Cover Image

Dynamic Lagging for Time-Series Forecasting in E-Commerce Finance: Mitigating Information Loss with A Hybrid ML Architecture

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sharma, Abhishek, Parush, Anat, Wadhwa, Sumit, Savir, Amihai, Guinard, Anne, Srivastava, Prateek
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
by: Rasul, Kashif, et al.
Published: (2023)

MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection
by: Gera, Parush, et al.
Published: (2025)

TLCCSP: A Scalable Framework for Enhancing Time Series Forecasting with Time-Lagged Cross-Correlations
by: Wu, Jianfei, et al.
Published: (2025)

Prompt Readiness Levels (PRL): a maturity scale and scoring framework for production grade prompt assets
by: Guinard, Sebastien
Published: (2026)

VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting
by: Yang, Yingnan, et al.
Published: (2024)

Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study
by: Leites, José, et al.
Published: (2024)

Probabilistic Delay Forecasting in 5G Using Recurrent and Attention-Based Architectures
by: Mostafavi, Samie, et al.
Published: (2025)

Retrieval Mechanisms Surpass Long-Context Scaling in Time Series Forecasting
by: Ahuja, Rishi, et al.
Published: (2026)

Distributed Lag Transformer based on Time-Variable-Aware Learning for Explainable Multivariate Time Series Forecasting
by: Kim, Younghwi, et al.
Published: (2024)

Pregnancy and childbirth in patients with Glanzmann Thrombasthenia
by: Amihai Rottenstreich, et al.
Published: (2024)

Application and Efficacy of diatom diversity indices for water quality evaluation of Chambal River System
by: Srivastava, Prateek
Published: (2025)

Hybrid Variance-Alignment Scoring for Cross-Dimensional Resource Balance in Kubernetes Clusters
by: Srivastava, Abhishek
Published: (2026)

Bayesian Estimation of Time Series Lags and Structure
by: Scargle, Jeffrey D.
Published: (2001)

CP Loss: Channel-wise Perceptual Loss for Time Series Forecasting
by: Zha, Yaohua, et al.
Published: (2026)

La 'regulación económica' como instrumento de dirección estatal de la economía
by: David Guinard-Hernández
Published: (2017)

MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting
by: Wu, Binqing, et al.
Published: (2025)

Patch-wise Structural Loss for Time Series Forecasting
by: Kudrat, Dilfira, et al.
Published: (2025)

RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting
by: Wang, Jieting, et al.
Published: (2025)

LeForecast: Enterprise Hybrid Forecast by Time Series Intelligence
by: Tan, Zheng, et al.
Published: (2025)

Domain-Adaptive Small Language Models for Structured Tax Code Prediction
by: Nath, Souvik, et al.
Published: (2025)

Learning Affine-Equivariant Proximal Operators
by: Savir, Oriel, et al.
Published: (2026)

OLMA: One Loss for More Accurate Time Series Forecasting
by: Shi, Tianyi, et al.
Published: (2025)

Loss Shaping Constraints for Long-Term Time Series Forecasting
by: Hounie, Ignacio, et al.
Published: (2024)

DBLoss: Decomposition-based Loss Function for Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2025)

A Novel Hybrid Approach for Time Series Forecasting: Period Estimation and Climate Data Analysis Using Unsupervised Learning and Spline Interpolation
by: Kayal, Tanmay, et al.
Published: (2025)

Real-Time Performance Benchmarking of TinyML Models in Embedded Systems (PICO: Performance of Inference, CPU, and Operations)
by: Dey, Abhishek, et al.
Published: (2025)

A Hybrid Loss Framework for Decomposition-based Time Series Forecasting Methods: Balancing Global and Component Errors
by: Han, Ronghui, et al.
Published: (2024)

HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
by: Wang, Tan, et al.
Published: (2025)

Journal of the Society for Information Display
by: Abhishek Kumar Srivastava
Published: (2025)

Journal of the Society for Information Display
by: Abhishek Kumar Srivastava
Published: (2024)

Journal of the Society for Information Display
by: Abhishek Kumar Srivastava
Published: (2026)

Journal of the Society for Information Display
by: Abhishek Kumar Srivastava
Published: (2024)

Journal of the Society for Information Display
by: Abhishek Kumar Srivastava
Published: (2025)

Journal of the Society for Information Display
by: Abhishek Kumar Srivastava
Published: (2024)

Journal of the Society for Information Display
by: Abhishek Kumar Srivastava
Published: (2024)

Diversidad y abundancia de macroinvertebrados acuáticos y calidad del agua de las cuencas alta y baja del río Gariché, provincia de Chiriquí, Panamá
by: Johana Del C. Guinard
Published: (2013)

Discovering Entity-Conditioned Lag Heterogeneity: A Lag-Gated Neural Audit Framework for Panel Time Series
by: Xu, Andi
Published: (2026)

Quantum Neural Network Architectures for Multivariate Time-Series Forecasting
by: Ranilla-Cortina, Sandra, et al.
Published: (2025)

Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift
by: Zhao, Zhiyuan, et al.
Published: (2025)

Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
by: Hallak, Khaled, et al.
Published: (2025)