Derivatives pricing. Risk management. Machine learning in finance. These are the skills modern quants need. Build your expertise with IIM Ahmedabad.
Postdoctoral Researcher in statistical signal processing.
Abstract: IEEE 802.11 communication systems have been extensively investigated for improving vehicular road safety. However, dynamic vehicular environments and various safety applications with ...
Abstract: This paper uses semi-stochastic modelling to study inter-satellite handover strategies for coherent satellite communications between a ground user and a serving satellite from a ...
Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Donald Trump’s approval rating hits new second-term low I asked 7 chefs the best way ...
Considering the influence of quarantine and vaccination factors, this study examines an SEIQRV infectious disease model that incorporates an Ornstein-Uhlenbeck process and a general incidence function ...
Stochastic analysis and modelling encompasses the formulation, characterisation and computation of dynamic systems subject to intrinsic randomness or external noise. At its core lie stochastic ...
When it comes to fashion models, the body diversity revolution appears to be at an end. By Vanessa Friedman Earlier this month, I was standing backstage at the Schiaparelli show in Paris talking to ...
Hydrological Model (Berkeley). This project implements the underground (stochastic) hydrological model (in Python) that was developed during my postdoctoral tenure at the Dept. of Earth & Planetary ...
Conducting Monte Carlo simulation of stochastic models (GBM, Merton Jump Diffusion Model) for the forecasting of stock positions. Serves as a "prelude" to the heston repository. Quantification of risk ...
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