:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Weijian, Xu, Zhenyu, Liu, Jun, Chen, Hui, Liu, Yongxiang
Format:	Preprint
Published:	2026
Subjects:	Other Statistics
Online Access:	https://arxiv.org/abs/2605.07434
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive radar detection of subspace-based distributed target in power heterogeneous clutter
by: Xiao, Daipeng, et al.
Published: (2024)

Change Point Detection and Mean-Field Dynamics of Variable Productivity Hawkes Processes
by: Kresin, Conor, et al.
Published: (2025)

Taylor's Theorem and Mean Value Theorem for Random Functions and Random Variables
by: Yang, Yifan, et al.
Published: (2021)

Adaptive partition Factor Analysis
by: Bortolato, Elena, et al.
Published: (2024)

Score Matching Riemannian Diffusion Means
by: Rygaard, Frederik Möbius, et al.
Published: (2025)

Making Uncertainty Visible: Multiverse Analysis for Robust Computational Social Science
by: Linde, Maximilian, et al.
Published: (2026)

Toward Variation-Independent Regression by Composition
by: Zhao, Ruixuan, et al.
Published: (2026)

Adaptive tail index estimation: minimal assumptions and non-asymptotic guarantees
by: Lederer, Johannes, et al.
Published: (2025)

A Parameter-Centric View on Regression
by: Yan, Jingxin, et al.
Published: (2026)

Performances and Correlations of Centrality Measures in Complex Networks
by: Bi, Yilin, et al.
Published: (2025)

Identifying Research Hotspots and Future Development Trends in Current Psychology: A Bibliometric Analysis of the Past Decade's Publications
by: Liu, Shen, et al.
Published: (2024)

Robust estimations from distribution structures: I. Mean
by: Tuobang, Li
Published: (2024)

Ensemble Transport Filter via Optimized Maximum Mean Discrepancy
by: Zeng, Dengfei, et al.
Published: (2024)

An Investigation into Distance Measures in Cluster Analysis
by: Shapcott, Zoe
Published: (2024)

Hard negative sampling in hyperedge prediction
by: Deng, Zhenyu, et al.
Published: (2025)

BACTA-GPT: An AI-Based Bayesian Adaptive Clinical Trial Architect
by: Padmanabhan, Krishna, et al.
Published: (2025)

A Comparative Analysis of Multi-Criteria Decision-Making (MCDM) Methods
by: Hien, Nguyen Thi Thu, et al.
Published: (2025)

Towards Strong AI: Transformational Beliefs and Scientific Creativity
by: Eschker, Samuel J., et al.
Published: (2024)

A Bayesian Reinterpretation of Cornfield-Type Sensitivity Analysis: From Thresholds to Probabilities
by: Costa, Tommaso
Published: (2026)

Beyond Reproducible Research: Building a Formal Representation of a Data Analysis
by: Peng, Roger D.
Published: (2026)

Missing Data Imputation in the Context of Propensity Score Analysis: A Systematic Review
by: Garayemi, Saghar, et al.
Published: (2025)

Krylov Subspace Methods for Quantum Dynamics with Time-Dependent Generators
by: Takahashi, Kazutaka, et al.
Published: (2024)

Efficacy Analysis in Clinical Trials: A Comprehensive Review of Statistical and Machine Learning Approaches
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)

Win Probabilities, Hand Sizes, and Game Duration Analysis in the Bhikar-Sawkar Card Game
by: Durve, Mihir
Published: (2025)

The Impact of Question Framing on the Performance of Automatic Occupation Coding
by: Kononykhina, Olga, et al.
Published: (2025)

Bayesian hierarchical non-stationary hybrid modeling for threshold estimation in peak over threshold approach
by: Yue, Quansheng, et al.
Published: (2025)

The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers
by: Dogucu, Mine, et al.
Published: (2023)

Data Jamboree: A Party of Open-Source Software Solving Real-World Data Science Problems
by: McGowan, Lucy D'Agostino, et al.
Published: (2025)

Nonparametric Learning Non-Gaussian Quantum States of Continuous Variable Systems
by: Markovich, Liubov A., et al.
Published: (2025)

Online Fault Detection and Classification of Chemical Process Systems Leveraging Statistical Process Control and Riemannian Geometric Analysis
by: Miraliakbar, Alireza, et al.
Published: (2025)

Percentage Coefficient (bp) -- Effect Size Analysis (Theory Paper 1)
by: Zhao, Xinshu, et al.
Published: (2024)

Adaptive Conformal Prediction for Quantum Machine Learning
by: Spencer, Douglas, et al.
Published: (2025)

Early Prediction of Student Performance Using Bayesian Updating with Informative Priors Across Cohorts
by: Schwerter, Jakob, et al.
Published: (2026)

Towards a Unified Framework for Statistical and Mathematical Modeling
by: Zivich, Paul N
Published: (2025)

How causal perspectives can inform neuroscience data analysis
by: Bridgeford, Eric W., et al.
Published: (2025)

When to Transfer: Adaptive Source Selection for Positive Transfer in Linear Models
by: Cherkaoui, Hamza, et al.
Published: (2025)

Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification
by: Leiner, James, et al.
Published: (2025)

Ride-sharing Determinants: Spatial and Spatio-temporal Bayesian Analysis for Chicago Service in 2022
by: Elkhouly, Mohamed, et al.
Published: (2024)

The magnon mediated plasmon friction: a functional integral approach
by: Wang, Yang, et al.
Published: (2024)

Benchmarking AI Performance on End-to-End Data Science Projects
by: Hughes, Evelyn, et al.
Published: (2026)