Search Results - "MISSING data (Statistics)"

Change-Point Detection in Dynamic Networks with Missing Links.

Authors: Enikeeva, Farida Klopp, Olga

Source: Operations Research. Sep/Oct2025, Vol. 73 Issue 5, p2417-2429. 13p.

Nonresponse Imputations and Related Measurement Issues in the CPI for Shelter.

Authors: Loewenstein, Lara Montag, Hugh Verbrugge, Randal

Source: Working Paper Series (Federal Reserve Bank of Cleveland). 5/28/2026, Issue 26-13, p1-42. 42p.

Bridging classical, fuzzy, and approaches for missing data imputation: A unified comparative analysis.

Authors: Bridge-Nduwimana, Charlène Béatrice Ettahairy, Mohamed El Ouaazizi, Aziza et al.

Source: EPJ Web of Conferences. 6/24/2026, Vol. 374, p1-9. 9p.

Robust SOH Estimation for Batteries via Deep Learning Under Incomplete Measurements.

Authors: Teng, Jenhao Lin, Kuanyu Lee, Pingtse

Source: Energies (19961073). May2026, Vol. 19 Issue 9, p2100. 20p.

Subject Terms: *Long short-term memory, *Missing data (Statistics), *Interpolation algorithms, *Transformer models, *Deep learning, *Energy storage

AI Techniques for Survey Data Quality: Transformers and GANs.

Authors: Cafieri, Simona Borrata, Gianmarco

Source: Journal of Social & Economic Statistics. Jun2026, Vol. 15 Issue 1, p57-68. 12p.

msBayesImpute as a versatile framework for addressing missing values in biomedical mass spectrometry proteomics data.

Authors: He, Jiaojiao Helm, Barbara Gödtel, Franziska et al.

Source: Communications Chemistry. Dec20267/7/2026, Vol. 9 Issue 1, p1-17. 17p.

Enhancing data completeness in time series: Imputation strategies for missing data using significant periodically correlated components.

Authors: Ahmad, Asmaa Rose, Eric J. Roy, Michael S. et al.

Source: PLoS ONE. 7/6/2026, Vol. 21 Issue 7, p1-14. 14p.

Study on the prediction performance of ship motion in waves by LSTM under missing data.

Authors: Gong, Jiaye Ni, Pengsheng Fu, Zheng et al.

Source: Brodogradnja. 2026, Vol. 77 Issue 3, p1-31. 31p.

Handling missing data, skewness, and outliers in medical research: A robust factor analysis approach using the canonical fundamental skew- t distribution.

Authors: Wang, Wan-Lun Castro, Luis M Lin, Tsung-I

Source: Statistical Methods in Medical Research. Jul2026, Vol. 35 Issue 7, p1408-1427. 20p.

Decomposition–Migration Cooperative Modeling Approach for Forecasting Runoff in Data-Scarce Watershed Areas.

Authors: Yang, Yiyang Sun, Xiangyu Cai, Siyu et al.

Source: Water (20734441). Jun2026, Vol. 18 Issue 12, p1385. 22p.

MCMC-Based Bayesian Estimation for Nonlinear Mixed-Effects Models with Missing Data: A Study of Convergence and Computational Efficiency.

Authors: Alnaji, Lulah¹ (AUTHOR)

Source: Mathematics (2227-7390). Jun2026, Vol. 14 Issue 12, p2118. 21p.

Statistical Learning of Conditional Single-Index U-Processes Under Local Stationarity and Missing-At-Random Functional Responses.

Authors: Bouzebda, Salim¹ (AUTHOR)

Source: Mathematics (2227-7390). Jun2026, Vol. 14 Issue 12, p2112. 143p.

Advanced Statistical Learning: Limit Theorems for Nonparametric Conditional U -Statistics Smoothed by Asymmetric Kernels Under Missing-at-Random Sampling.

Authors: Bouzebda, Salim¹ (AUTHOR)

Source: Mathematics (2227-7390). Jun2026, Vol. 14 Issue 12, p2110. 168p.

Improving imputation of missing PM2.5 speciation data using PMF-informed source-receptor relationships.

Authors: Zhu, Wubin Xie, Mingjie Dai, Qili et al.

Source: Atmospheric Measurement Techniques. 2026, Vol. 19 Issue 12, p4219-4231. 13p.

Bridging Machine Learning and Clinical Endpoints: A METABRIC-Informed Simulation Study of Missing Data Imputation for RECIST-Based Best Overall Response.

Authors: Tan, Fangya Long, Bowen

Source: Diagnostics (2075-4418). Jun2026, Vol. 16 Issue 12, p1853. 23p.

基于改进区间属性识别理论与缺失值补偿的 隧道突水风险评估方法.

Alternate Title: Tunnel Water Inrush Risk Assessment Method Based on Improved Interval Attribute Recognition Theory and Missing Value Compensation.

Authors: 李利平 陆林结 成帅 et al.

Source: Science Technology & Engineering. 2026, Vol. 26 Issue 17, p7448-7460. 13p.

Large Language Models for Depression Detection: A Review with Prospects of Incomplete Multimodality.

Authors: Dai, Anqi Shi, Weipeng Gu, Xiaogang et al.

Source: Brain Sciences (2076-3425). Jun2026, Vol. 16 Issue 6, p593. 27p.

The Hunger Measurement Paradox: Data Gaps, Fragility, and Monitoring Blind Spots in Global Hunger Assessment.

Authors: Reuveni, Saada¹ saadare@gmail.com

Source: Technium Social Sciences Journal. Jun2026, Vol. 84, p93-115. 23p.

PALI: PARALLEL ALIGNED LOGITS INTEGRATION FOR ROBUST MULTIMODAL SENTIMENT ANALYSIS UNDER REAL-WORLD MISSING MODALITY SCENARIOS.

Authors: Ndaruza, Prince Mazambani, Gideon Masamha, Tavengwa et al.

Source: Information Technologist. Jun2026, Vol. 23 Issue 1, p92-110. 19p.

基于张量 CP 分解的不完整数据自适应图特征选择.

Alternate Title: Adaptive Graph Feature Selection Based on Tensor CP Decomposition for Incomplete Data.

Authors: 刘家徐 宋 燕 窦 军 et al.

Source: Electronic Science & Technology. 2026, Vol. 39 Issue 6, p1-11. 11p.