Saved in:
| Main Authors: | Wu, Jiezhong, Kawai, Reiichiro |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.22688 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stopping Rules for Monte Carlo Methods of Martingale Difference Type
by: Wu, Jiezhong, et al.
Published: (2025)
by: Wu, Jiezhong, et al.
Published: (2025)
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
by: Rodemann, Julian, et al.
Published: (2025)
by: Rodemann, Julian, et al.
Published: (2025)
Monte Carlo and quasi-Monte Carlo integration for likelihood functions
by: Tang, Yanbo
Published: (2025)
by: Tang, Yanbo
Published: (2025)
Markov Chain Monte Carlo Significance Tests
by: Howes, Michael
Published: (2023)
by: Howes, Michael
Published: (2023)
Monte Carlo inference for semiparametric Bayesian regression
by: Kowal, Daniel R., et al.
Published: (2023)
by: Kowal, Daniel R., et al.
Published: (2023)
A piecewise deterministic Monte Carlo method for diffusion bridges
by: Bierkens, Joris, et al.
Published: (2020)
by: Bierkens, Joris, et al.
Published: (2020)
Multilevel Metamodels: Enhancing Inference, Interpretability, and Generalizability in Monte Carlo Simulation Studies
by: Gilbert, Joshua, et al.
Published: (2024)
by: Gilbert, Joshua, et al.
Published: (2024)
On the fundamental limitations of multiproposal Markov chain Monte Carlo algorithms
by: Pozza, Francesco, et al.
Published: (2024)
by: Pozza, Francesco, et al.
Published: (2024)
Sequential Scoring Rule Evaluation for Forecast Method Selection
by: Frazier, David T., et al.
Published: (2025)
by: Frazier, David T., et al.
Published: (2025)
A coupling-based approach to f-divergences diagnostics for Markov chain Monte Carlo
by: Corenflos, Adrien, et al.
Published: (2025)
by: Corenflos, Adrien, et al.
Published: (2025)
Optimal Treatment Rules under Missing Predictive Covariates: A Covariate-Balancing Doubly Robust Approach
by: Zhang, Yue, et al.
Published: (2025)
by: Zhang, Yue, et al.
Published: (2025)
Optimal Decision Rules Under Partial Identification
by: Yata, Kohei
Published: (2021)
by: Yata, Kohei
Published: (2021)
Adaptive Targeted Maximum Likelihood Estimation of the Mean Potential Outcome under a Treatment Rule
by: Xu, Yichen, et al.
Published: (2026)
by: Xu, Yichen, et al.
Published: (2026)
Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
A Hybrid Prior Bayesian Method for Combining Domestic Real-World Data and Overseas Data in Global Drug Development
by: Chen, Keer, et al.
Published: (2025)
by: Chen, Keer, et al.
Published: (2025)
Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation
by: Wang, Xiaohan, et al.
Published: (2025)
by: Wang, Xiaohan, et al.
Published: (2025)
Proper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation
by: Pic, Romain, et al.
Published: (2024)
by: Pic, Romain, et al.
Published: (2024)
SANVI: A Fast Spectral-Assisted Network Variational Inference Method with an Extended Surrogate Likelihood Function
by: Wu, Dingbo, et al.
Published: (2025)
by: Wu, Dingbo, et al.
Published: (2025)
Online Selective Conformal Prediction with Asymmetric Rules: A Permutation Test Approach
by: Zheng, Mingyi, et al.
Published: (2026)
by: Zheng, Mingyi, et al.
Published: (2026)
A Synthetic Instrumental Variable Method: Using the Dual Tendency Condition for Coplanar Instruments
by: Dzhumashev, Ratbek, et al.
Published: (2025)
by: Dzhumashev, Ratbek, et al.
Published: (2025)
Debiasing Welch's Method for Spectral Density Estimation
by: Astfalck, Lachlan C., et al.
Published: (2023)
by: Astfalck, Lachlan C., et al.
Published: (2023)
Extremes in High Dimensions: Methods and Scalable Algorithms
by: Lederer, Johannes, et al.
Published: (2023)
by: Lederer, Johannes, et al.
Published: (2023)
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
by: Li, Xuetong, et al.
Published: (2024)
by: Li, Xuetong, et al.
Published: (2024)
Learning Robust Treatment Rules for Censored Data
by: Cui, Yifan, et al.
Published: (2024)
by: Cui, Yifan, et al.
Published: (2024)
Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis
by: Cui, Chengyu, et al.
Published: (2023)
by: Cui, Chengyu, et al.
Published: (2023)
SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
by: Lamprinakou, Stamatina, et al.
Published: (2025)
by: Lamprinakou, Stamatina, et al.
Published: (2025)
Monte Carlo goodness-of-fit tests for degree corrected and related stochastic blockmodels
by: Karwa, Vishesh, et al.
Published: (2016)
by: Karwa, Vishesh, et al.
Published: (2016)
Consistent Bayesian Spatial Domain Partitioning Using Predictive Spanning Tree Methods
by: Huang, Kun, et al.
Published: (2025)
by: Huang, Kun, et al.
Published: (2025)
Nonlinear Binscatter Methods
by: Cattaneo, Matias D., et al.
Published: (2024)
by: Cattaneo, Matias D., et al.
Published: (2024)
Improving Causal Inference with Measurement Errors in Exposures and Confounders: A New Method and Its Application to Air Pollution Exposure Assessment and Epidemiology
by: Kim, Honghyok
Published: (2024)
by: Kim, Honghyok
Published: (2024)
Repro Samples Method for a Performance Guaranteed Inference in General and Irregular Inference Problems
by: Xie, Minge, et al.
Published: (2024)
by: Xie, Minge, et al.
Published: (2024)
Jackknife Empirical Likelihood Method for U Statistics Based on Multivariate Samples and its Applications
by: Garg, Naresh, et al.
Published: (2024)
by: Garg, Naresh, et al.
Published: (2024)
A portmanteau test for multivariate non-stationary functional time series with an increasing number of lags
by: Bai, Lujia, et al.
Published: (2024)
by: Bai, Lujia, et al.
Published: (2024)
A spectral inference method for determining the number of communities in networks
by: Wu, Yujia, et al.
Published: (2026)
by: Wu, Yujia, et al.
Published: (2026)
Optimal Adjustment and Combination of Independent Discrete $p$-Values
by: Contador, Gonzalo, et al.
Published: (2025)
by: Contador, Gonzalo, et al.
Published: (2025)
Variance Inference Beyond the Sandwich for Asymptotically Linear Estimators with Second-Order Remainders
by: Li, Lin, et al.
Published: (2026)
by: Li, Lin, et al.
Published: (2026)
Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in theory (and in practice)?
by: Shen, Yandi, et al.
Published: (2022)
by: Shen, Yandi, et al.
Published: (2022)
Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition
by: Montanari, Andrea, et al.
Published: (2024)
by: Montanari, Andrea, et al.
Published: (2024)
Large-scale Multiple Testing: Fundamental Limits of False Discovery Rate Control and Compound Oracle
by: Nie, Yutong, et al.
Published: (2023)
by: Nie, Yutong, et al.
Published: (2023)
Partial identification of principal causal effects under violations of principal ignorability
by: Wu, Minxuan, et al.
Published: (2024)
by: Wu, Minxuan, et al.
Published: (2024)
Similar Items
-
Stopping Rules for Monte Carlo Methods of Martingale Difference Type
by: Wu, Jiezhong, et al.
Published: (2025) -
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
by: Rodemann, Julian, et al.
Published: (2025) -
Monte Carlo and quasi-Monte Carlo integration for likelihood functions
by: Tang, Yanbo
Published: (2025) -
Markov Chain Monte Carlo Significance Tests
by: Howes, Michael
Published: (2023) -
Monte Carlo inference for semiparametric Bayesian regression
by: Kowal, Daniel R., et al.
Published: (2023)