The Sequential Nature of Science: Quantifying Learning from a Sequence of Studies
Fuente:
arXiv
Saved in:
| Main Authors: | Mikhaeil, Jonas M., Green, Donald P., Blei, David |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Quantifying How Much Has Been Learned from a Research Study
by: Mikhaeil, Jonas M., et al.
Published: (2025)
by: Mikhaeil, Jonas M., et al.
Published: (2025)
Sharp Bounds on the Variance of General Regression Adjustment in Randomized Experiments
by: Mikhaeil, Jonas M., et al.
Published: (2024)
by: Mikhaeil, Jonas M., et al.
Published: (2024)
The Illusion of Learning from Observational Data: An Empirical Bayes Perspective
by: Wu, Bohan, et al.
Published: (2026)
by: Wu, Bohan, et al.
Published: (2026)
Valid Inference when Testing Violations of Parallel Trends for Difference-in-Differences
by: Mikhaeil, Jonas M., et al.
Published: (2025)
by: Mikhaeil, Jonas M., et al.
Published: (2025)
Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes
by: Mikhaeil, Jonas, et al.
Published: (2024)
by: Mikhaeil, Jonas, et al.
Published: (2024)
Worst-case low-rank approximations
by: Fries, Anya, et al.
Published: (2026)
by: Fries, Anya, et al.
Published: (2026)
Optimization-based Causal Estimation from Heterogenous Environments
by: Yin, Mingzhang, et al.
Published: (2021)
by: Yin, Mingzhang, et al.
Published: (2021)
Hierarchical Causal Models
by: Weinstein, Eli N., et al.
Published: (2024)
by: Weinstein, Eli N., et al.
Published: (2024)
Bayesian Empirical Bayes: Simultaneous Inference from Probabilistic Symmetries
by: Wu, Bohan, et al.
Published: (2025)
by: Wu, Bohan, et al.
Published: (2025)
Neural Generalized Mixed-Effects Models
by: Slavutsky, Yuli, et al.
Published: (2026)
by: Slavutsky, Yuli, et al.
Published: (2026)
Estimating Wage Disparities Using Foundation Models
by: Vafa, Keyon, et al.
Published: (2024)
by: Vafa, Keyon, et al.
Published: (2024)
Multi-Domain Empirical Bayes for Linearly-Mixed Causal Representations
by: Wu, Bohan, et al.
Published: (2026)
by: Wu, Bohan, et al.
Published: (2026)
Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
by: Fu, Jiawei, et al.
Published: (2025)
by: Fu, Jiawei, et al.
Published: (2025)
Nonparametric Identification and Estimation of Causal Effects on Latent Outcomes
by: Fu, Jiawei, et al.
Published: (2026)
by: Fu, Jiawei, et al.
Published: (2026)
Sequential Scoring Rule Evaluation for Forecast Method Selection
by: Frazier, David T., et al.
Published: (2025)
by: Frazier, David T., et al.
Published: (2025)
Stable Differentiable Causal Discovery
by: Nazaret, Achille, et al.
Published: (2023)
by: Nazaret, Achille, et al.
Published: (2023)
Identifiable Deep Generative Models via Sparse Decoding
by: Moran, Gemma E., et al.
Published: (2021)
by: Moran, Gemma E., et al.
Published: (2021)
Adjusting for indirectly measured confounding using large-scale propensity scores
by: Zhang, Linying, et al.
Published: (2021)
by: Zhang, Linying, et al.
Published: (2021)
Quantifying Diagnostic Signal Decay in Dementia: A National Study of Medicare Hospitalization Data
by: Spoto, Federica, et al.
Published: (2025)
by: Spoto, Federica, et al.
Published: (2025)
Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes
by: Wu, Bohan, et al.
Published: (2024)
by: Wu, Bohan, et al.
Published: (2024)
Sequential Analysis: A Methodology for Monitoring Approval Plans.
by: McDonald, David R., et al.
Published: (1979)
by: McDonald, David R., et al.
Published: (1979)
Using Principal Progression Rate to Quantify and Compare Disease Progression in Comparative Studies
by: Shen, Changyu, et al.
Published: (2024)
by: Shen, Changyu, et al.
Published: (2024)
Treatment Effect Learning Under Sequential Randomization
by: Friedberg, Rina, et al.
Published: (2025)
by: Friedberg, Rina, et al.
Published: (2025)
Online Semiparametric Regression via Sequential Monte Carlo
by: Menictas, Marianne, et al.
Published: (2023)
by: Menictas, Marianne, et al.
Published: (2023)
Robust Bayesian Sequential Borrowing for Multi-Population Clinical Programmes
by: Hermansson, Erik, et al.
Published: (2026)
by: Hermansson, Erik, et al.
Published: (2026)
Modeling and Learning on High-Dimensional Matrix-Variate Sequences
by: Zhang, Xu, et al.
Published: (2022)
by: Zhang, Xu, et al.
Published: (2022)
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
by: Kelly, Ryan P., et al.
Published: (2023)
by: Kelly, Ryan P., et al.
Published: (2023)
Sequential Test for Practical Significance: Truncated Mixture Sequential Probability Ratio Test
by: Shim, Kyu Min
Published: (2025)
by: Shim, Kyu Min
Published: (2025)
Quantifying uncertainty in spikes estimated from calcium imaging data
by: Chen, Yiqun T., et al.
Published: (2021)
by: Chen, Yiqun T., et al.
Published: (2021)
To Study Properties of a Known Procedure in Adaptive Sequential Sampling Design
by: Kundu, Sampurna, et al.
Published: (2024)
by: Kundu, Sampurna, et al.
Published: (2024)
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation
by: McDonald, Shaun, et al.
Published: (2024)
by: McDonald, Shaun, et al.
Published: (2024)
Learning to Partially Defer for Sequences
by: Rayan, Sahana, et al.
Published: (2025)
by: Rayan, Sahana, et al.
Published: (2025)
Sequentially-Rerandomized Switchback Experiments
by: Zeng, Zhenghao, et al.
Published: (2026)
by: Zeng, Zhenghao, et al.
Published: (2026)
Sequential model confidence sets
by: Arnold, Sebastian, et al.
Published: (2024)
by: Arnold, Sebastian, et al.
Published: (2024)
Sequential stratified inference for the mean
by: Spertus, Jacob V., et al.
Published: (2024)
by: Spertus, Jacob V., et al.
Published: (2024)
Quantifying Individual Risk for Binary Outcomes
by: Wu, Peng, et al.
Published: (2024)
by: Wu, Peng, et al.
Published: (2024)
EFECT: A Method to Quantify the Reproducibility of Stochastic Simulations
by: Sego, T. J., et al.
Published: (2024)
by: Sego, T. J., et al.
Published: (2024)
A Sensitivity Analysis Framework for Quantifying Confidence in Decisions in the Presence of Data Uncertainty
by: Wadekar, Adway S., et al.
Published: (2025)
by: Wadekar, Adway S., et al.
Published: (2025)
Weighted Asymptotically Optimal Sequential Testing
by: Bose, Soumyabrata, et al.
Published: (2025)
by: Bose, Soumyabrata, et al.
Published: (2025)
Sequential Monte-Carlo testing by betting
by: Fischer, Lasse, et al.
Published: (2024)
by: Fischer, Lasse, et al.
Published: (2024)
Similar Items
-
Quantifying How Much Has Been Learned from a Research Study
by: Mikhaeil, Jonas M., et al.
Published: (2025) -
Sharp Bounds on the Variance of General Regression Adjustment in Randomized Experiments
by: Mikhaeil, Jonas M., et al.
Published: (2024) -
The Illusion of Learning from Observational Data: An Empirical Bayes Perspective
by: Wu, Bohan, et al.
Published: (2026) -
Valid Inference when Testing Violations of Parallel Trends for Difference-in-Differences
by: Mikhaeil, Jonas M., et al.
Published: (2025) -
Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes
by: Mikhaeil, Jonas, et al.
Published: (2024)