Marginal Analysis of Count Time Series in the Presence of Missing Observations
Fuente:
arXiv
Saved in:
| Main Author: | Nik, Simon |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mapping Multivariate Phenotypes in the Presence of Missing Observations for Family-Based Data
by: Sahu, Soumya, et al.
Published: (2025)
by: Sahu, Soumya, et al.
Published: (2025)
Inverse Probability Weighting of Count Exposures in the Presence of Missing Data: A Simulation Study
by: Danka, Martin N., et al.
Published: (2026)
by: Danka, Martin N., et al.
Published: (2026)
Weighted Parameter Estimators of the Generalized Extreme Value Distribution in the Presence of Missing Observations
by: McVittie, James H., et al.
Published: (2025)
by: McVittie, James H., et al.
Published: (2025)
Time Series Treatment Effects Analysis with Always-Missing Controls
by: Shu, Juan, et al.
Published: (2025)
by: Shu, Juan, et al.
Published: (2025)
MMD Two-sample Testing in the Presence of Arbitrarily Missing Data
by: Zeng, Yijin, et al.
Published: (2024)
by: Zeng, Yijin, et al.
Published: (2024)
Marginal Likelihood Inference for Fitting Dynamical Survival Analysis Models to Epidemic Count Data
by: Roy, Suchismita, et al.
Published: (2026)
by: Roy, Suchismita, et al.
Published: (2026)
Nonparametric Estimation of Path-specific Effects in Presence of Nonignorable Missing Covariates
by: Shan, Jiawei, et al.
Published: (2024)
by: Shan, Jiawei, et al.
Published: (2024)
Exact Bounds of Spearman's footrule in the Presence of Missing Data with Applications to Independence Testing
by: Zeng, Yijin, et al.
Published: (2025)
by: Zeng, Yijin, et al.
Published: (2025)
New Methods for Network Count Time Series
by: Liu, Hengxu, et al.
Published: (2023)
by: Liu, Hengxu, et al.
Published: (2023)
Recoverability of Causal Effects under Presence of Missing Data: a Longitudinal Case Study
by: Holovchak, Anastasiia, et al.
Published: (2024)
by: Holovchak, Anastasiia, et al.
Published: (2024)
Bayesian Structural Learning with Parametric Marginals for Count Data: An Application to Microbiota Systems
by: Vinciotti, Veronica, et al.
Published: (2022)
by: Vinciotti, Veronica, et al.
Published: (2022)
Equal Marginal Power for Co-Primary Endpoints
by: Bond, Simon
Published: (2026)
by: Bond, Simon
Published: (2026)
Estimating Extreme Wave Surges in the Presence of Missing Data
by: McVittie, James H., et al.
Published: (2025)
by: McVittie, James H., et al.
Published: (2025)
A Marginal Maximum Likelihood Approach for Hierarchical Simultaneous Autoregressive Models with Missing Data
by: Wijayawardhana, Anjana, et al.
Published: (2024)
by: Wijayawardhana, Anjana, et al.
Published: (2024)
Enhancing Data Completeness in Time Series: Imputation Strategies for Missing Data Using Significant Periodically Correlated Components
by: Ahmad, Asmaa, et al.
Published: (2025)
by: Ahmad, Asmaa, et al.
Published: (2025)
Statistical Inference for High-dimensional Matrix-variate Factor Models with Missing Observations
by: Zhang, Yongxia, et al.
Published: (2025)
by: Zhang, Yongxia, et al.
Published: (2025)
Imputation of Nonignorable Missing Data in Surveys Using Auxiliary Margins Via Hot Deck and Sequential Imputation
by: Yang, Yanjiao, et al.
Published: (2024)
by: Yang, Yanjiao, et al.
Published: (2024)
Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles
by: Feldman, Joseph, et al.
Published: (2024)
by: Feldman, Joseph, et al.
Published: (2024)
Constructing a T-test for Value Function Comparison of Individualized Treatment Regimes in the Presence of Multiple Imputation for Missing Data
by: Lu, Minxin, et al.
Published: (2023)
by: Lu, Minxin, et al.
Published: (2023)
Mean Independent Component Analysis for Multivariate Time Series
by: Lee, Chung Eun, et al.
Published: (2025)
by: Lee, Chung Eun, et al.
Published: (2025)
Tipping Point Sensitivity Analysis for Missing Data in Time-to-Event Endpoints: Model-Based and Ad hoc Approaches
by: Oodally, Ajmal, et al.
Published: (2025)
by: Oodally, Ajmal, et al.
Published: (2025)
Graphical Principal Component Analysis of Multivariate Functional Time Series
by: Tan, Jianbin, et al.
Published: (2024)
by: Tan, Jianbin, et al.
Published: (2024)
Sparse-Group Factor Analysis for High-Dimensional Time Series
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
A Note on Ising Network Analysis with Missing Data
by: Zhang, Siliang, et al.
Published: (2023)
by: Zhang, Siliang, et al.
Published: (2023)
Causal Inference with Missing Exposures and Missing Outcomes
by: Landsiedel, Kirsten E., et al.
Published: (2025)
by: Landsiedel, Kirsten E., et al.
Published: (2025)
Likelihood-Based Ergodicity Transformations in Time Series Analysis
by: Britto, Anthony
Published: (2026)
by: Britto, Anthony
Published: (2026)
Estimating Transition Rates in Two-State Non-Homogeneous Markov Jump Processes with Intermittent Observations: A Pseudo-Marginal McMC Approach via Honest Times
by: Gasbarra, Dario, et al.
Published: (2025)
by: Gasbarra, Dario, et al.
Published: (2025)
A Unified Principal Components Analysis for Stationary Functional Time Series
by: Guo, Zerui, et al.
Published: (2024)
by: Guo, Zerui, et al.
Published: (2024)
Causal Secondary Analysis of Linked Data in the Presence of Mismatch Error
by: Slawski, Martin
Published: (2025)
by: Slawski, Martin
Published: (2025)
Efficient Nonparametric Inference for Mediation Analysis with Nonignorable Missing Confounders
by: Shan, Jiawei, et al.
Published: (2024)
by: Shan, Jiawei, et al.
Published: (2024)
Semi-Supervised Mixture Models under the Concept of Missing at Radom with Margin Confidence and Aranda Ordaz Function
by: Liao, Jinyang, et al.
Published: (2026)
by: Liao, Jinyang, et al.
Published: (2026)
Fast Gibbs Sampling on Bayesian Hidden Markov Model with Missing Observations
by: Li, Dongrong, et al.
Published: (2026)
by: Li, Dongrong, et al.
Published: (2026)
Analysis of Linked Files: A Missing Data Perspective
by: Kamat, Gauri, et al.
Published: (2024)
by: Kamat, Gauri, et al.
Published: (2024)
Stationarity of Manifold Time Series
by: Zhu, Junhao, et al.
Published: (2024)
by: Zhu, Junhao, et al.
Published: (2024)
Topological Data Analysis for Multivariate Time Series Data
by: Bourakna, Anass El Yaagoubi, et al.
Published: (2022)
by: Bourakna, Anass El Yaagoubi, et al.
Published: (2022)
Nonparametric Bounds in Causal Mediation Analysis in the Presence of Unmeasured Confounding and Imperfect Compliance
by: Liang, Wei, et al.
Published: (2025)
by: Liang, Wei, et al.
Published: (2025)
Markov-Restricted Analysis of Randomized Trials with Non-Monotone Missing Binary Outcomes
by: Lee, Jaron J. R., et al.
Published: (2021)
by: Lee, Jaron J. R., et al.
Published: (2021)
Tail Risk Analysis for Financial Time Series
by: Kiriliouk, Anna, et al.
Published: (2024)
by: Kiriliouk, Anna, et al.
Published: (2024)
Marginal Interventional Effects
by: Zhou, Xiang, et al.
Published: (2022)
by: Zhou, Xiang, et al.
Published: (2022)
Time-In-Range Analyses of Functional Data Subject to Missing with Applications to Inpatient Continuous Glucose Monitoring
by: Yu, Qi, et al.
Published: (2024)
by: Yu, Qi, et al.
Published: (2024)
Similar Items
-
Mapping Multivariate Phenotypes in the Presence of Missing Observations for Family-Based Data
by: Sahu, Soumya, et al.
Published: (2025) -
Inverse Probability Weighting of Count Exposures in the Presence of Missing Data: A Simulation Study
by: Danka, Martin N., et al.
Published: (2026) -
Weighted Parameter Estimators of the Generalized Extreme Value Distribution in the Presence of Missing Observations
by: McVittie, James H., et al.
Published: (2025) -
Time Series Treatment Effects Analysis with Always-Missing Controls
by: Shu, Juan, et al.
Published: (2025) -
MMD Two-sample Testing in the Presence of Arbitrarily Missing Data
by: Zeng, Yijin, et al.
Published: (2024)