E-TRIALS: Empowering Data-Driven Decisions to Enhance Computer-Based Learning Platforms
Fuente:
arXiv
Saved in:
| Main Authors: | Siedahmed, Abubakir, Pei, Yanping, Sales, Adam C, Heffernan, Neil T, Gagnon-Bartsch, Johann, Zhang, Di, Schuetze, Brendan A., Zengilowski, Allison |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Combining observational and experimental data for causal inference considering data privacy
by: Mann, Charlotte Z., et al.
Published: (2023)
by: Mann, Charlotte Z., et al.
Published: (2023)
A General Framework for Design-Based Treatment Effect Estimation in Paired Cluster-Randomized Experiments
by: Mann, Charlotte Z., et al.
Published: (2024)
by: Mann, Charlotte Z., et al.
Published: (2024)
Leveraging Large Language Models to Improve Precision in Randomized Controlled Trials
by: Lowe, Jaylin, et al.
Published: (2026)
by: Lowe, Jaylin, et al.
Published: (2026)
StanBKT: Rethinking Parameter Estimation in Bayesian Knowledge Tracing
by: Pradhan, Siddhartha, et al.
Published: (2026)
by: Pradhan, Siddhartha, et al.
Published: (2026)
GEEPERs: Principal Stratification using Principal Scores and Stacked Estimating Equations
by: Sales, Adam C., et al.
Published: (2022)
by: Sales, Adam C., et al.
Published: (2022)
Unified calibration and spatial mapping of fine particulate matter data from multiple low-cost air pollution sensor networks in Baltimore, Maryland
by: Heffernan, Claire, et al.
Published: (2024)
by: Heffernan, Claire, et al.
Published: (2024)
Balancing Accuracy and Costs in Cross-Temporal Hierarchies: Investigating Decision-Based and Validation-Based Reconciliation
by: Abolghasemi, Mahdi, et al.
Published: (2024)
by: Abolghasemi, Mahdi, et al.
Published: (2024)
A Bayesian Discrete Framework for Enhancing Decision-Making Processes in Clinical Trial Designs and Evaluations
by: Pramanik, Paramahansa, et al.
Published: (2026)
by: Pramanik, Paramahansa, et al.
Published: (2026)
Scalable Decisions using a Bayesian Decision-Theoretic Approach
by: Ng, Hoiyi, et al.
Published: (2026)
by: Ng, Hoiyi, et al.
Published: (2026)
A latent variable model for identifying and characterizing food adulteration
by: Casa, Alessandro, et al.
Published: (2025)
by: Casa, Alessandro, et al.
Published: (2025)
Partial membership models for soft clustering of multivariate football player performance data
by: Seri, Emiliano, et al.
Published: (2024)
by: Seri, Emiliano, et al.
Published: (2024)
NIRVAR: Network Informed Restricted Vector Autoregression
by: Martin, Brendan, et al.
Published: (2024)
by: Martin, Brendan, et al.
Published: (2024)
Identifying Brexit voting patterns in the British House of Commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects
by: Berrettini, Marco, et al.
Published: (2021)
by: Berrettini, Marco, et al.
Published: (2021)
A generative approach to frame-level multi-competitor races
by: Stokes, Tyrel, et al.
Published: (2023)
by: Stokes, Tyrel, et al.
Published: (2023)
Decision Making in Drug Development via Inference on Power
by: Johnson, Geoffrey S
Published: (2020)
by: Johnson, Geoffrey S
Published: (2020)
Group Identification and Variable Selection in Multivariable Mendelian Randomization with Highly-Correlated Exposures
by: Wu, Yinxiang, et al.
Published: (2025)
by: Wu, Yinxiang, et al.
Published: (2025)
Learning Fair Decisions with Factor Models: Applications to Annuity Pricing
by: Huang, Fei, et al.
Published: (2024)
by: Huang, Fei, et al.
Published: (2024)
Nonlinear Amplification of Finite-Sample Uncertainty in Capability-Based Decisions
by: Jiang, Fei, et al.
Published: (2026)
by: Jiang, Fei, et al.
Published: (2026)
Spatial Cross-Recurrence Quantification Analysis for Multi-Platform Contact Tracing and Epidemiology Research
by: Patten, K. J.
Published: (2024)
by: Patten, K. J.
Published: (2024)
Policy Robustness & Uncertainty in Model-based Decision Support for the Energy Transition
by: Burton, Ian J., et al.
Published: (2025)
by: Burton, Ian J., et al.
Published: (2025)
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)
Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting
by: Bao, Yihan, et al.
Published: (2023)
by: Bao, Yihan, et al.
Published: (2023)
SIMBA -- A Bayesian Decision Framework for the Identification of Optimal Biomarker Subgroups for Cancer Basket Clinical Trials
by: Yuan, Shijie, et al.
Published: (2025)
by: Yuan, Shijie, et al.
Published: (2025)
Evaluating the Surrogate Index as a Decision-Making Tool Using 200 A/B Tests at Netflix
by: Zhang, Vickie, et al.
Published: (2023)
by: Zhang, Vickie, et al.
Published: (2023)
Cross-Lingual Sponsored Search via Dual-Encoder and Graph Neural Networks for Context-Aware Query Translation in Advertising Platforms
by: Gao, Ziyang, et al.
Published: (2025)
by: Gao, Ziyang, et al.
Published: (2025)
BMW: Bayesian Model-Assisted Adaptive Phase II Clinical Trial Design for Win Ratio Statistic
by: Zhu, Di, et al.
Published: (2026)
by: Zhu, Di, et al.
Published: (2026)
Partially Directed Configuration Model with Homophily and Respondent-Driven Sampling
by: Sepulveda-Peñaloza, Alejandro, et al.
Published: (2025)
by: Sepulveda-Peñaloza, Alejandro, et al.
Published: (2025)
Modeling Extreme Events: Univariate and Multivariate Data-Driven Approaches
by: Buriticá, Gloria, et al.
Published: (2024)
by: Buriticá, Gloria, et al.
Published: (2024)
An Observation-Driven State-Space Model for Claims Size Modeling
by: Ahn, Jae Youn, et al.
Published: (2024)
by: Ahn, Jae Youn, et al.
Published: (2024)
Forecasting Italian daily electricity generation disaggregated by geographical zones and energy sources using coherent forecast combination
by: Girolimetto, Daniele, et al.
Published: (2025)
by: Girolimetto, Daniele, et al.
Published: (2025)
Energy load forecasting using Terna public data: a free lunch multi-task combination approach
by: Girolimetto, Daniele, et al.
Published: (2025)
by: Girolimetto, Daniele, et al.
Published: (2025)
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 Stability-Driven Framework for Long-Term Hourly Electricity Demand Forecasting
by: Dhar, Soumyadeep, et al.
Published: (2025)
by: Dhar, Soumyadeep, et al.
Published: (2025)
Fast Computer Model Calibration using Annealed and Transformed Variational Inference
by: Cho, Dongkyu Derek, et al.
Published: (2022)
by: Cho, Dongkyu Derek, et al.
Published: (2022)
Feature Selection in High-dimensional Spaces Using Graph-Based Methods
by: Ghosh, Swarnadip, et al.
Published: (2021)
by: Ghosh, Swarnadip, et al.
Published: (2021)
ggskewboxplots: Enhanced Boxplots for Skewed Data in R
by: Cavus, Mustafa
Published: (2025)
by: Cavus, Mustafa
Published: (2025)
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)
Modeling Zero-Inflated Correlated Dental Data through Gaussian Copulas and Approximate Bayesian Computation
by: Mukherjee, Anish, et al.
Published: (2024)
by: Mukherjee, Anish, et al.
Published: (2024)
A Computationally Efficient Approach to False Discovery Rate Control and Power Maximisation via Randomisation and Mirror Statistic
by: Molinari, Marco, et al.
Published: (2024)
by: Molinari, Marco, et al.
Published: (2024)
The Whittle likelihood for mixed models with application to groundwater level time series
by: Pypkowski, Jakub J., et al.
Published: (2025)
by: Pypkowski, Jakub J., et al.
Published: (2025)
Similar Items
-
Combining observational and experimental data for causal inference considering data privacy
by: Mann, Charlotte Z., et al.
Published: (2023) -
A General Framework for Design-Based Treatment Effect Estimation in Paired Cluster-Randomized Experiments
by: Mann, Charlotte Z., et al.
Published: (2024) -
Leveraging Large Language Models to Improve Precision in Randomized Controlled Trials
by: Lowe, Jaylin, et al.
Published: (2026) -
StanBKT: Rethinking Parameter Estimation in Bayesian Knowledge Tracing
by: Pradhan, Siddhartha, et al.
Published: (2026) -
GEEPERs: Principal Stratification using Principal Scores and Stacked Estimating Equations
by: Sales, Adam C., et al.
Published: (2022)