In the previous lessons and labs, you learned about some fundamentals of probability theory, along with basic combinatorics such as permutations and combinations. You'll now extend your knowledge of ...

You'll see how Conditional Probability is extremely important in Statistics, and the foundation of many applications. Understanding conditional probability is essential when exploring fields in ...

In the world of probability theory and statistics, conditional distribution is an essential concept that helps understand the relationship between two or more events. Conditional distribution provides ...

Conditional probability occurs when it is given that something has happened. (Hint: look for the word “given” in the question. The probability that a tennis player wins the first set of a match is ...

We elaborate on an alternative representation of conditional probability to the usual tree diagram. We term the representation “turtleback diagram” for its resemblance to the pattern on turtle shells.

Abstract: This paper proposes a direct model for conditional probability density forecasting of residential loads, based on a deep mixture network. Probabilistic residential load forecasting can ...

Probability is the measure of the likelihood that an event will occur. In simple terms, it tells us how likely it is for a particular outcome to take place. When there are multiple events, calculating ...