1 citations · 1 across the 3 of their papers we have counts for
3 papers
Nonlinear Probabilistic Forecast Reconciliation
Anubhab Biswas, Lorenzo Zambon, Lorenzo Nespoli +1
Forecast reconciliation adjusts independently generated forecasts across multiple time series so that they satisfy some known constraints. While probabilistic forecast reconciliati…
Nonlinear reconciliation: Error reduction theorems
Lorenzo Nespoli, Anubhab Biswas, Roberto Rocchetta +1
Forecast reconciliation, an ex-post technique applied to forecasts that must satisfy constraints, has been a prominent topic in the forecasting literature over the past two decades…
E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting
Madhurima Panja, Tanujit Chakraborty, Anubhab Biswas +1
Modeling and forecasting air quality is crucial for effective air pollution management and protecting public health. Air quality data, characterized by nonlinearity, nonstationarit…