Key papers

• Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends! (2022)
  Luis Gruber and Gregor Kastner
  5.06
• Interpreting Time Series Forecasts with LIME and SHAP: A Case Study on the Air Passengers Dataset (2025)
  Manish Shukla
  4.58
• Sampling for Region-Aggregated Spatial Scan Statistics (2026)
  Foad Namjoo et al.
  4.39
• An Adaptive Glicko-2 Rating Framework for Probabilistic Football Forecasting and Season Simulation (2026)
  Bich Van Nguyen et al.
  4.39
• Value-of-Information Analysis for External Validation of Risk Prediction Models in Multicenter Studies and Systematic Reviews (2026)
  Laure Wynants et al.
  4.39
• The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error (2026)
  Hugo Moreira
  4.39
• Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay (2025)
  Hussain Jagirdar et al.
  4.36
• Real-time Bus Travel Time Prediction and Reliability Quantification: A Hybrid Markov Model (2025)
  Yuran Sun et al.
  4.30
• Anticipating Continued Global Fertility Decline via Neural Forecasting (2026)
  Daniel Ciganda et al.
  4.27
• Measuring Time Series Forecast Stability for Demand Planning (2025)
  Steven Klee and Yuntian Xia
  3.92
• Advancing GDP Forecasting: The Potential of Machine Learning Techniques in Economic Predictions (2025)
  Bogdan Oancea
  3.59
• A Granular Framework for Construction Material Price Forecasting: Econometric and Machine-Learning Approaches (2025)
  Boge Lyu et al.
  3.21
• Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction (2025)
  Sina Aghaee Dabaghan Fard et al.
  2.87
• Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality (2025)
  Grzegorz Dudek
  2.76
• Dynamical errors in machine learning forecasts (2025)
  Zhou Fang et al.
  2.76
• Recovery-Informed Forecasting Strategy Enhancement (2026)
  Feng Li and Taozhu Ruan
  1.78
• Hierarchical Industrial Demand Forecasting with Temporal and Uncertainty Explanations (2026)
  Harshavardhan Kamarthi et al.
  1.78
• The impact of machine learning forecasting on strategic decision-making for Bike Sharing Systems (2026)
  Enrico Angelelli et al.
  1.78
• Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-Series Models (2026)
  Moazzam Umer Gondal et al.
  1.78
• Automated univariate time series forecasting with regression trees (2026)
  Francisco Mart\'inez and Mar\'ia P. Fr\'ias
  1.72
• EventCast: Hybrid Demand Forecasting in E-Commerce with LLM-Based Event Knowledge (2026)
  Congcong Hu et al.
  1.72
• Regularized Ensemble Forecasting for Learning Weights from Historical and Current Forecasts (2026)
  Han Su et al.
  1.72
• Robust optimal reconciliation for hierarchical time series forecasting with M-estimation (2026)
  Zhichao Wang et al.
  1.72
• An Information-Theoretic Diagnostic Analytics Framework for Mapping Past-Future Dependence in Horizon-Specific Forecastability (2026)
  Peter Maurice Catt
  1.67
• One Global Model, Many Behaviors: Stockout-Aware Feature Engineering and Dynamic Scaling for Multi-Horizon Retail Demand Forecasting with a Cost-Aware Ordering Policy (VN2 Winner Report) (2026)
  Bartosz Szab{\l}owski
  1.67
• Forecasting MBTA Transit Dynamics: A Performance Benchmarking of Statistical and Machine Learning Models (2025)
  Sai Siddharth Nalamalpu and Kaining Yuan and Aiden Zhou and Eugene Pinsky
  1.61
• Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data (2020)
  Zachary F. Fisher and Younghoon Kim and Barbara Fredrickson and Vladas Pipiras
  1.60
• Automobile demand forecasting: Spatiotemporal and hierarchical modeling, life cycle dynamics, and user-generated online information (2025)
  Tom Nahrendorf et al.
  1.56
• Actor-Enriched Time Series Forecasting of Process Performance (2025)
  Aurelie Leribaux et al.
  1.50
• Forecast reconciliation with non-linear constraints (2025)
  Daniele Girolimetto et al.
  1.50
• Select, then Balance: Exploring Exogenous Variable Modeling of Spatio-Temporal Forecasting (2025)
  Wei Chen et al.
  1.44
• Remaining Time Prediction in Outbound Warehouse Processes: A Case Study (Short Paper) (2025)
  Erik Penther et al.
  1.44
• Online Prediction with Limited Selectivity (2025)
  Licheng Liu and Mingda Qiao
  1.39
• OpenFPL: An open-source forecasting method rivaling state-of-the-art Fantasy Premier League services (2025)
  Daniel Groos
  1.39
• Robust Short-Term OEE Forecasting in Industry 4.0 via Topological Data Analysis (2025)
  Korkut Anapa et al.
  1.33
• MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model (2025)
  Xu Fan et al.
  1.33
• Time Series Forecastability Measures (2025)
  Rui Wang et al.
  1.33
• On the retraining frequency of global models in retail demand forecasting (2025)
  Marco Zanotti
  1.22
• Empirical Comparison of Lightweight Forecasting Models for Seasonal and Non-Seasonal Time Series (2025)
  Thanh Son Nguyen et al.
  1.22
• A Time-Scaled ETAS Model for Earthquake Forecasting (2025)
  Agniva Das and Muralidharan K
  1.22
• ModelRadar: Aspect-based Forecast Evaluation (2025)
  Vitor Cerqueira et al.
  1.17
• Hurdle Network Model With Latent Dynamic Shrinkage For Enhanced Edge Prediction in Zero-Inflated Directed Network Time Series (2025)
  Sandipan Pramanik et al.
  1.17
• Forecasting Empty Container availability for Vehicle Booking System Application (2025)
  Arthur Cartel Foahom Gouabou (AMU et al.
  1.11
• Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs (2025)
  Christian Kl\"otergens et al.
  1.06
• Predicting Bad Goods Risk Scores with ARIMA Time Series: A Novel Risk Assessment Approach (2025)
  Bishwajit Prasad Gond
  1.06
• The ecological forecast limit revisited: Potential, actual and relative system predictability (2024)
  Marieke Wesselkamp et al.
  1.00
• Reconstructing East Asian Temperatures from 1368 to 1911 Using Historical Documents, Climate Models, and Data Assimilation (2024)
  Eric Sun et al.
  0.89
• Optimal starting point for time series forecasting (2024)
  Yiming Zhong and Yinuo Ren and Guangyao Cao and Feng Li and Haobo Qi
  0.83
• Using dynamic loss weighting to boost improvements in forecast stability (2024)
  Daan Caljon et al.
  0.83
• Bayesian Projection of Extant Refugee and Asylum Seeker Populations (2024)
  Herbert Susmann et al.
  0.61
• Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective (2024)
  Zhijian Xu et al.
  0.61
• An Adaptive Learning Approach to Multivariate Time Forecasting in Industrial Processes (2024)
  Fernando Miguelez et al.
  0.50
• On Forecast Stability (2023)
  Rakshitha Godahewa et al.
  0.22
• Bayesian forecasting of electoral outcomes with new parties' competition (2016)
  Jos\'e Garc\'ia Montalvo and Omiros Papaspiliopoulos and Timoth\'ee Stumpf-F\'etizon
  0.00
• Dynamic Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances (2016)
  Leopoldo Catania and Anna Gloria Bill\'e
  —
• On short-term traffic flow forecasting and its reliability (2016)
  Hassane Aboua\"issa et al.
  —
• Forecasting time series with structural breaks with Singular Spectrum Analysis, using a general form of recurrent formula (2016)
  Donya Rahmani et al.
  —
• Mortality and life expectancy forecasting for a group of populations in developed countries: A multilevel functional data method (2016)
  Han Lin Shang
  —
• PSF : Introduction to R Package for Pattern Sequence Based Forecasting Algorithm (2016)
  Neeraj Bokde et al.
  —
• See the Near Future: A Short-Term Predictive Methodology to Traffic Load in ITS (2017)
  Xun Zhou et al.
  —