Abstract: The increasing power of computing platforms and the recent advances in data science techniques have fostered the development of data-driven computational models of engineering systems with ...
Data from an experiment may appear rock solid. Upon further examination, the data may morph into something much less firm. A knee-jerk reaction to this conundrum may be to try and hide uncertain ...
Experts at the Table: Semiconductor Engineering sat down to talk about silicon lifecycle management in heterogeneous designs, where sensors produce a flood of data, with Prashant Goteti, principal ...
CEO and Founder of Xactly, the leader in sales performance management that delivers planning, execution and optimization to top enterprises. The events of the last year have put businesses under high ...
Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations
Goh, Joel, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh, and David Moore. "Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations." Operations ...
Monetary policy is forward-looking and dependent on policymakers’ economic outlook. When the outlook is deemed highly uncertain, policymakers may put more weight on incoming data when making monetary ...
Expectations are mixed on the outlook for more rate cuts by the Fed in 2026. The outlook is more favorable for resuming cuts ...
In any meeting of monetary policymakers, uncertainty is likely to play an important role in their deliberations. According to Alan Greenspan (2003), “Uncertainty is not just an important feature of ...
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