Cover Image

tBayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ibenegbu, Amuche, de Micheaux, Pierre Lafaye, Chandra, Rohitash
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction
by: Ibenegbu, Amuche, et al.
Published: (2025)

Adaptive Heavy-Tailed Stochastic Gradient Descent
by: Gong, Bodu, et al.
Published: (2025)

Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
by: Kulkarni, Omkar, et al.
Published: (2024)

Bayesian neural networks via MCMC: a Python-based tutorial
by: Chandra, Rohitash, et al.
Published: (2023)

A Survey and Comparative Evaluation of Intrinsic Dimension Estimators under the Manifold Hypothesis
by: Bi, Zelong, et al.
Published: (2025)

Manifold Dimension Estimation via Local Graph Structure
by: Bi, Zelong, et al.
Published: (2025)

QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification
by: Kapoor, Arpit, et al.
Published: (2025)

Compact Bayesian Neural Networks via pruned MCMC sampling
by: Deo, Ratneel, et al.
Published: (2025)

No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series
by: Agarwal, Rohit, et al.
Published: (2023)

Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies
by: Panat, Tanay, et al.
Published: (2025)

Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation
by: Su, Ye, et al.
Published: (2025)

Extreme value forecasting using relevance-based data augmentation with deep learning models
by: Hua, Junru, et al.
Published: (2025)

Spatiotemporal deep learning models for detection of rapid intensification in cyclones
by: Sutar, Vamshika, et al.
Published: (2025)

TSI-Bench: Benchmarking Time Series Imputation
by: Du, Wenjie, et al.
Published: (2024)

Glocal Information Bottleneck for Time Series Imputation
by: Yang, Jie, et al.
Published: (2025)

Deep Learning for Multivariate Time Series Imputation: A Survey
by: Wang, Jun, et al.
Published: (2024)

Laplacian Convolutional Representation for Traffic Time Series Imputation
by: Chen, Xinyu, et al.
Published: (2022)

BRATI: Bidirectional Recurrent Attention for Time-Series Imputation
by: Collado-Villaverde, Armando, et al.
Published: (2025)

DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
by: Kulkarni, Omkar, et al.
Published: (2025)

Recursive deep learning framework for forecasting the decadal world economic outlook
by: Wang, Tianyi, et al.
Published: (2023)

Remote sensing framework for geological mapping via stacked autoencoders and clustering
by: Nagar, Sandeep, et al.
Published: (2024)

Investigating a Model-Agnostic and Imputation-Free Approach for Irregularly-Sampled Multivariate Time-Series Modeling
by: Neog, Abhilash, et al.
Published: (2025)

Deep-testing: the case of dependence detection
by: Geenens, Gery, et al.
Published: (2026)

MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation
by: Zhou, Jianping, et al.
Published: (2024)

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation
by: Weatherhead, Addison, et al.
Published: (2025)

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data
by: Li, Mengxuan, et al.
Published: (2025)

Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations
by: Naour, Etienne Le, et al.
Published: (2023)

SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation
by: Eskandari, Amir, et al.
Published: (2024)

Time Series Imputation with Multivariate Radial Basis Function Neural Network
by: Jung, Chanyoung, et al.
Published: (2024)

FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
by: Li, Runze, et al.
Published: (2025)

Task-oriented Time Series Imputation Evaluation via Generalized Representers
by: Wang, Zhixian, et al.
Published: (2024)

TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data
by: Suh, Namjoon, et al.
Published: (2024)

Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation
by: Sartipi, Amir, et al.
Published: (2025)

Missing Data Multiple Imputation for Tabular Q-Learning in Online RL
by: Chasalow, Kyla, et al.
Published: (2025)

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
by: Leppich, Robert, et al.
Published: (2025)

STDiff: A State Transition Diffusion Framework for Time Series Imputation in Industrial Systems
by: Simethy, Gary, et al.
Published: (2025)

PAST: A Primary-Auxiliary Spatio-Temporal Network for Traffic Time Series Imputation
by: Hu, Hanwen, et al.
Published: (2025)

Modular Deep Learning for Multivariate Time-Series: Decoupling Imputation and Downstream Tasks
by: Raj, Joseph Arul, et al.
Published: (2024)

Collaborative Imputation of Urban Time Series through Cross-city Meta-learning
by: Nie, Tong, et al.
Published: (2025)

Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
by: Ragab, Mohamed, et al.
Published: (2024)