How Likely Is A Big Stock Market Drop?

Discover why options market data suggests a lower crash risk for U.S. stocks than pundit surveys, and how to optimize asset ...
IEEE

A Fully Probabilistic Model for Sigmoid Approximation and Its Hardware- Efficient Implementation

Abstract: The sigmoid function is a representative activation function in shallow neural networks. Its hardware realization is challenging due to the complex exponential and reciprocal operations.
Scientific Research Publishing

Random Coefficient Modelling of the Global Effect of Exchange and Monetary Policy Rates on Inflation (2) ()

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...
IEEE

Accelerated Successive Convex Approximation for Nonlinear Optimization-Based Control

Abstract: The successive convex approximation (SCA) methods stand out as the viable option for nonlinear optimization-based control, as it effectively addresses the challenges posed by nonlinear ...
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