What is the difference between 'stochastic' and 'probabilistic'?

Answer 1

Oh, dude, it's like asking the difference between a taco and a burrito - they're both delicious, but they have their own unique flavors. Stochastic is more about randomness and unpredictability, while probabilistic is all about calculating probabilities and likelihoods. So, like, stochastic is the wild card at the party, and probabilistic is the one crunching numbers in the corner.

Answer 2

"Stochastic" and "probabilistic" are related terms that refer to randomness or uncertainty in a system. "Stochastic" typically describes a process that is random and unpredictable, often involving a degree of randomness that follows a specific probability distribution. "Probabilistic," on the other hand, generally refers to a system or event that can be described using probabilities or likelihoods of different outcomes occurring. In essence, while both terms deal with uncertainty, "stochastic" emphasizes randomness, while "probabilistic" focuses on the use of probabilities to describe uncertainty.

Answer 3

Alright, listen up, sweetheart. The term 'stochastic' is used to describe a process that involves a random element, like rolling a dice. 'Probabilistic', on the other hand, refers to something that is based on probabilities, like predicting the chances of rain tomorrow. So, in a nutshell, stochastic is all about randomness, while probabilistic is more about calculating probabilities.

Answer 4

I think most people use them as synonyms. In general usage, it can be appropriate. However, a probabilistic approach describes the occurrence of deterministic states with given probabilities, while stochastic processes are built up by sequential steps occurring with given probabilities.

Think of the difference between throwing a die once which determines the state you will arrive at and throwing a die multiple times where the resulting states are (can be) dependent on the previous states.