| 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 |
