On the use of cross-validation for time series predictor evaluation
2012/01/05 by Christoph Bergmeir, José M. Benítez · 45 citations
Decision Sciences · Computer Science · #Forecasting Techniques and Applications #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
paper · doi:10.1016/j.ins.2011.12.028
Citations
Cited by
- Global models for time series forecasting: A Simulation study
- When Does Machine Learning Beat Value Sorting? A Three-Dataset Diagnostic of Exposure-Weighted Shipment Prioritization
- What makes a forest growth model climate-sensitive? An examination of statistical and silvicultural model needs under climate change
- Right-sizing Recommendations (RSR): Cloud Workload Conformal Prediction for Virtual Machines in Data Center Operations
- Hybrid Context-Fusion Attention (CFA) U-Net and Clustering for Robust Seismic Horizon Interpretation
- Causal Feature Selection for Weather-Driven Residential Load Forecasting
- Assessing win strength in MLB win prediction models
- Process Model Forecasting Using Time Series Analysis of Event Sequence\n Data
- Structured Estimation of Heterogeneous Time Series
- Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior\n of Consumers to Increase Reverse Vending Machine Uptime
- Benchmarking ResNet for Short-Term Hypoglycemia Classification with DiaData
- LLM-Enhanced, Data-Driven Personalized and Equitable Clinician Scheduling: A Predict-then-Optimize Approach
- Machine Learning Algorithms for Financial Asset Price Forecasting
- Dynamical Systems Models for Market Evolution: A Mechanistic Alternative to Autoregressive Methods
- Forking-Sequences
- Model Selection for Time Series Forecasting: Empirical Analysis of\n Different Estimators
- Trading Signals In VIX Futures
- DCV-ROOD Evaluation Framework: Dual Cross-Validation for Robust Out-of-Distribution Detection
- Smart energy management as a means towards improved energy efficiency
- Event Detection on Dynamic Graphs
- The importance of climatic factors and outliers in predicting regional monthly campylobacteriosis risk in Georgia, USA. [europepmc]
- Multilingual Twitter Sentiment Classification: The Role of Human Annotators. [europepmc]
- A Novel, Unbiased Analysis Approach for Investigating Population Dynamics: A Case Study on Calanus finmarchicus and Its Decline in the North Sea. [europepmc]
- After the epidemic: Zika virus projections for Latin America and the Caribbean. [europepmc]
- A new look at weather-related health impacts through functional regression. [europepmc]
- Predictive Crime Mapping: Arbitrary Grids or Street Networks? [europepmc]
- Harnessing the Power of Quality Assurance Data: Can We Use Statistical Modeling for Quality Risk Assessment of Clinical Trials? [europepmc]
- An ensemble mixed effects model of sleep loss and performance. [europepmc]
- Statistical Features in High-Frequency Bands of Interictal iEEG Work Efficiently in Identifying the Seizure Onset Zone in Patients with Focal Epilepsy. [europepmc]
- Machine Learning Based Computational Gene Selection Models: A Survey, Performance Evaluation, Open Issues, and Future Research Directions. [europepmc]
- A modular approach to integrating multiple data sources into real-time clinical prediction for pediatric diarrhea. [europepmc]
- A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction. [europepmc]
- Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study. [europepmc]
- Prediction of clinical trial enrollment rates. [europepmc]
- Predicting Glycaemia in Type 1 Diabetes Patients: Experiments in Feature Engineering and Data Imputation. [europepmc]
- A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning. [europepmc]
- Deep learning in the stock market-a systematic survey of practice, backtesting, and applications. [europepmc]
- Supervised learning techniques for dairy cattle body weight prediction from 3D digital images. [europepmc]
- Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration. [europepmc]
- Predicting Problematic Behavior in Autism Spectrum Disorder Using Medical History and Environmental Data. [europepmc]
- Shifts in ophthalmic care utilization during the COVID-19 pandemic in the US. [europepmc]
- Proposal of a Machine Learning Approach for Traffic Flow Prediction. [europepmc]
- COVID-19 Vaccination and Incidence of Pediatric SARS-CoV-2 Infection and Hospitalization. [europepmc]
- A template and tutorial for preregistering studies using passive smartphone measures. [europepmc]
- Recent and Forecasted Increases in Coccidioidomycosis Incidence Linked to Hydroclimatic Swings, California, USA. [europepmc]