JournalTOCs

Journal of Computational & Graphical Statistics
Journal Prestige (SJR): 3.135

Citation Impact (citeScore): 2
Number of Followers: 21

Full-text available via subscription

Subscription journal
ISSN (Print) 1061-8600 - ISSN (Online) 1537-2715
Published by Taylor and Francis

[2652 journals]

Computationally Efficient Learning of Gaussian Linear Structural Equation
Models with Equal Error Variances
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  Authors: Gunwoong Park
  Pages: 1 - 26
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2023-01-20T06:42:13Z
  DOI: 10.1080/10618600.2022.2154779
Cost-based Feature Selection for Network Model Choice
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  Authors: Louis Raynal, Till Hoffmann, Jukka-Pekka Onnela
  Pages: 1 - 10
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2023-01-20T06:33:24Z
  DOI: 10.1080/10618600.2022.2151453
Correction
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  Pages: 1 - 1
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2023-01-19T10:32:08Z
  DOI: 10.1080/10618600.2023.2165501
clusterMLD: An Efficient Hierarchical Clustering Method for Multivariate
Longitudinal Data
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  Authors: Junyi Zhou, Ying Zhang, Wanzhu Tu
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2023-01-12T03:43:56Z
  DOI: 10.1080/10618600.2022.2149540
Graphical and Computational Tools to Guide Parameter Choice for the
Cluster Weighted Robust Model
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  Authors: Andrea Cappozzo, Luis Angel García-Escudero, Francesca Greselin, Agustín Mayo-Iscar
  Pages: 1 - 20
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2023-01-09T03:47:25Z
  DOI: 10.1080/10618600.2022.2154218
Quasi-Monte Carlo Methods for Binary Event Models with Complex Family Data
Open Access Article
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  Authors: Benjamin Christoffersen, Behrang Mahjani, Mark Clements, Hedvig Kjellström, Keith Humphreys
  Pages: 1 - 9
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2023-01-09T03:46:17Z
  DOI: 10.1080/10618600.2022.2151454
Challenges in Interpreting Epidemiological Surveillance Data –
Experiences from Germany
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  Authors: Cornelius Fritz, Giacomo De Nicola, Felix Günther, David Rügamer, Martje Rave, Marc Schneble, Andreas Bender, Maximilian Weigert, Ralph Brinks, Annika Hoyer, Ursula Berger, Helmut Küchenhoff, Göran Kauermann
  Pages: 1 - 2
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-12-15T05:53:43Z
  DOI: 10.1080/10618600.2022.2126482
Sensitivity Analysis of Pandemic Models Can Support Effective Policy
Decisions
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  Authors: Emanuele Borgonovo, Xuefei Lu, Giovanni Rabitti
  Pages: 1 - 2
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-12-15T05:50:42Z
  DOI: 10.1080/10618600.2022.2126483
Lessons from West Virginia’s Pandemic Response
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  Authors: Bradley S. Price, John P. Saldanha, Dariane Drake, Katherine Kopp
  Pages: 1 - 2
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-12-15T05:47:45Z
  DOI: 10.1080/10618600.2022.2126481
Algorithms for Sparse Support Vector Machines
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  Authors: Alfonso Landeros, Kenneth Lange
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-12-13T05:00:44Z
  DOI: 10.1080/10618600.2022.2146697
Variational Bayes in State Space Models: Inferential and Predictive
Accuracy
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  Authors: David T. Frazier, Rubén Loaiza-Maya, Gael M. Martin
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-12-13T04:57:29Z
  DOI: 10.1080/10618600.2022.2134875
An Asymptotic Analysis of Random Partition Based Minibatch Momentum
Methods for Linear Regression Models
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  Authors: Yuan Gao, Xuening Zhu, Haobo Qi, Guodong Li, Riquan Zhang, Hansheng Wang
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-12-08T06:06:50Z
  DOI: 10.1080/10618600.2022.2143786
Regularized Linear Programming Discriminant Rule with Folded Concave
Penalty for Ultrahigh-Dimensional Data
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  Authors: Changcheng Li, Runze Li, Jiawei Wen, Songshan Yang, Xiang Zhan
  Pages: 1 - 9
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-12-01T05:31:51Z
  DOI: 10.1080/10618600.2022.2143785
A Reproducing Kernel Hilbert Space Framework for Functional Classification
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  Authors: Peijun Sang, Adam B. Kashlak, Linglong Kong
  Pages: 1 - 9
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-11-30T09:57:35Z
  DOI: 10.1080/10618600.2022.2138407
Transfer Learning of Individualized Treatment Rules from Experimental to
Real-World Data
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  Authors: Lili Wu, Shu Yang
  Pages: 1 - 10
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-11-30T09:47:45Z
  DOI: 10.1080/10618600.2022.2141752
Hybrid Kronecker Product Decomposition and Approximation
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  Authors: Chencheng Cai, Rong Chen, Han Xiao
  Pages: 1 - 15
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-11-28T07:59:03Z
  DOI: 10.1080/10618600.2022.2134873
Eye Fitting Straight Lines in the Modern Era
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  Authors: Emily A. Robinson, Reka Howard, Susan VanderPlas
  Pages: 1 - 8
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-11-21T08:51:42Z
  DOI: 10.1080/10618600.2022.2140668
Spectral Clustering via Adaptive Layer Aggregation for Multi-Layer
Networks
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  Authors: Sihan Huang, Haolei Weng, Yang Feng
  Pages: 1 - 15
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-11-21T08:44:19Z
  DOI: 10.1080/10618600.2022.2134874
Bayesian Tree-Structured Two-Level Clustering for Nested Data Analysis
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  Authors: Yinqiao Yan, Xiangyu Luo
  Pages: 1 - 10
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-11-14T09:44:05Z
  DOI: 10.1080/10618600.2022.2130927
A Dirichlet Model of Alignment Cost in Mixed-Membership Unsupervised
Clustering
Open Access Article
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  Authors: Xiran Liu, Naama M. Kopelman, Noah A. Rosenberg
  Pages: 1 - 15
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-11-14T09:41:00Z
  DOI: 10.1080/10618600.2022.2127739
Beyond Linear Dynamic Functional Connectivity: A Vine Copula Change Point
Model
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  Authors: Xin Xiong, Ivor Cribben
  Pages: 1 - 20
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-11-14T09:39:07Z
  DOI: 10.1080/10618600.2022.2127738
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive
Elastic Net
Open Access Article
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  Authors: Mirrelijn M. van Nee, Tim van de Brug, Mark A. van de Wiel
  Pages: 1 - 11
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-11-10T05:44:27Z
  DOI: 10.1080/10618600.2022.2128809
Locally Sparse Function-on-Function Regression
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  Authors: Mauro Bernardi, Antonio Canale, Marco Stefanucci
  Pages: 1 - 15
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-11-09T04:16:47Z
  DOI: 10.1080/10618600.2022.2130926
Asynchronous and Distributed Data Augmentation for Massive Data Settings
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  Authors: Jiayuan Zhou, Kshitij Khare, Sanvesh Srivastava
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-11-08T09:57:48Z
  DOI: 10.1080/10618600.2022.2130928
Vecchia-Approximated Deep Gaussian Processes for Computer Experiments
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  Authors: Annie Sauer, Andrew Cooper, Robert B. Gramacy
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-11-08T05:17:18Z
  DOI: 10.1080/10618600.2022.2129662
Gibbs Priors for Bayesian Nonparametric Variable Selection with Weak
Learners
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  Authors: Antonio R. Linero, Junliang Du
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-11-04T07:55:07Z
  DOI: 10.1080/10618600.2022.2142594
Implicit Copula Variational Inference
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  Authors: Michael Stanley Smith, Rubén Loaiza-Maya
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-31T11:40:36Z
  DOI: 10.1080/10618600.2022.2119987
Finite Mixtures of Multivariate Wrapped Normal Distributions for Model
Based Clustering of p-Torus Data
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  Authors: Luca Greco, Pier Luigi Novi Inverardi, Claudio Agostinelli
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-28T07:44:32Z
  DOI: 10.1080/10618600.2022.2128808
Meta Clustering for Collaborative Learning
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  Authors: Chenglong Ye, Reza Ghanadan, Jie Ding
  Pages: 1 - 10
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-27T06:24:59Z
  DOI: 10.1080/10618600.2022.2126484
On Data Augmentation for Models Involving Reciprocal Gamma Functions
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  Authors: Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa
  Pages: 1 - 9
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-27T06:14:55Z
  DOI: 10.1080/10618600.2022.2119988
Efficient Posterior Sampling for Bayesian Poisson Regression
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  Authors: Laura D’Angelo, Antonio Canale
  Pages: 1 - 10
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-24T08:10:07Z
  DOI: 10.1080/10618600.2022.2123337
Testing Biased Randomization Assumptions and Quantifying Imperfect
Matching and Residual Confounding in Matched Observational Studies
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  Authors: Kan Chen, Siyu Heng, Qi Long, Bo Zhang
  Pages: 1 - 11
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-19T02:53:45Z
  DOI: 10.1080/10618600.2022.2116447
Stability Approach to Regularization Selection for Reduced-Rank Regression
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  Authors: Canhong Wen, Qin Wang, Yuan Jiang
  Pages: 1 - 11
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-14T07:25:18Z
  DOI: 10.1080/10618600.2022.2119986
Scaled Torus Principal Component Analysis
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  Authors: Pavlos Zoubouloglou, Eduardo García-Portugués, J. S. Marron
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-14T07:19:11Z
  DOI: 10.1080/10618600.2022.2119985
Robust Multivariate Lasso Regression with Covariance Estimation
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  Authors: Le Chang, A. H. Welsh
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-14T07:09:32Z
  DOI: 10.1080/10618600.2022.2118752
Pseudo-Marginal Inference for CTMCs on Infinite Spaces via Monotonic
Likelihood Approximations
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  Authors: Miguel Biron-Lattes, Alexandre Bouchard-Côté, Trevor Campbell
  Pages: 1 - 15
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-14T07:07:44Z
  DOI: 10.1080/10618600.2022.2118750
Distributed Decoding From Heterogeneous 1-Bit Compressive Measurements
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  Authors: Canyi Chen, Liping Zhu
  Pages: 1 - 11
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-14T07:03:07Z
  DOI: 10.1080/10618600.2022.2118751
Statistical Analysis of Locally Parameterized Shapes
Open Access Article
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  Authors: Mohsen Taheri, Jörn Schulz
  Pages: 1 - 13
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-14T07:01:35Z
  DOI: 10.1080/10618600.2022.2116445
Optimal Integrating Learning for Split Questionnaire Design Type Data
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  Authors: Cunjie Lin, Jingfu Peng, Yichen Qin, Yang Li, Yuhong Yang
  Pages: 1 - 15
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-14T06:57:19Z
  DOI: 10.1080/10618600.2022.2118753
Convergence of Position-Dependent MALA with Application to Conditional
Simulation in GLMMs
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  Authors: Vivekananda Roy, Lijin Zhang
  Pages: 1 - 12
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-14T06:55:08Z
  DOI: 10.1080/10618600.2022.2118128
Correction
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  Pages: 1 - 1
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-12T04:48:13Z
  DOI: 10.1080/10618600.2022.2129213
Accelerated Componentwise Gradient Boosting Using Efficient Data
Representation and Momentum-Based Optimization
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  Authors: Daniel Schalk, Bernd Bischl, David Rügamer
  Pages: 1 - 11
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-11T04:30:33Z
  DOI: 10.1080/10618600.2022.2116446
Practical Network Modeling via Tapered Exponential-Family Random Graph
Models
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  Authors: Bart Blackburn, Mark S. Handcock
  Pages: 1 - 14
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-11T04:27:11Z
  DOI: 10.1080/10618600.2022.2116444
Linear Manifold Modeling and Graph Estimation based on Multivariate
Functional Data with Different Coarseness Scales
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  Authors: Eugen Pircalabelu, Gerda Claeskens
  Pages: 1 - 10
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-11T04:22:48Z
  DOI: 10.1080/10618600.2022.2108818
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and
Doubly Intractable Bayesian Inference
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  Authors: Luiza S. C. Piancastelli, Nial Friel, Wagner Barreto-Souza, Hernando Ombao
  Pages: 1 - 18
  Abstract: .
  
  Citation: Journal of Computational and Graphical Statistics
  PubDate: 2022-10-07T09:36:01Z
  DOI: 10.1080/10618600.2022.2116443
Fast Multilevel Functional Principal Component Analysis
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Cross-Validated Loss-based Covariance Matrix Estimator Selection in High
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Copulas and Histogram-Valued Data
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A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm
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A Bayesian Singular Value Decomposition Procedure for Missing Data
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Ultra-Fast Approximate Inference Using Variational Functional Mixed Models
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Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under
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Using CVX to Construct Optimal Designs for Biomedical Studies with
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Template Independent Component Analysis with Spatial Priors for Accurate
Subject-Level Brain Network Estimation and Inference
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Joint Modeling of Longitudinal Imaging and Survival Data
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Micro–Macro Changepoint Inference for Periodic Data Sequences
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Mixture of Linear Models Co-supervised by Deep Neural Networks
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A Simple Algorithm for Exact Multinomial Tests
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Design Principles for Data Analysis
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Variable Screening for Sparse Online Regression
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Nonstationary Gaussian Process Discriminant Analysis With Variable
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Triangular Concordance Learning of Networks
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Deep Learning With Functional Inputs
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More Powerful Selective Inference for the Graph Fused Lasso
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Mutually Exciting Point Process Graphs for Modeling Dynamic Networks
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Streamlined Variational Inference for Linear Mixed Models with Crossed
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Multiway Sparse Distance Weighted Discrimination
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A Nearest Neighbor Open-Set Classifier based on Excesses of Distance
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Exact Bayesian Inference for Discretely Observed Markov Jump Processes
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Predictive Subdata Selection for Computer Models
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Fast, Scalable Approximations to Posterior Distributions in Extended
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Exact Bayesian Inference for Level-Set Cox Processes with Piecewise
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K-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution
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DeepMoM: Robust Deep Learning With Median-of-Means
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High-Dimensional Multi-Task Learning using Multivariate Regression and
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Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance
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Comparing Two Samples Through Stochastic Dominance: A Graphical Approach
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Numerical Tolerance for Spectral Decompositions of Random Matrices and
Applications to Network Inference
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An Optimal Transport Approach for Selecting a Representative Subsample
with Application in Efficient Kernel Density Estimation
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Semi-Complete Data Augmentation for Efficient State Space Model Fitting
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Popularity Adjusted Block Models are Generalized Random Dot Product Graphs
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Bayesian Kernel Two-Sample Testing
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Analysis of Professional Basketball Field Goal Attempts via a Bayesian
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Model Checking for Logistic Models When the Number of Parameters Tends to
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Efficient Optimization of Partition Scan Statistics via the Consecutive
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  Authors: Charles A. Pehlivanian, Daniel B. Neill
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Confidence Bands for a Log-Concave Density
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  Authors: Guenther Walther, Alnur Ali, Xinyue Shen, Stephen Boyd
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Enforcing Stationarity through the Prior in Vector Autoregressions
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Adaptive Handling of Dependence in High-Dimensional Regression Modeling
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  Authors: Florian Hébert, David Causeur, Mathieu Emily
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Persistence Flamelets: Topological Invariants for Scale Spaces
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  Authors: Tullia Padellini, Pierpaolo Brutti
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Eigen-Adjusted Functional Principal Component Analysis
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  Authors: Ci-Ren Jiang, Eardi Lila, John A. D. Aston, Jane-Ling Wang
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Sparse Functional Boxplots for Multivariate Curves
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  Authors: Zhuo Qu, Marc G. Genton
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Model Based Screening Embedded Bayesian Variable Selection for Ultra-high
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Scalable Feature Matching Across Large Data Collections
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Generalized Connectivity Matrix Response Regression with Applications in
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Sample-Wise Combined Missing Effect Model with Penalization
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Integrated Depths for Partially Observed Functional Data
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Analytic Permutation Testing for Functional Data ANOVA
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Search Algorithms and Loss Functions for Bayesian Clustering
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Bayesian Distance Weighted Discrimination
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Dimension Reduction Forests: Local Variable Importance Using Structured
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Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs
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Double-Matched Matrix Decomposition for Multi-View Data
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Survival Regression with Accelerated Failure Time Model in XGBoost
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A General Method for Deriving Tight Symbolic Bounds on Causal Effects
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Importance Sampling with the Integrated Nested Laplace Approximation
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  Authors: Martin Outzen Berild, Sara Martino, Virgilio Gómez-Rubio, Håvard Rue
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Multiple Domain and Multiple Kernel Outcome-Weighted Learning for
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Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects
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Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with
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Visualization for Interval Data
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Vertex Nomination Between Graphs via Spectral Embedding and Quadratic
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  Authors: Runbing Zheng, Vince Lyzinski, Carey E. Priebe, Minh Tang
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A Distance-Preserving Matrix Sketch
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Dermoscopic Image Classification with Neural Style Transfer
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Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions
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  Authors: Alain Hecq, Marie Ternes, Ines Wilms
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Bayesian Semiparametric Covariate Informed Multivariate Density
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GEE-Assisted Forward Regression for Spatial Latent Variable Models
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Graded Matching for Large Observational Studies
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Log-Rank-Type Tests for Equality of Distributions in High-Dimensional
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Parameter Estimation of Binned Hawkes Processes
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Partition-Based Nonstationary Covariance Estimation Using the Stochastic
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The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation
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Silhouettes and Quasi Residual Plots for Neural Nets and Tree-based
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Data Integration with Oracle Use of External Information from
Heterogeneous Populations
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A Scalable Hierarchical Lasso for Gene–Environment Interactions
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  Authors: Natalia Zemlianskaia, W. James Gauderman, Juan Pablo Lewinger
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Adaptive Design and Analysis Via Partitioning Trees for Emulation of a
Complex Computer Code
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Two-Dimensional Functional Principal Component Analysis for Image Feature
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  Authors: Haolun Shi, Yuping Yang, Liangliang Wang, Da Ma, Mirza Faisal Beg, Jian Pei, Jiguo Cao
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Variable Selection with Multiply-Imputed Datasets: Choosing Between
Stacked and Grouped Methods
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  Authors: Jiacong Du, Jonathan Boss, Peisong Han, Lauren J. Beesley, Michael Kleinsasser, Stephen A. Goutman, Stuart Batterman, Eva L. Feldman, Bhramar Mukherjee
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A User-Friendly Computational Framework for Robust Structured Regression
with the L2 Criterion
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Selective Imputation of Covariates in High Dimensional Censored Data
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Inference and Computation for Sparsely Sampled Random Surfaces
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  Authors: Tomas Masak, Tomas Rubin, Victor M. Panaretos
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The Mellin Transform to Manage Quadratic Forms in Normal Random Variables
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  Authors: Aldo Gardini, Fedele Greco, Carlo Trivisano
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Online Smoothing for Diffusion Processes Observed with Noise
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  Authors: Shouto Yonekura, Alexandros Beskos
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  PubDate: 2022-02-18T10:12:26Z
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Generalized Linear Mixed Models With Crossed Effects and Unit-specific
Survey Weights
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  Authors: Jan Pablo Burgard, Patricia Dörr
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  PubDate: 2022-01-10T11:33:37Z
  DOI: 10.1080/10618600.2021.2001342