Robuta

https://ideas.repec.org/p/wuu/wpaper/hsc1409.html Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging Downloadable! We examine possible accuracy gains from using factor models, quantile regression and forecast averaging for computing interval forecasts of... probabilistic forecastingspot pricesquantile regressionelectricity https://arxiv.org/abs/2507.12276 [2507.12276] Probabilistic Forecasting of Climate Policy Uncertainty: The Role of Macro-financial... Abstract page for arXiv paper 2507.12276: Probabilistic Forecasting of Climate Policy Uncertainty: The Role of Macro-financial Variables and Google Search Data probabilistic forecastingclimate policy https://cassi-ai.com/ Probabilistic Forecasting for Better Decisions | Cassi AI Apr 23, 2026 - Cassi is a Superstrategy engine that forecasts 50% more accurately than humans, combining AI and collective intelligence to improve decisions. probabilistic forecastingbetter decisionscassiai https://openreview.net/forum?id=463RlISt9t Probabilistic Forecasting via Modern Hopfield Networks | OpenReview Hopfield networks, originally introduced as associative memory models, have shown promise in pattern recognition, optimization problems, and tabular datasets.... probabilistic forecastinghopfield networksviamodernopenreview https://www.amazon.science/tag/probabilistic-forecasting Probabilistic forecasting - Amazon Science probabilistic forecastingamazonscience https://arxiv.org/abs/physics/0410053 [physics/0410053] Probabilistic temperature forecasting: a comparison of four spread-regression... Abstract page for arXiv paper physics/0410053: Probabilistic temperature forecasting: a comparison of four spread-regression models temperature forecastingphysicsprobabilistic https://www.mdpi.com/2073-4441/14/22/3672 Multi-Step Ahead Probabilistic Forecasting of Daily Streamflow Using Bayesian Deep Learning: A... In recent decades, natural calamities such as drought and flood have caused widespread economic and social damage. Climate change and rapid urbanization... https://openreview.net/forum?id=7Q6BhUkRgv Cooperative Probabilistic Trajectory Forecasting Under Occlusion | OpenReview Perception and planning under occlusion is necessary for safety-critical tasks. Cooperative planning requires communicating the information of occluded object... cooperativeprobabilistictrajectoryforecastingocclusion https://www.econstor.eu/handle/10419/184986 EconStor: Distributional regression forests for probabilistic precipitation forecasting in complex... EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. econstordistributionalregressionforestsprobabilistic https://www.amazon.science/publications/probabilstic-hierarchical-forecasting-with-deep-poisson-mixtures Probabilistic hierarchical forecasting with deep poisson mixtures - Amazon Science Hierarchical forecasting problems arise when time series have a natural group structure, and predictions at multiple levels of aggregation and disaggregation... probabilistichierarchicalforecastingdeeppoisson https://arxiv.org/abs/2002.06103v3 [2002.06103v3] Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows Abstract page for arXiv paper 2002.06103v3: Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows time series forecasting2002multivariateprobabilistic https://openreview.net/forum?id=RTegkDKBPs_ RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting | OpenReview We employ a conditional variant of Whittle SPNs to provide uncertainty to time series predictions. time series forecastingprobabilisticcircuitstrustworthyopenreview https://huggingface.co/papers/2310.08278 Paper page - Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting Join the discussion on this paper page foundation models https://openreview.net/forum?id=AaPhnfFQYn Bi-Level One-Shot Architecture Search for Probabilistic Time Series Forecasting | OpenReview Time series forecasting is ubiquitous in many disciplines. A recent hybrid architecture named predictive Whittle networks (PWNs) tackles this task by employing... time series forecastingbi levelone shotarchitecture search https://openreview.net/forum?id=tW6wMJSyVDh Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures | OpenReview We introduce the Poisson Mixture Mesh likelihood for hierarchical forecasting applications probabilistichierarchicalforecastingdeeppoisson