Saved in:
| Main Author: | Usami, Satoshi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.28656 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Section Data
by: Rauh, Adam, et al.
Published: (2025)
by: Rauh, Adam, et al.
Published: (2025)
A Unified Framework for Multiple Exposure Distributed Lag Non-Linear Models for Air Pollution Epidemiology
by: Pan, Tianyi, et al.
Published: (2026)
by: Pan, Tianyi, et al.
Published: (2026)
Assessing Climate-Driven Mortality Risk: A Stochastic Approach with Distributed Lag Non-Linear Models
by: Min, Jiacheng, et al.
Published: (2025)
by: Min, Jiacheng, et al.
Published: (2025)
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)
by: Dempsey, Daniel, et al.
Published: (2024)
The Influence of Nuisance Parameter Uncertainty on Statistical Inference in Practical Data Science Models
by: Wan, Yunrong
Published: (2024)
by: Wan, Yunrong
Published: (2024)
Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments
by: Usami, Satoshi
Published: (2020)
by: Usami, Satoshi
Published: (2020)
Statistical Inference for Heterogeneous Treatment Effect with Right-censored Data from Synthesizing Randomized Clinical Trials and Real-world Data
by: Mao, Guangcai, et al.
Published: (2025)
by: Mao, Guangcai, et al.
Published: (2025)
Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Yao, Minhao, et al.
Published: (2025)
by: Yao, Minhao, et al.
Published: (2025)
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
by: Imai, Kosuke, et al.
Published: (2022)
by: Imai, Kosuke, et al.
Published: (2022)
DIF Statistical Inference without Knowing Anchoring Items
by: Chen, Yunxiao, et al.
Published: (2021)
by: Chen, Yunxiao, et al.
Published: (2021)
Semiparametric Piecewise Accelerated Failure Time Model for the Analysis of Immune-Oncology Clinical Trials
by: Sunami, Hisato, et al.
Published: (2024)
by: Sunami, Hisato, et al.
Published: (2024)
A Bayesian Proportional Mean Model Using Panel Binary Data-An Application to Health and Retirement Study
by: Hariharan, Pavithra, et al.
Published: (2025)
by: Hariharan, Pavithra, et al.
Published: (2025)
Semi-partitioned Generalized Method of Moments for Longitudinal Data with Lagged and Feedback Covariates
by: Ramezani, Niloofar, et al.
Published: (2026)
by: Ramezani, Niloofar, et al.
Published: (2026)
Quasi-Maximum Likelihood Estimation for a Genuinely Unbalanced Dynamic Network Panel Data Model
by: Wang, Zhijian, et al.
Published: (2025)
by: Wang, Zhijian, et al.
Published: (2025)
Causal Inference with Outcomes Truncated by Death and Missing Not at Random
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
AgroDesign: A Design-Aware Statistical Inference Framework for Agricultural Experiments in Python
by: Gul, Aqib
Published: (2026)
by: Gul, Aqib
Published: (2026)
Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
by: Lin, Ziqian, et al.
Published: (2024)
by: Lin, Ziqian, et al.
Published: (2024)
An Exponential-Polynomial Divergence-based Robust Information Criterion for Linear Panel Data Models and Neural Networks
by: Goswami, Udita, et al.
Published: (2026)
by: Goswami, Udita, et al.
Published: (2026)
A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)
by: Florez, Mauro, et al.
Published: (2025)
Bayesian Cointegrated Panels in Digital Marketing
by: Carranza-Sánchez, Juan David, et al.
Published: (2024)
by: Carranza-Sánchez, Juan David, et al.
Published: (2024)
Randomization Tests for Distributions of Individual Treatment Effects via Combined Rank Statistics
by: Kim, David, et al.
Published: (2026)
by: Kim, David, et al.
Published: (2026)
Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets
by: Jonker, Marianne A., et al.
Published: (2023)
by: Jonker, Marianne A., et al.
Published: (2023)
Beyond Point Estimates: Toward Proper Statistical Inferencing and Reporting of Intraclass Correlation Coefficients
by: Liu, Yufeng, et al.
Published: (2026)
by: Liu, Yufeng, et al.
Published: (2026)
Causal Inference Using Augmented Epidemic Models
by: Bong, Heejong, et al.
Published: (2024)
by: Bong, Heejong, et al.
Published: (2024)
lmw: Linear Model Weights for Causal Inference
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
Markov-switching State Space Models for Uncovering Musical Interpretation
by: McDonald, Daniel J., et al.
Published: (2019)
by: McDonald, Daniel J., et al.
Published: (2019)
A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data
by: Guo, Xingche, et al.
Published: (2023)
by: Guo, Xingche, et al.
Published: (2023)
Variational Inference for Fully Bayesian Hierarchical Linear Models
by: Parra-Aldana, Cristian, et al.
Published: (2025)
by: Parra-Aldana, Cristian, et al.
Published: (2025)
Frequentist Inference for Semi-mechanistic Epidemic Models with Interventions
by: Bong, Heejong, et al.
Published: (2023)
by: Bong, Heejong, et al.
Published: (2023)
Random Effect Restricted Mean Survival Time Model
by: Hanada, Keisuke, et al.
Published: (2024)
by: Hanada, Keisuke, et al.
Published: (2024)
Bayesian Nonparametric Models for Multiple Raters: a General Statistical Framework
by: Mignemi, Giuseppe, et al.
Published: (2024)
by: Mignemi, Giuseppe, et al.
Published: (2024)
Inference for Heterogeneous Graphical Models using Doubly High-Dimensional Linear-Mixed Models
by: Yue, Kun, et al.
Published: (2024)
by: Yue, Kun, et al.
Published: (2024)
Bayesian Modeling for Aggregated Relational Data: A Unified Perspective
by: Ward, Owen G., et al.
Published: (2025)
by: Ward, Owen G., et al.
Published: (2025)
The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models
by: Krause, Joshua, et al.
Published: (2025)
by: Krause, Joshua, et al.
Published: (2025)
Prediction Inference Using Generalized Functional Mixed Effects Models
by: Zhou, Xinkai, et al.
Published: (2025)
by: Zhou, Xinkai, et al.
Published: (2025)
Bayesian Hierarchical Modeling and Inference for Mechanistic Systems in Industrial Hygiene
by: Pan, Soumyakanti, et al.
Published: (2023)
by: Pan, Soumyakanti, et al.
Published: (2023)
Modeling Event Dynamics by Self-Exciting Processes with Random Memory
by: Peng, K. Ken, et al.
Published: (2026)
by: Peng, K. Ken, et al.
Published: (2026)
Bayesian Spatial Point Process Modeling for Cluster Randomized Trials
by: Lee, Jooyeon, et al.
Published: (2025)
by: Lee, Jooyeon, et al.
Published: (2025)
Attractor-Based Coevolving Dot Product Random Graph Model
by: Yang, Shiwen, et al.
Published: (2025)
by: Yang, Shiwen, et al.
Published: (2025)
Manipulating a Continuous Instrumental Variable in an Observational Study of Premature Babies: Algorithm, Partial Identification Bounds, and Inference under Randomization and Biased Randomization Assumptions
by: Chen, Zhe, et al.
Published: (2024)
by: Chen, Zhe, et al.
Published: (2024)
Similar Items
-
PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Section Data
by: Rauh, Adam, et al.
Published: (2025) -
A Unified Framework for Multiple Exposure Distributed Lag Non-Linear Models for Air Pollution Epidemiology
by: Pan, Tianyi, et al.
Published: (2026) -
Assessing Climate-Driven Mortality Risk: A Stochastic Approach with Distributed Lag Non-Linear Models
by: Min, Jiacheng, et al.
Published: (2025) -
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024) -
The Influence of Nuisance Parameter Uncertainty on Statistical Inference in Practical Data Science Models
by: Wan, Yunrong
Published: (2024)