph. Stat. 33(1): 1-14 (2024) - Leying Guan:
Smooth and Probabilistic PARAFAC Model with Auxiliary Covariates. J. Comput. Graph. Stat. 33(2): 538-550 (2024) - David Gunawan, Robert Kohn, David J. Nott:
Flexible Variational Bayes Based on a Copula of a Mixture. J. Comput. Graph. Stat. 33(2): 665-680 (2024) - Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa:
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions. J. Comput. Graph. Stat. 33(2): 331-340 (2024) - Jie Hu, Xiao Chen, Yu Chen, Weiping Zhang:
Joint Network Reconstruction and Community Detection from Rich but Noisy Data. J. Comput. Graph. Stat. 33(2): 501-514 (2024) - Zhiyong Hu, Dipak K. Dey:
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-Like Penalty. J. Comput. Graph. Stat. 33(2): 477-486 (2024) - Byron C. Jaeger, Sawyer Welden, Kristin M. Lenoir, Jaime Lynn Speiser, Matthew W. Segar, Ambarish Pandey, Nicholas M. Pajewski:
Accelerated and Interpretable Oblique Random Survival Forests. J. Comput. Graph. Stat. 33(1): 192-207 (2024) - Santeri Karppinen, Sumeetpal S. Singh, Matti Vihola:
Conditional Particle Filters with Bridge Backward Sampling. J. Comput. Graph. Stat. 33(2): 364-378 (2024) - Lukasz Kidzinski, Trevor Hastie:
Modeling Longitudinal Data Using Matrix Completion. J. Comput. Graph. Stat. 33(2): 551-566 (2024) - Minwoo Kim, Shrijita Bhattacharya, Tapabrata Maiti:
Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation. J. Comput. Graph. Stat. 33(1): 75-84 (2024) - Chad Klumb, Martina Morris, Steven M. Goodreau, Samuel M. Jenness:
Improving and Extending STERGM Approximations Based on Cross-Sectional Data and Tie Durations. J. Comput. Graph. Stat. 33(1): 166-180 (2024) - Oh-Ran Kwon, Zhaosong Lu, Hui Zou:
Exactly Uncorrelated Sparse Principal Component Analysis. J. Comput. Graph. Stat. 33(1): 231-241 (2024)
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