Zero-shot TSFMs conditioned on leakage-safe covariates from Google Trends and an institutional index forecast commencing enrolments competitively with classical methods under data sparsity.
Eichenauer, Ronald Indergand, Isabel Z
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Web-search-derived demand indexes for cobalt, copper and nickel are embedded in SVAR models to isolate persistent price effects from transition demand shocks in metal markets.
citing papers explorer
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Forecasting Commencing Enrolments Under Data Sparsity: A Zero-Shot Time Series Foundation Models Framework for Higher Education Planning
Zero-shot TSFMs conditioned on leakage-safe covariates from Google Trends and an institutional index forecast commencing enrolments competitively with classical methods under data sparsity.
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Quantifying Demand Shocks in the Green and Digital Transition
Web-search-derived demand indexes for cobalt, copper and nickel are embedded in SVAR models to isolate persistent price effects from transition demand shocks in metal markets.