Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
midasml package is dedicated to run predictive high-dimensional mixed data sampling models
Python implementation of the midasml approach
Automated DFM Nowcasting Model and Platform for South Africa (Active Repo at coderaanalytics-models/SA-Nowcast)
Package for nowcasting the number of cases of an infectious disease when test results are lagged
A ConvLSTM3D model for nowcasting of precipitation using C-Band DWR TERLS.
A Python implementation of the Dynamic Factor Model (DFM) for macroeconomic nowcasting, extending the FRBNY framework (Qian & Bok) with a modern API: real-time vintage management, Kalman-based news decomposition, optional Numba acceleration, caching, and interactive Plotly visualizations.
Nowcasting UK GDP before its official release using monthly indicators (Index of Services, Index of Production) via bridge equation and dynamic factor model
Real-time GDP nowcasting for Argentina using high-frequency indicators and machine learning, deployed as an interactive web app on Vercel.
Trabajo Final de Herramientas Econométricas - Doctorado en Economía UCA 2022
A mixed-frequency dynamic factor model for real-time nowcasting of China’s GDP growth and its application to bond market timing.
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