Continuous Variable: can take on any value between two specified values. Obtained by measuring. Covariance: a measure of the direction of the linear relationship between two variables. Discrete ...

Binomial edge ideals constitute a vibrant research area where the methods of commutative algebra intersect with the combinatorial structures inherent in graph theory. By associating to each graph an ...

This course is available on the MSc in Applicable Mathematics and MSc in Operations Research & Analytics. This course is available as an outside option to students on other programmes where ...

A guide with examples for learning this key idea in options trading Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive ...

The binomial group-testing problem is extended to the case in which the common probability p of a unit being defective is unknown. A Bayes "non-mixing" procedure R(1) is derived and compared with ...

Descriptive statistics, basic concepts of probability and sampling with the aim of introducing fundamental notions and techniques of statistical inference. Prerequisite: Math 10 or a score of 51 or ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Khadija Khartit is a strategy, investment, and funding expert, and an educator of fintech and strategic finance ...

We introduce a novel generative model: Discrete Distribution Networks (DDN). DDN employs a simple yet unique approach to model the target distribution, distinctly different from mainstream generative ...

Abstract: The large-scale integration of distributed energy resources into active distribution networks (ADNs) may significantly intensify voltage fluctuations and increase network losses. Traditional ...

Abstract: In this work, capacitance analysis of a statistically significant sample of 30 diodes were conducted for a wide voltage range. For voltages below the built-in bulk potential, a well-known ...

Negative sampling(NS) is a core component in training collaborative filtering models with implicit feedback, as it directly determines the quality and direction of the optimization signal. Recent ...