default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJournal of Computational and Graphical Statistics, Volume 34
Volume 34, Number 1, 2025
- David Ginsbourger, Cédric Schärer:
Fast Calculation of Gaussian Process Multiple-Fold Cross-Validation Residuals and their Covariances. 1-14 - Lucas Erlandson, Ana María Estrada Gómez, Edmond Chow, Kamran Paynabar
:
smashGP: Large-Scale Spatial Modeling via Matrix-Free Gaussian Processes. 15-33 - Thomas Y. Sun, Daniel R. Kowal:
Ultra-Efficient MCMC for Bayesian Longitudinal Functional Data Analysis. 34-46 - Ping Yu, Gongming Shi, Chunjie Wang, Xinyuan Song:
Distance-based Clustering of Functional Data with Derivative Principal Component Analysis. 47-58 - Andrew Leroux, Ciprian M. Crainiceanu:
Dynamic Prediction Using Landmark Historical Functional Cox Regression. 59-71 - Israel Martínez-Hernández, Marc G. Genton:
Functional Time Series Analysis and Visualization Based on Records. 72-83 - David T. Frazier, Ruben Loaiza-Maya, Gael M. Martin, Bonsoo Koo:
Loss-Based Variational Bayes Prediction. 84-95 - Blake Hansen, Alejandra Avalos-Pacheco, Massimiliano Russo, Roberta De Vito:
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings. 96-108 - Matthew Heiner, Garritt L. Page, Fernando A. Quintana:
A Projection Approach to Local Regression with Variable-Dimension Covariates. 109-122 - Jonathan R. Bradley, Madelyn Clinch:
Generating Independent Replicates Directly from the Posterior Distribution for a Class of Spatial Hierarchical Models. 123-139 - Benjamin Sischka, Göran Kauermann:
Stochastic Block Smooth Graphon Model. 140-154 - Yang Han, Lingjiao Wang, Wei Liu, Frank Bretz:
Multiple-Use Calibration for All Future Values and Exact Two-Sided Simultaneous Tolerance Intervals in Linear Regression. 155-161 - Hanxiao Chen, W. John Braun, Xiaoping Shi:
Iterated Data Sharpening. 162-174 - Shuyuan Wu, Jing Zhou, Ke Xu, Hansheng Wang:
Class-Distributed Learning for Multinomial Logistic Regression with High Dimensional Features and a Large Number of Classes. 175-186 - Taehwa Choi, Seohyeon Park, Hunyong Cho, Sangbum Choi:
Interval-Censored Linear Quantile Regression. 187-198 - Xiongwen Ke, Yanan Fan:
Bayesian L 1/2 Regression. 199-210 - Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, Xu Liu:
Relative Entropy Gradient Sampler for Unnormalized Distribution. 211-221 - Evan Sidrow, Nancy Heckman, Alexandre Bouchard-Côté, Sarah M. E. Fortune, Andrew W. Trites, Marie Auger-Méthé:
Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models. 222-238 - Nathaniel E. Helwig:
Versatile Descent Algorithms for Group Regularization and Variable Selection in Generalized Linear Models. 239-252 - Kisung You, Dennis L. Shung, Mauro Giuffrè:
On the Wasserstein Median of Probability Measures. 253-266 - Robin Dunn, Aditya Gangrade, Larry A. Wasserman, Aaditya Ramdas:
Universal Inference Meets Random Projections: A Scalable Test for Log-Concavity. 267-279 - Yilin Zhang, Songshan Yang:
Kernel Angle Dependence Measures in Metric Spaces. 280-289 - Reza Drikvandi, Reza Modarres:
A Distribution-Free Method for Change Point Detection in Non-Sparse High Dimensional Data. 290-305 - Trambak Banerjee, Bhaswar B. Bhattacharya, Gourab Mukherjee:
Bootstrapped Edge Count Tests for Nonparametric Two-Sample Inference Under Heterogeneity. 306-317 - Yong He, Zichen Liu, Yalin Wang:
Distributed Learning for Principal Eigenspaces without Moment Constraints. 318-329 - Traymon E. Beavers, Ge Cheng, Yajie Duan, Javier Cabrera, Mariusz Lubomirski, Dhammika Amaratunga, Jeffrey E. Teigler:
Data Nuggets: A Method for Reducing Big Data While Preserving Data Structure. 330-342 - Xin Xing, Peng Zeng, Youhui Ye, Wenxuan Zhong:
Parsimonious Tensor Dimension Reduction. 343-359 - Fabio Centofanti, Mia Hubert, Biagio Palumbo, Peter J. Rousseeuw:
Multivariate Singular Spectrum Analysis by Robust Diagonalwise Low-Rank Approximation. 360-373 - Dylan Clark-Boucher, Jeffrey W. Miller:
Principal Variables Analysis for Non-Gaussian Data. 374-383 - Biplab Paul, Philip T. Reiss, Erjia Cui, Noemi Foà:
Continuous-Time Multivariate Analysis. 384-394
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-05-19 20:54 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
