Off-Policy Evaluation with Irregularly-Spaced, Outcome-Dependent Observation Times
Fuente:
arXiv
Guardado en:
| Autores principales: | Chen, Xin, Lu, Wenbin, Yang, Shu, Bandyopadhyay, Dipankar |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Joint modelling of time-to-event and longitudinal response using robust skew normal-independent distributions
por: Dutta, Srimanti, et al.
Publicado: (2024)
por: Dutta, Srimanti, et al.
Publicado: (2024)
Scalable Efficient Inference in Complex Surveys through Targeted Resampling of Weights
por: Das, Snigdha, et al.
Publicado: (2025)
por: Das, Snigdha, et al.
Publicado: (2025)
Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
por: Park, Sihyung, et al.
Publicado: (2025)
por: Park, Sihyung, et al.
Publicado: (2025)
Rank estimation for the accelerated failure time model with partially interval-censored data
por: Choi, Taehwa, et al.
Publicado: (2025)
por: Choi, Taehwa, et al.
Publicado: (2025)
Mediation Analysis for Sparse and Irregularly Spaced Longitudinal Outcomes with Application to the MrOS Sleep Study
por: Ren, Rui, et al.
Publicado: (2025)
por: Ren, Rui, et al.
Publicado: (2025)
Off-Policy Evaluation and Learning for Survival Outcomes under Censoring
por: Kubota, Kohsuke, et al.
Publicado: (2026)
por: Kubota, Kohsuke, et al.
Publicado: (2026)
Semi-Parametric Sensitivity Analysis for Trials with Irregular and Informative Assessment Times
por: Smith, Bonnie B., et al.
Publicado: (2022)
por: Smith, Bonnie B., et al.
Publicado: (2022)
A monotone single index model for spatially referenced multistate current status data
por: Das, Snigdha, et al.
Publicado: (2025)
por: Das, Snigdha, et al.
Publicado: (2025)
An Interpretable Single-Index Mixed-Effects Model for Non-Gaussian National Survey Data
por: Liu, Qingyang, et al.
Publicado: (2025)
por: Liu, Qingyang, et al.
Publicado: (2025)
Multivariate Zero-Inflated Causal Model for Regional Mobility Restriction Effects on Consumer Spending
por: Hong, Taekwon, et al.
Publicado: (2025)
por: Hong, Taekwon, et al.
Publicado: (2025)
Zero & $N$-inflated overdispersed binomial models for sum-constrained Poisson count processes
por: Sweeney, James, et al.
Publicado: (2014)
por: Sweeney, James, et al.
Publicado: (2014)
Individualized treatment regimens under correlated data with multiple outcomes
por: Dolmatov, Misha, et al.
Publicado: (2025)
por: Dolmatov, Misha, et al.
Publicado: (2025)
History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes
por: Wang, Yuyao, et al.
Publicado: (2026)
por: Wang, Yuyao, et al.
Publicado: (2026)
Distributional Off-Policy Evaluation with Deep Quantile Process Regression
por: Kuang, Qi, et al.
Publicado: (2026)
por: Kuang, Qi, et al.
Publicado: (2026)
A Subsequence Approach to Topological Data Analysis for Irregularly-Spaced Time Series
por: Dakurah, Sixtus, et al.
Publicado: (2024)
por: Dakurah, Sixtus, et al.
Publicado: (2024)
Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses
por: Sahoo, Indranil, et al.
Publicado: (2024)
por: Sahoo, Indranil, et al.
Publicado: (2024)
Asynchronous Distributed ECME Algorithm for Matrix Variate Non-Gaussian Responses
por: Liu, Qingyang, et al.
Publicado: (2025)
por: Liu, Qingyang, et al.
Publicado: (2025)
Testing Alpha in High-Dimensional Conditional Time-Varying Factor Models with Dependent Observations
por: Feng, Long, et al.
Publicado: (2026)
por: Feng, Long, et al.
Publicado: (2026)
A Robust Monotonic Single-Index Model for Skewed and Heavy-Tailed Data: A Deep Neural Network Approach Applied to Periodontal Studies
por: Liu, Qingyang, et al.
Publicado: (2025)
por: Liu, Qingyang, et al.
Publicado: (2025)
Self-Consistent Equation-guided Neural Networks for Censored Time-to-Event Data
por: Kim, Sehwan, et al.
Publicado: (2025)
por: Kim, Sehwan, et al.
Publicado: (2025)
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
por: Zhan, Ruohan, et al.
Publicado: (2021)
por: Zhan, Ruohan, et al.
Publicado: (2021)
Externally Valid Policy Evaluation Combining Trial and Observational Data
por: Ek, Sofia, et al.
Publicado: (2023)
por: Ek, Sofia, et al.
Publicado: (2023)
Space-Time Smoothing of Survey Outcomes using the R Package SUMMER
por: Li, Zehang Richard, et al.
Publicado: (2020)
por: Li, Zehang Richard, et al.
Publicado: (2020)
SensIAT: An R Package for Conducting Sensitivity Analysis of Randomized Trials with Irregular Assessment Times
por: Redd, Andrew, et al.
Publicado: (2025)
por: Redd, Andrew, et al.
Publicado: (2025)
Diagnostics for Regression Models with Semicontinuous Outcomes
por: Yang, Lu
Publicado: (2024)
por: Yang, Lu
Publicado: (2024)
Inference on Optimal Policy Values and Other Irregular Functionals via Softmax Smoothing
por: Whitehouse, Justin, et al.
Publicado: (2025)
por: Whitehouse, Justin, et al.
Publicado: (2025)
Statistical Design of Pragmatic Trials Using Electronic Health Record Data when Outcome Assessments are Uncontrolled and Irregular
por: Bobb, Jennifer F., et al.
Publicado: (2026)
por: Bobb, Jennifer F., et al.
Publicado: (2026)
Meta Off-Policy Estimation
por: Jeunen, Olivier
Publicado: (2025)
por: Jeunen, Olivier
Publicado: (2025)
Addressing the Influence of Unmeasured Confounding in Observational Studies with Time-to-Event Outcomes: A Semiparametric Sensitivity Analysis Approach
por: Amoafo, Linda, et al.
Publicado: (2024)
por: Amoafo, Linda, et al.
Publicado: (2024)
Modeling Interconnected Modules in Multivariate Outcomes: Evaluating the Impact of Alcohol Intake on Plasma Metabolomics
por: Yang, Yifan, et al.
Publicado: (2024)
por: Yang, Yifan, et al.
Publicado: (2024)
Linear Contextual Bandits with Interference
por: Xu, Yang, et al.
Publicado: (2024)
por: Xu, Yang, et al.
Publicado: (2024)
Ordinal Outcome State-Space Models for Intensive Longitudinal Data
por: Henry, Teague R., et al.
Publicado: (2023)
por: Henry, Teague R., et al.
Publicado: (2023)
A Causal Framework for Evaluating Jointly Longitudinal Outcomes and Surrogate Markers: A State-Space Approach
por: Santos Jr., Silvaneo V. dos, et al.
Publicado: (2026)
por: Santos Jr., Silvaneo V. dos, et al.
Publicado: (2026)
Spatial Causal Tensor Completion for Multiple Exposures and Outcomes: An Application to the Health Effects of PFAS Pollution
por: Zhou, Xiaodan, et al.
Publicado: (2026)
por: Zhou, Xiaodan, et al.
Publicado: (2026)
Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes
por: Yang, Lu
Publicado: (2023)
por: Yang, Lu
Publicado: (2023)
Counterfactual Generative Models for Time-Varying Treatments
por: Wu, Shenghao, et al.
Publicado: (2023)
por: Wu, Shenghao, et al.
Publicado: (2023)
$K$-Nearest-Neighbor Resampling for Off-Policy Evaluation in Stochastic Control
por: Giegrich, Michael, et al.
Publicado: (2023)
por: Giegrich, Michael, et al.
Publicado: (2023)
Assessing Bias and Precision in State Policy Evaluations: A Comparative Analysis of Time-Varying Estimators Using Policy Simulations
por: Griswold, Max, et al.
Publicado: (2025)
por: Griswold, Max, et al.
Publicado: (2025)
Structure Maintained Representation Learning Neural Network for Causal Inference
por: Sun, Yang, et al.
Publicado: (2025)
por: Sun, Yang, et al.
Publicado: (2025)
Sensitivity Analysis for Matched Observational Studies with Continuous Exposures and Binary Outcomes
por: Zhang, Jeffrey, et al.
Publicado: (2024)
por: Zhang, Jeffrey, et al.
Publicado: (2024)
Ejemplares similares
-
Joint modelling of time-to-event and longitudinal response using robust skew normal-independent distributions
por: Dutta, Srimanti, et al.
Publicado: (2024) -
Scalable Efficient Inference in Complex Surveys through Targeted Resampling of Weights
por: Das, Snigdha, et al.
Publicado: (2025) -
Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
por: Park, Sihyung, et al.
Publicado: (2025) -
Rank estimation for the accelerated failure time model with partially interval-censored data
por: Choi, Taehwa, et al.
Publicado: (2025) -
Mediation Analysis for Sparse and Irregularly Spaced Longitudinal Outcomes with Application to the MrOS Sleep Study
por: Ren, Rui, et al.
Publicado: (2025)