At first glance, pharmaceutical giant Eli Lilly (LLY) may seem like an awfully risky wager. On Friday, LLY stock fell 2.47%, ...

A discrete random variable is a type of random variable that can take on a countable set of distinct values. Common examples include the number of children in a family, the outcome of rolling a die, ...

For example, if you toss a coin 100 times, you expect 50 of them would land on heads. Thus we have the probability of success p = − 1 2, multiplied by the number of trials n = 100. Variance and ...

In this paper, we propose a novel machine learning approach that characterizes the categorical image emotions as a discrete probability distribution (DPD). To associate emotion with the visual ...

Key Points Variable data is data that is measured. It can be derived from anything that you measure within your processes. It ...

The course provides a precise and accurate treatment of probability, distribution theory and statistical inference. As such there will be a strong emphasis on mathematical statistics as important ...

There are two main types of probability distributions: discrete probability distributions and continuous probability distributions. 1) Discrete Probability Distribution: This type of distribution ...

This article studies the stabilization problem for a class of discrete-time hidden semi-Markov jump linear systems with partly unknown emission probability matrix. By virtue of the improved ...

On the other hand, probability theory is used in machine learning, networking, and artificial intelligence. In effect, Discrete Mathematics makes all aspects of Maths easy.