:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Xun-Jian, Zhou, Hua, Lange, Kenneth, Tian, Guo-Liang
Format:	Preprint
Published:	2022
Subjects:	Numerical Analysis Methodology 62-08
Online Access:	https://arxiv.org/abs/2212.00797
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Stein-log-Sobolev inequality and the exponential rate of convergence for the continuous Stein variational gradient descent method
by: Carrillo, José A., et al.
Published: (2024)

Sparse inverse Cholesky factorization of dense kernel matrices by greedy conditional selection
by: Huan, Stephen, et al.
Published: (2023)

Functional continuum regression
by: Zhou, Zhiyang
Published: (2019)

Estimating systematic errors in Bayesian inversion using transport maps
by: Casfor, Maren, et al.
Published: (2025)

Continuum centroid classifier for functional data
by: Zhou, Zhiyang, et al.
Published: (2021)

Rate accelerated inference for integrals of multivariate random functions
by: Patilea, Valentin, et al.
Published: (2024)

Statistical algorithms for low-frequency diffusion data: A PDE approach
by: Giordano, Matteo, et al.
Published: (2024)

Factor Augmented Quantile Regression Model
by: Wei, Xiaoyang, et al.
Published: (2025)

Optimal Forecast Reconciliation with Uncertainty Quantification
by: Møller, Jan Kloppenborg, et al.
Published: (2024)

Fast QR updating methods for statistical applications
by: Bernardi, Mauro, et al.
Published: (2024)

REAMP: A Stochastic Resonance Approach for Multi-Change Point Detection in High-Dimensional Data
by: Shi, Xiaoping, et al.
Published: (2026)

Dynamic Time Warping-based imputation of long gaps in human mobility trajectories
by: McCool, Danielle, et al.
Published: (2024)

Bayesian Time-Varying Meta-Analysis via Hierarchical Mean-Variance Random-effects Models
by: Kubota, Kohsuke, et al.
Published: (2025)

Majorizing Stress Formula Two
by: de Leeuw, Jan
Published: (2024)

Inference for non-stationary time series quantile regression with inequality constraints
by: Sun, Yuan, et al.
Published: (2024)

Radon--Wasserstein Gradient Flows for Interacting-Particle Sampling in High Dimensions
by: Hess-Childs, Elias, et al.
Published: (2026)

Counting on count regression: overlooked aspects of the Negative Binomial specification
by: Settanni, Ettore
Published: (2024)

elicito: A Python Package for Expert Prior Elicitation
by: Bockting, Florence, et al.
Published: (2025)

Bayesian multilevel compositional data analysis with the R package multilevelcoda
by: Le, Flora, et al.
Published: (2024)

Multilevel Sampling in Algebraic Statistics
by: Kirk, Nathan, et al.
Published: (2025)

GenTwoArmsTrialSize: An R Statistical Software Package to estimate Generalized Two Arms Randomized Clinical Trial Sample Size
by: Soltanifar, Mohsen, et al.
Published: (2024)

Antimodes and Graphical Anomaly Exploration via Adaptive Depth Quantile Functions
by: Chandler, Gabriel, et al.
Published: (2022)

Bayesian multilevel compositional data analysis: introduction, evaluation, and application
by: Le, Flora, et al.
Published: (2024)

Deep Regression for Repeated Measurements under Covariate Shift
by: Wang, Yingxuan, et al.
Published: (2026)

Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction
by: Gao, Yuan, et al.
Published: (2024)

Invariant quantile regression for heterogeneous environments
by: Fu, Bo, et al.
Published: (2026)

Beyond the Trade-off Curve: Multivariate and Advanced Risk-Utility Maps for Evaluating Anonymized and Synthetic Data
by: Thees, Oscar, et al.
Published: (2025)

A $k$NN procedure in semiparametric functional data analysis
by: Novo, Silvia, et al.
Published: (2024)

Empowering Multi-class Classification for Multivariate Functional Data with Simultaneous Feature Selection
by: Wang, Shuoyang, et al.
Published: (2025)

Estimation of log-Gaussian gamma processes with iterated posterior linearization and Hamiltonian Monte Carlo
by: Härkönen, Teemu, et al.
Published: (2026)

Surrogate-based Bayesian calibration methods for chaotic systems: a comparison of traditional and non-traditional approaches
by: Holthuijzen, Maike F., et al.
Published: (2025)

Optimizing Forecast Combination Weights Using Exponentially Weighted Hit and Win Rate Losses
by: van Eijk, Henry D., et al.
Published: (2025)

Model Error Embedding with Orthogonal Gaussian Processes
by: Kuppa, Mridula, et al.
Published: (2026)

Efficient global estimation of conditional-value-at-risk through stochastic kriging and extreme value theory
by: Khayyer, Armin, et al.
Published: (2024)

On feature selection in double-imbalanced data settings: a Random Forest approach
by: Demaria, Fabio
Published: (2025)

Saddlepoint Monte Carlo and its Application to Exact Ecological Inference
by: Voldoire, Théo, et al.
Published: (2024)

A spatial-correlated multitask linear mixed-effects model for imaging genetics
by: Pu, Zhibin, et al.
Published: (2024)

TSSS: A Novel Triangulated Spherical Spline Smoothing for Surface-based Data
by: Gu, Zhiling, et al.
Published: (2024)

Ranking Perspective for Tree-based Methods with Applications to Symbolic Feature Selection
by: Luo, Hengrui, et al.
Published: (2024)

Simulation and inference methods for non-Markovian stochastic biochemical reaction networks
by: Steele, Thomas P., et al.
Published: (2025)