:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mu, Wancen, Chen, Jiawen, Davis, Eric S., Reed, Kathleen, Phanstiel, Douglas, Love, Michael I., Li, Didong
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2401.07400
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Contrastive CUR: Interpretable Joint Feature and Sample Selection for Case-Control Studies
by: Zhang, Eric, et al.
Published: (2025)

Contrastive Dimension Reduction: A Systematic Review
by: Hawke, Sam, et al.
Published: (2025)

The Nearest-Neighbor Derivative Process: Modeling Spatial Rates of Change in Massive Datasets
by: Chen, Jiawen, et al.
Published: (2025)

Efficient nonparametric estimation with difference-in-differences in the presence of network dependence and interference
by: Jetsupphasuk, Michael, et al.
Published: (2025)

On Statistical Inference for Rates of Change in Spatial Processes over Riemannian Manifolds
by: Li, Didong, et al.
Published: (2026)

Difference-in-differences with stochastic policy shifts of a continuous treatment
by: Jetsupphasuk, Michael, et al.
Published: (2025)

Bayesian Spatiotemporal Wombling
by: Halder, Aritra, et al.
Published: (2024)

Copula-Based Time Series for Non-Gaussian and Non-Markovian Stationary Processes
by: Pappert, Sven, et al.
Published: (2026)

Subscedastic weighted least squares estimates
by: Bryan, Jordan, et al.
Published: (2024)

A Time-Series Model for Areal Data Using Spatially Correlated Gaussian Processes
by: Posada, Alejandro Rozo, et al.
Published: (2025)

Wavelet Based Time Series Models with Time-Varying Thresholds
by: Davis, Rhea, et al.
Published: (2026)

Lower Ricci Curvature for Efficient Community Detection
by: Park, Yun Jin, et al.
Published: (2024)

Exchangeable Gaussian Processes with application to epidemics
by: Bouranis, Lampros, et al.
Published: (2025)

Parsimonious Modeling of Periodic Time Series Using Fourier and Wavelet Techniques
by: Davis, Rhea, et al.
Published: (2025)

Contrastive linear regression
by: Zhang, Boyang, et al.
Published: (2024)

Time Series Gaussian Chain Graph Models
by: Fang, Qin, et al.
Published: (2026)

Hybrid Smoothing for Anomaly Detection in Time Series
by: Hofkes, Matthew, et al.
Published: (2024)

Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
by: Zhang, Xinyu, et al.
Published: (2026)

Distributed Lag Interaction Model with Index Modification
by: Demateis, Danielle, et al.
Published: (2025)

Multi-Band Variable-Lag Granger Causality: A Unified Framework for Causal Time Series Inference across Frequencies
by: Sookkongwaree, Chakattrai, et al.
Published: (2025)

Laplace Approximations for Mixed-Effects and Gaussian Process Quantile Regression
by: Nava, Andrea, et al.
Published: (2026)

Enhancing Data Completeness in Time Series: Imputation Strategies for Missing Data Using Significant Periodically Correlated Components
by: Ahmad, Asmaa, et al.
Published: (2025)

Beyond Fixed Restriction Time: Adaptive Restricted Mean Survival Time Methods in Clinical Trials
by: Sun, Jinghao, et al.
Published: (2025)

On Spatial Lag Models estimated using crowdsourcing, web-scraping or other unconventionally collected data
by: Arbia, Giuseppe, et al.
Published: (2020)

Network Estimation for Stationary Time Series
by: Shelley, Madeline A., et al.
Published: (2025)

The Kernel Manifold: A Geometric Approach to Gaussian Process Model Selection
by: Islam, Md Shafiqul, et al.
Published: (2026)

Structured Bayesian Regression Tree Models for Estimating Distributed Lag Effects: The R Package dlmtree
by: Im, Seongwon, et al.
Published: (2025)

Gaussian copula correlation network analysis with application to multi-omics data
by: Tomilina, Ekaterina, et al.
Published: (2025)

Lagged coherence: explicit and testable definition
by: Pascual-Marqui, Roberto D., et al.
Published: (2023)

On the application of Gaussian graphical models to paired data problems
by: Ranciati, Saverio, et al.
Published: (2023)

EstemPMM: Polynomial Maximization Method for Non-Gaussian Regression and Time Series in R
by: Zabolotnii, Serhii
Published: (2026)

Gaussian Process Assisted Active Learning of Physical Laws
by: Chen, Jiuhai, et al.
Published: (2019)

Missing data imputation using a truncated Gaussian infinite factor model with application to metabolomics data
by: Finucane, Kate, et al.
Published: (2024)

Nonstationary Gaussian Process Surrogates
by: Booth, Annie S., et al.
Published: (2023)

Deep Gaussian Processes with Gradients
by: Booth, Annie S.
Published: (2025)

Sample Splitting and Assessing Goodness-of-fit of Time Series
by: Davis, Richard A., et al.
Published: (2024)

Discrete Autoregressive Switching Processes with Cumulative Shrinkage Priors for Graphical Modeling of Time Series Data
by: Hadj-Amar, Beniamino, et al.
Published: (2024)

Private Federated Learning for High-dimensional Time Series
by: Chen, Kejun, et al.
Published: (2026)

A Distributed Lag Approach to the Generalised Dynamic Factor Model
by: Gersing, Philipp
Published: (2024)

Wasserstein and Convex Gaussian Approximations for Non-stationary Time Series of Diverging Dimensionality
by: Liu, Miaoshiqi, et al.
Published: (2025)