| Forecasting euro area inflation using a huge panel of survey expectations | Jul 25, 2022 | SurveyTime Series | —Unverified | 0 |
| Forecasting Exchange Rates Using Time Series Analysis: The sample of the currency of Kazakhstan | Aug 30, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Forecasting Ferry Passenger Flow Using Long-Short Term Memory Neural Networks | May 3, 2024 | Time Series | —Unverified | 0 |
| A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges | Oct 24, 2024 | DiversityMamba | —Unverified | 0 |
| Forecasting financial markets with semantic network analysis in the COVID-19 crisis | Sep 9, 2020 | PositionTime Series | —Unverified | 0 |
| Fold Bifurcation Identification through Scientific Machine Learning | Dec 21, 2023 | Time Series | —Unverified | 0 |
| Detection and Estimation of Structural Breaks in High-Dimensional Functional Time Series | Apr 14, 2023 | ClusteringTime Series | —Unverified | 0 |
| Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series | Nov 18, 2019 | ImputationMissing Values | —Unverified | 0 |
| Forecasting Framework for Open Access Time Series in Energy | Jun 2, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Forecasting from Clinical Textual Time Series: Adaptations of the Encoder and Decoder Language Model Families | Apr 14, 2025 | DecoderLanguage Modeling | —Unverified | 0 |
| Forecasting Granular Audience Size for Online Advertising | Jan 8, 2019 | AttributeTime Series | —Unverified | 0 |
| A new GARCH model with a deterministic time-varying intercept | Oct 4, 2024 | Time Series | —Unverified | 0 |
| Forecasting high-dimensional dynamics exploiting suboptimal embeddings | Jul 2, 2019 | Combinatorial OptimizationDiversity | —Unverified | 0 |
| Forecasting high-frequency financial time series: an adaptive learning approach with the order book data | Feb 27, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Forecasting inflation using disaggregates and machine learning | Aug 22, 2023 | Time Series | —Unverified | 0 |
| Forecasting in multivariate irregularly sampled time series with missing values | Apr 6, 2020 | General ClassificationIrregular Time Series | —Unverified | 0 |
| Detecting Structural Breaks in Foreign Exchange Markets by using the group LASSO technique | Feb 7, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Forecasting insect abundance using time series embedding and machine learning | Dec 22, 2023 | Time Series | —Unverified | 0 |
| Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood | Feb 26, 2025 | Gaussian ProcessesTime Series | —Unverified | 0 |
| Detecting Structural breakpoints in natural gas and electricity wholesale prices via Bayesian ensemble approach, in the era of energy prices turmoil of 2022 period: the cases of ten European markets | Sep 30, 2024 | Time Series | —Unverified | 0 |
| Forecasting large collections of time series: feature-based methods | Sep 25, 2023 | Model SelectionTime Series | —Unverified | 0 |
| Bayesian Realized-GARCH Models for Financial Tail Risk Forecasting Incorporating Two-sided Weibull Distribution | Jul 11, 2017 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model | Sep 27, 2024 | Bayesian InferenceTime Series | —Unverified | 0 |
| Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins! | Oct 19, 2021 | Data AugmentationDeep Learning | —Unverified | 0 |
| GAT-GAN : A Graph-Attention-based Time-Series Generative Adversarial Network | Jun 3, 2023 | Generative Adversarial NetworkGraph Attention | —Unverified | 0 |