stochastic

He is best known for his work on stochastic processes.

This is usually done by help of stochastic asset models.

According to its stochastic nature, this new state is accepted at random.

The third step of stochastic thinking is to verify that the system changes are effective.

The average reporter doesn't know what a stochastic model is.

Stochastic effects are of course long-term and would probably not appear for decades.

Let be a stochastic price process on this space.

This makes it extremely difficult to isolate its stochastic effects.

In 1916-1917 he contributed to the theory of stochastic convergence.

There is a difference between forward and futures prices when interest rates are stochastic.

He also is the author of three books on stochastic analysis and optimization.

The reason for this is that biological systems are real and include small stochastic variations.

It is a key process in terms of which more complicated stochastic processes can be described.

Any system or process that can be analyzed using probability theory is stochastic.

The results of a stochastic process (statistics) can only be known after computing it.

At the same time he was considering questions unrelated to stochastic processes.

The book of 1995 is the key reference for applied stochastic geometry.

Most notably, bridge is a stochastic game of incomplete information.

A stochastic process is always adapted to its natural filtration.

Particularly, we can view rumor spread as a stochastic process in social networks.

A Markov decision process is a stochastic game with only one player.

But setting aside a stochastic modeling program seemed reasonable enough.

We can view the output of a process as deterministic or stochastic.

The most common way to create compositions through mathematics is stochastic processes.

The result of the integration is another stochastic process.