Examples of such an optimization problem include finding capacity ... To the best of our knowledge, this is the only approach available in the theory of optimizing non-linear functionals over ...

Angelos’ main research areas include applications of probability and stochastic processes ... research areas include stochastic portfolio theory, robust methods in finance, portfolio selection and ...

The normal distribution is the probability distribution that plots ... The normal distribution is a key element to modern portfolio theory, a mathematical approach to investing that assumes ...

Dr Irfan Ali, a faculty member in the Department of Statistics and Operations Research at Aligarh Muslim University (AMU), has been ranked among the world's top 0.5% of scholars in the fields of ...

Introduces students to the tools methods and theory behind extracting insights from data. Covers algorithms of cleaning and munging data, probability theory and common distributions, statistical ...

In this course, you’ll learn theoretical foundations of optimization methods used for training deep machine learning models. Why does gradient descent work? Specifically, what can we guarantee about ...

PROBABILITY theory is a quaint little piece of mathematics. It is about sets of non-negative numbers that are attached to actual and possible physical events, that sum to 1 and that obey certain ...