övergångssannolikheterna
**Övergångssannolikhet** refers to the probability of transitioning from one state to another in a stochastic process, commonly studied in fields such as probability theory, statistics, and operations research. The concept is central to Markov chains, a type of random process where the future state depends only on the current state and not on the sequence of events that preceded it. In this framework, an **övergångssannolikhet** matrix (or transition probability matrix) is used to represent the likelihood of moving between different states over discrete time intervals.
The values in the matrix are constrained such that each row sums to one, ensuring that the
This concept is widely applied in real-world scenarios, such as modeling customer behavior in marketing, predicting