Saved in:
| Main Authors: | Takada, Yuya, Izumi, Kiyoshi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.24153 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Using Linked Micromaps to Explore Complex Structures in Official Statistics
by: Powers, Randall, et al.
Published: (2026)
by: Powers, Randall, et al.
Published: (2026)
Assessing the Accuracy of Multisource Register-based Official Statistics for Multinomial Outcomes
by: Deliu, Nina, et al.
Published: (2025)
by: Deliu, Nina, et al.
Published: (2025)
Density Estimation from Aggregated Data with Integrated Auxiliary Information: Estimating Population Densities with Geospatial Data
by: Mühlbauer, Michael, et al.
Published: (2025)
by: Mühlbauer, Michael, et al.
Published: (2025)
Estimating the Number of Street Vendors in New York City: Ratio Estimation with Point Process Data
by: Auerbach, Jonathan
Published: (2024)
by: Auerbach, Jonathan
Published: (2024)
Estimating Continuous Treatment Effects in Panel Data using Machine Learning with a Climate Application
by: Klosin, Sylvia, et al.
Published: (2022)
by: Klosin, Sylvia, et al.
Published: (2022)
Streamlining business functions in official statistical production with Machine Learning
by: Barragán, Sandra, et al.
Published: (2025)
by: Barragán, Sandra, et al.
Published: (2025)
Lung Cancer Survival Prediction Using Machine Learning and Statistical Methods
by: Nair, Varun Vishwanathan, et al.
Published: (2025)
by: Nair, Varun Vishwanathan, et al.
Published: (2025)
Moving from Machine Learning to Statistics: the case of Expected Points in American football
by: Brill, Ryan S., et al.
Published: (2024)
by: Brill, Ryan S., et al.
Published: (2024)
Estimation of Building Energy Demand Characteristics using Bayesian Statistics and Energy Signature Models
by: Smertinas, Justinas, et al.
Published: (2025)
by: Smertinas, Justinas, et al.
Published: (2025)
Estimating and Correcting Degree Ratio Bias in the Network Scale-up Method
by: Laga, Ian, et al.
Published: (2023)
by: Laga, Ian, et al.
Published: (2023)
Trace Ratio Based Manifold Learning With Tensor Data
by: Mohammed Bouallala, et al.
Published: (2024)
by: Mohammed Bouallala, et al.
Published: (2024)
Comprehensive and Spatially Detailed Passenger Vehicle and Truck Traffic Volume Data for the United States Estimated by Machine Learning
by: Antonczak, Brittany, et al.
Published: (2025)
by: Antonczak, Brittany, et al.
Published: (2025)
Estimation and Inference of the Win Ratio for Two Hierarchical Endpoints Subject to Censoring and Missing Data
by: Liu, Yi, et al.
Published: (2026)
by: Liu, Yi, et al.
Published: (2026)
Inequality Constrained Minimum Density Power Divergence Estimation in Panel Count Data
by: Goswami, Udita, et al.
Published: (2025)
by: Goswami, Udita, et al.
Published: (2025)
Robust and Efficient Estimation in Ordinal Response Models using the Density Power Divergence
by: Pyne, Arijit, et al.
Published: (2022)
by: Pyne, Arijit, et al.
Published: (2022)
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks
by: Longjohn, Rachel, et al.
Published: (2025)
by: Longjohn, Rachel, et al.
Published: (2025)
Mapping Turbidity Spatial Distribution of Monobe River in Kochi, Japan, Using Satellite Images and Existing Turbidity Data
by: Naoyuki Hashimoto, et al.
Published: (2024)
by: Naoyuki Hashimoto, et al.
Published: (2024)
Robust Genomic Prediction and Heritability Estimation using Density Power Divergence
by: Chowdhury, Upama Paul, et al.
Published: (2024)
by: Chowdhury, Upama Paul, et al.
Published: (2024)
Statistical Learning of Trade Credit Insurance Network Data with Applications to Ratemaking and Reserving
by: Yoo, Woongchae, et al.
Published: (2025)
by: Yoo, Woongchae, 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)
Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding
by: Huang, Shimeng, et al.
Published: (2024)
by: Huang, Shimeng, et al.
Published: (2024)
Statistical Machine Learning for Astronomy -- A Textbook
by: Ting, Yuan-Sen
Published: (2025)
by: Ting, Yuan-Sen
Published: (2025)
Ensemble Machine Learning and Statistical Procedures for Dynamic Predictions of Time-to-Event Outcomes
by: van Gerwen, Nina, et al.
Published: (2026)
by: van Gerwen, Nina, et al.
Published: (2026)
Statistical Analysis of Quantitative Cancer Imaging Data
by: Mohammed, Shariq, et al.
Published: (2024)
by: Mohammed, Shariq, et al.
Published: (2024)
Quantifying Membership Disclosure Risk for Tabular Synthetic Data Using Kernel Density Estimators
by: Pathak, Rajdeep, et al.
Published: (2026)
by: Pathak, Rajdeep, et al.
Published: (2026)
Stochastic Nonparametric Estimation of the Density-Flow Curve
by: Kriuchkov, Iaroslav, et al.
Published: (2023)
by: Kriuchkov, Iaroslav, et al.
Published: (2023)
MealMeter: Using Multimodal Sensing and Machine Learning for Automatically Estimating Nutrition Intake
by: Arefeen, Asiful, et al.
Published: (2025)
by: Arefeen, Asiful, et al.
Published: (2025)
A Comprehensive Approach to Carbon Dioxide Emission Analysis in High Human Development Index Countries using Statistical and Machine Learning Techniques
by: Khosravi, Hamed, et al.
Published: (2024)
by: Khosravi, Hamed, et al.
Published: (2024)
Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation
by: Zarkadis, Iakovos-Christos, et al.
Published: (2026)
by: Zarkadis, Iakovos-Christos, et al.
Published: (2026)
MM Algorithms for Statistical Estimation in Quantile Regression
by: Cheng, Yifan, et al.
Published: (2024)
by: Cheng, Yifan, et al.
Published: (2024)
lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators
by: Cattaneo, Matias D., et al.
Published: (2022)
by: Cattaneo, Matias D., et al.
Published: (2022)
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
by: Jiang, Jialong, et al.
Published: (2025)
by: Jiang, Jialong, et al.
Published: (2025)
Bayesian Statistical Modeling in Action for Estimation and Forecasting in Low- and Middle-income Countries: The Case of the Family Planning Estimation Tool
by: Alkema, Leontine, et al.
Published: (2024)
by: Alkema, Leontine, et al.
Published: (2024)
Doubly Smoothed Density Estimation with Application on Miners' Unsafe Act Detection
by: Zeng, Qianhan, et al.
Published: (2025)
by: Zeng, Qianhan, et al.
Published: (2025)
Machine Learning-based Layer-wise Detection of Overheating Anomaly in LPBF using Photodiode Data
by: Hasan, Nazmul, et al.
Published: (2024)
by: Hasan, Nazmul, et al.
Published: (2024)
Estimation of finite population proportions for small areas -- a statistical data integration approach
by: Sen, Aditi, et al.
Published: (2023)
by: Sen, Aditi, et al.
Published: (2023)
Spatio-Temporal Differences in Bike Sharing Usage: A Tale of Six Cities
by: Kinoshita, Shu-ichi, et al.
Published: (2024)
by: Kinoshita, Shu-ichi, et al.
Published: (2024)
A Survival Framework for Estimating Child Mortality Rates using Multiple Data Types
by: Paulson, Katherine R, et al.
Published: (2026)
by: Paulson, Katherine R, et al.
Published: (2026)
Estimating Residential Displacement in the Central Puget Sound Region using Household Survey Data
by: Dharamshi, Ameer, et al.
Published: (2026)
by: Dharamshi, Ameer, et al.
Published: (2026)
Statistical Performance Guarantee for Subgroup Identification with Generic Machine Learning
by: Li, Michael Lingzhi, et al.
Published: (2023)
by: Li, Michael Lingzhi, et al.
Published: (2023)
Similar Items
-
Using Linked Micromaps to Explore Complex Structures in Official Statistics
by: Powers, Randall, et al.
Published: (2026) -
Assessing the Accuracy of Multisource Register-based Official Statistics for Multinomial Outcomes
by: Deliu, Nina, et al.
Published: (2025) -
Density Estimation from Aggregated Data with Integrated Auxiliary Information: Estimating Population Densities with Geospatial Data
by: Mühlbauer, Michael, et al.
Published: (2025) -
Estimating the Number of Street Vendors in New York City: Ratio Estimation with Point Process Data
by: Auerbach, Jonathan
Published: (2024) -
Estimating Continuous Treatment Effects in Panel Data using Machine Learning with a Climate Application
by: Klosin, Sylvia, et al.
Published: (2022)