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Principal component analysis balancing prediction and approximation accuracy for spatial data J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-06-16 Si Cheng, Magali N. Blanco, Timothy V. Larson, Lianne Sheppard, Adam Szpiro, Ali Shojaie
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Nonstationary Spatial Process Models with Spatially Varying Covariance Kernels J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-06-10 Sébastien Coube-Sisqueille, Sudipto Banerjee, Benoît Liquet
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A Bootstrap-based Method for Testing Similarity of Matched Networks J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-06-05 Somnath Bhadra, Kaustav Chakraborty, Srijan Sengupta, Soumendra N. Lahiri
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Communication-Efficient Pilot Estimation for Non-Randomly Distributed Data in Diverging Dimensions J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-06-02 Yue Chao, Xiaochao Xia, Wei Zhong
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Missing Value Imputation in Relational Data using Variational Inference J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-05-29 Simon Fontaine, Jian Kang, Ji Zhu
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Bayesian Adaptive Tucker Decompositions for Tensor Factorization J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-05-22 Federica Stolf, Antonio Canale
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Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-05-20 Tianyu Zhan, Yihua Gu
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Efficient Approximation of Leverage Scores in Two-dimensional Autoregressive Models with Application to Image Anomaly Detection J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-05-19 Junlie Huang, Xinlai Kang, Qiannan Huang, Mengyu Li, Cheng Meng, Jingyi Zhang
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Community Detection with Heterogeneous Block Covariance Model J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-05-19 Xiang Li, Yunpeng Zhao, Qing Pan, Ning Hao
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Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-05-19 Yikun Zhang, Yen-Chi Chen
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Gaussian Variational Approximation for Ordinal Data with Crossed Random Effects J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-05-16 Manja Grønberg, John T. Ormerod, Line K. H. Clemmensen
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Order Determination for Tensor-valued Observations Using Data Augmentation J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-05-08 Una Radojičić, Niko Lietzén, Klaus Nordhausen, Joni Virta
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Spatially Clustered Compositional Regression: A Nonparametric Bayesian Approach J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-05-07 Jingcheng Meng, Yimeng Ren, Xuening Zhu, Guanyu Hu
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Spatial Adaptive Selection using Binary Conditional Autoregressive Model with Application to Brain-Computer Interface J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-05-01 Zikai Lin, Junsouk Choi, Ruoxuan Mao, Bangyao Zhao, Jian Kang
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Finite Mixtures of Multivariate Contaminated Normal Censored Regression Models J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-04-22 Tsung-I Lin, Wan-Lun Wang
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A Stability Framework for Parameter Selection in the Minimum Covariance Determinant Problem J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-04-22 Qiang Heng, Hui Shen, Kenneth Lange
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Dependence-based fuzzy clustering of functional time series J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-04-09 Ángel López-Oriona, Ying Sun, Han Lin Shang
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ProSpar-GP: Scalable Gaussian Process Modeling with Massive Nonstationary Datasets J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-04-09 Kevin Li, Simon Mak
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Can You See The Change? Change Point Detection Using Visual Inference J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-04-05 Miguel Antonio Fudolig, Emily A. Robinson, Susan VanderPlas
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Simultaneous Outlier Detection and Prediction for Kriging with True Identification J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-04-04 Youjie Zeng, Zhanfeng Wang, Youngjo Lee, Niansheng Tang
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Clustering Time-Evolving Networks Using Temporal Exponential-Family Random Graph Models with Conditional Dyadic Independence and Dynamic Latent Blocks J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-03-28 Amal Agarwal, Kevin H. Lee, Lingzhou Xue
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Multiplex Depth for Network-Valued Data and Applications J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-03-18 Maoyu Zhang, Linsui Deng, Wenlin Dai
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A Cepstral Model for Efficient Spectral Analysis of Covariate-Dependent Time Series J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-03-12 Zeda Li, Yuexiao Dong
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An Integrated GMM Shrinkage Approach with Consistent Moment Selection from Multiple External Sources J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-03-11 Fang Fang, Tian Long, Jun Shao, Lei Wang
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Perception and Cognitive Implications of Logarithmic Scales for Exponentially Increasing Data: Perceptual Sensitivity Tested with Statistical Lineups J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-03-11 Emily A. Robinson, Réka Howard, Susan VanderPlas
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Gibbs Sampling Using Anti-Correlation Gaussian Data Augmentation, with Applications to L1-Ball-Type Models J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-03-05 Yu Zheng, Leo L. Duan
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High-Dimensional Covariate-Dependent Gaussian Graphical Models J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-03-04 Jiacheng Wang, Xin Gao
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Enhancing Scalability in Bayesian Nonparametric Factor Analysis of Spatiotemporal Data J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-03-04 Yifan Cheng, Cheng Li
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Is This Normal? A New Projection Pursuit Index to Assess a Sample Against a Multivariate Null Distribution J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-02-24 Annalisa Calvi, Ursula Laa, Dianne Cook
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Biplots for the Correlation Matrix J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-02-24 Jan Graffelman
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Powerful Significance Testing for Unbalanced Clusters J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-02-24 Thomas H. Keefe, J. S. Marron
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A New Projection Pursuit Index for Big Data J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-02-21 Yajie Duan, Javier Cabrera, Birol Emir
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Sample-Specific Learning of Lymphovascular Invasion with Heterogeneous Spatial Patterns J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-02-21 Shih-Ting Huang, Robert B. West, Belén Rivero-Gutiérrez, Graham A. Colditz, Shu Jiang
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Joint Clustering With Alignment for Temporal Data in a One-Point-per-Experiment Setting J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-02-19 Polina Arsenteva, Mohamed Amine Benadjaoud, Hervé Cardot
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Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-02-19 Xin Zhang, Shan Yu, Zhengyuan Zhu, Xin Wang
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Enhancing Adaptive Spline Regression: An Evolutionary Approach to Optimal Knot Placement and Smoothing Parameter Selection J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-02-07 Anton Thielmann, Thomas Kneib, Benjamin Säfken
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Pursuing Homogeneity and Sparsity in Simultaneous Quantile Regression J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-02-05 Zhen Zeng, Weixin Yao
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Sensitivity Analysis for Binary Outcome Misclassification in Randomization Tests via Integer Programming J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-02-04 Siyu Heng, Pamela A. Shaw
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Bayesian Regularized Regression Copula Processes for Multivariate Responses J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-29 Nadja Klein, Michael Stanley Smith, Ryan A. Chisholm, David J. Nott
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Dynamic Supervised Principal Component Analysis for Classification J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-29 Wenbo Ouyang, Ruiyang Wu, Ning Hao, Hao Helen Zhang
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Assumption-Lean Regression for Nonnegative Response via Variational Representation J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-27 Andrey Babkin
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Online Kernel-Based Mode Learning J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-27 Tao Wang, Weixin Yao
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Generative Neural Networks for Characteristic Functions J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-21 Florian Brück
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A Flexible Framework for Synthesizing Categorical Sequences with Application to Human Activity Patterns J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-16 Zuofu Huang, Julian Wolfson, Jayne A. Fulkerson, Ryan Demmer, Helen N. Chen
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Variable Selection and Basis Learning for Ordinal Classification J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-13 Minwoo Kim, Sangil Han, Jeongyoun Ahn, Sungkyu Jung
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Estimating the Hawkes Process From a Discretely Observed Sample Path J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-10 Feng Chen, Tsz-Kit Jeffrey Kwan, Tom Stindl
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Variable Selection for High-Dimensional Heteroscedastic Regression and Its Applications J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-09 Po-Hsiang Peng, Hai-Tang Chiou, Hsueh-Han Huang, Ching-Kang Ing
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Stochastic Gradient Descent-based Inference for Dynamic Network Models with Attractors J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-06 Hancong Pan, Xiaojing Zhu, Cantay Caliskan, Dino P. Christenson, Konstantinos Spiliopoulos, Dylan Walker, Eric D. Kolaczyk
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Bayesian Pairwise Comparison of High-Dimensional Images J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-06 Subharup Guha, Peihua Qiu
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Extrapolation Before Imputation Reduces Bias When Imputing Censored Covariates J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-06 Sarah C. Lotspeich, Tanya P. Garcia
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Simultaneous Estimation of Multiple Treatment Effects from Observational Studies J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-06 Xiaochuan Shi, Dehan Kong, Linbo Wang
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Bayesian Partial Reduced-Rank Regression J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-03 Maria F. Pintado, Matteo Iacopini, Luca Rossini, Alexander Y. Shestopaloff
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Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2025-01-02 Yongkai Chen, Shushan Wu, Ping Ma, Wenxuan Zhong
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High-Dimensional Block Diagonal Covariance Structure Detection Using Singular Vectors J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2024-11-05 Jan O. Bauer
The assumption of independent subvectors arises in many aspects of multivariate analysis. In most real-world applications, however, we lack prior knowledge about the number of subvectors and the sp...
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Optimal Subsampling for Data Streams with Measurement Constrained Categorical Responses J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2024-10-31 Jun Yu, Zhiqiang Ye, Mingyao Ai, Ping Ma
High-velocity, large-scale data streams have become pervasive. Frequently, the associated labels for such data prove costly to measure and are not always available upfront. Consequently, the analys...
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Multi-task Learning for Gaussian Graphical Regressions with High Dimensional Covariates J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2024-10-31 Jingfei Zhang, Yi Li
Gaussian graphical regression is a powerful approach for regressing the precision matrix of a Gaussian graphical model on covariates, which permits the response variables and covariates to outnumbe...
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Latent Markov time-interaction processes J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2024-10-31 Rosario Barone, Alessio Farcomeni, Maura Mezzetti
We present parametric and semiparametric latent Markov time-interaction processes, that are point processes where the occurrence of an event can increase or reduce the probability of future events....
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Multi-label Random Subspace Ensemble Classification1 J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2024-10-28 Fan Bi, Jianan Zhu, Yang Feng
In this work, we develop a new ensemble learning framework, multi-label Random Subspace Ensemble (mRaSE), for multi-label classification. Given a base classifier (e.g., multinomial logistic regress...
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Heterogeneous functional regression for subgroup analysis J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2024-10-28 Yeqing Zhou, Fei Jiang
With ever increasing number of features of modern datasets, data heterogeneity is gradually becoming the norm rather than the exception. Whereas classical regressions usually assume all the samples...
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Qini Curves for Multi-Armed Treatment Rules J. Comput. Graph. Stat. (IF 1.4) Pub Date : 2024-10-24 Erik Sverdrup, Han Wu, Susan Athey, Stefan Wager
Qini curves have emerged as an attractive and popular approach for evaluating the benefit of data-driven targeting rules for treatment allocation. We propose a generalization of the Qini curve to m...