:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mu, Wancen, Chen, Jiawen, Davis, Eric S., Reed, Kathleen, Phanstiel, Douglas, Love, Michael I., Li, Didong
Format:	Preprint
Publié:	2024
Sujets:	Methodology
Accès en ligne:	https://arxiv.org/abs/2401.07400
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Contrastive CUR: Interpretable Joint Feature and Sample Selection for Case-Control Studies
par: Zhang, Eric, et autres
Publié: (2025)

Contrastive Dimension Reduction: A Systematic Review
par: Hawke, Sam, et autres
Publié: (2025)

The Nearest-Neighbor Derivative Process: Modeling Spatial Rates of Change in Massive Datasets
par: Chen, Jiawen, et autres
Publié: (2025)

Efficient nonparametric estimation with difference-in-differences in the presence of network dependence and interference
par: Jetsupphasuk, Michael, et autres
Publié: (2025)

On Statistical Inference for Rates of Change in Spatial Processes over Riemannian Manifolds
par: Li, Didong, et autres
Publié: (2026)

Difference-in-differences with stochastic policy shifts of a continuous treatment
par: Jetsupphasuk, Michael, et autres
Publié: (2025)

Bayesian Spatiotemporal Wombling
par: Halder, Aritra, et autres
Publié: (2024)

Copula-Based Time Series for Non-Gaussian and Non-Markovian Stationary Processes
par: Pappert, Sven, et autres
Publié: (2026)

Subscedastic weighted least squares estimates
par: Bryan, Jordan, et autres
Publié: (2024)

A Time-Series Model for Areal Data Using Spatially Correlated Gaussian Processes
par: Posada, Alejandro Rozo, et autres
Publié: (2025)

Wavelet Based Time Series Models with Time-Varying Thresholds
par: Davis, Rhea, et autres
Publié: (2026)

Lower Ricci Curvature for Efficient Community Detection
par: Park, Yun Jin, et autres
Publié: (2024)

Exchangeable Gaussian Processes with application to epidemics
par: Bouranis, Lampros, et autres
Publié: (2025)

Parsimonious Modeling of Periodic Time Series Using Fourier and Wavelet Techniques
par: Davis, Rhea, et autres
Publié: (2025)

Contrastive linear regression
par: Zhang, Boyang, et autres
Publié: (2024)

Time Series Gaussian Chain Graph Models
par: Fang, Qin, et autres
Publié: (2026)

Hybrid Smoothing for Anomaly Detection in Time Series
par: Hofkes, Matthew, et autres
Publié: (2024)

Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
par: Zhang, Xinyu, et autres
Publié: (2026)

Distributed Lag Interaction Model with Index Modification
par: Demateis, Danielle, et autres
Publié: (2025)

Multi-Band Variable-Lag Granger Causality: A Unified Framework for Causal Time Series Inference across Frequencies
par: Sookkongwaree, Chakattrai, et autres
Publié: (2025)

Laplace Approximations for Mixed-Effects and Gaussian Process Quantile Regression
par: Nava, Andrea, et autres
Publié: (2026)

Enhancing Data Completeness in Time Series: Imputation Strategies for Missing Data Using Significant Periodically Correlated Components
par: Ahmad, Asmaa, et autres
Publié: (2025)

Beyond Fixed Restriction Time: Adaptive Restricted Mean Survival Time Methods in Clinical Trials
par: Sun, Jinghao, et autres
Publié: (2025)

On Spatial Lag Models estimated using crowdsourcing, web-scraping or other unconventionally collected data
par: Arbia, Giuseppe, et autres
Publié: (2020)

Network Estimation for Stationary Time Series
par: Shelley, Madeline A., et autres
Publié: (2025)

The Kernel Manifold: A Geometric Approach to Gaussian Process Model Selection
par: Islam, Md Shafiqul, et autres
Publié: (2026)

Structured Bayesian Regression Tree Models for Estimating Distributed Lag Effects: The R Package dlmtree
par: Im, Seongwon, et autres
Publié: (2025)

Gaussian copula correlation network analysis with application to multi-omics data
par: Tomilina, Ekaterina, et autres
Publié: (2025)

Lagged coherence: explicit and testable definition
par: Pascual-Marqui, Roberto D., et autres
Publié: (2023)

On the application of Gaussian graphical models to paired data problems
par: Ranciati, Saverio, et autres
Publié: (2023)

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

Gaussian Process Assisted Active Learning of Physical Laws
par: Chen, Jiuhai, et autres
Publié: (2019)

Missing data imputation using a truncated Gaussian infinite factor model with application to metabolomics data
par: Finucane, Kate, et autres
Publié: (2024)

Nonstationary Gaussian Process Surrogates
par: Booth, Annie S., et autres
Publié: (2023)

Deep Gaussian Processes with Gradients
par: Booth, Annie S.
Publié: (2025)

Sample Splitting and Assessing Goodness-of-fit of Time Series
par: Davis, Richard A., et autres
Publié: (2024)

Discrete Autoregressive Switching Processes with Cumulative Shrinkage Priors for Graphical Modeling of Time Series Data
par: Hadj-Amar, Beniamino, et autres
Publié: (2024)

Private Federated Learning for High-dimensional Time Series
par: Chen, Kejun, et autres
Publié: (2026)

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

Wasserstein and Convex Gaussian Approximations for Non-stationary Time Series of Diverging Dimensionality
par: Liu, Miaoshiqi, et autres
Publié: (2025)