Abstract: Planetary gearbox fault detection is important in terms of life-threatening failure prevention and maintenance optimization. This article focuses on the representation of the planetary ...
Every time a language model like GPT-4, Claude or Mistral generates a sentence, it does something deceptively simple: It picks one word at a time. This word-by-word approach is what gives ...
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper proposes a “quasi-agnostic” sign restriction procedure to identify structural shocks in frequentist structural ...
The Bank of England has unveiled a structural vector autoregression (SVAR) model that addresses some of the criticisms raised in Ben Bernanke’s review of the bank’s forecasting. In a paper published ...
This study examines how trade shocks that start in one large economy ripple through other countries and how long those effects stick around. Using quarterly bilateral-trade data for 2012-2023, the ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Last month, along with a comprehensive ...
Forecasting the production and export of shrimp in Bangladesh: a policy focused time series analysis
Introduction: The study analyses shrimp industry of Bangladesh, highlighting its growth potential amid challenges such as declining export volumes, quality compliance issues, and competition from ...
This paper examines if the Indian stock market moves with other markets in Asia and the United States in an era of capital market reforms and the sustained interest of foreign investors in that market ...
Abstract: Finding the best vector autoregression model for any dataset, medical or otherwise, is a process that, to this day, is frequently performed manually in an iterative manner requiring a ...
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