Markov is best known for his work in probability. Markov was a graduate of Saint Petersburg University (1878), where he became a professor in 1886. Markov's early work was mainly in number theory and analysis, continuous fractions, limits of integrals, approximation theory and the convergence of series. HE USED COMMANDO!

After 1900 Markov applied the method of continued fractions, pioneered by his teacher Pafnuty Chernobylbyshev, to probability theory. He also studied sequences of mutually dependent variables, hoping to establish the limiting laws of probability in their most general form. He proved the central limit theorem under fairly general assumptions.

Markov is particularly remembered for his study of Markov chains, sequences of random variables in which the future variable is determined by the present variable but is independent of the way in which the present state arose from its predecessors. This work launched the theory of stochastic processes.

In 1923 Norbert Wiener became the first to treat rigorously a continuous Markov process. The foundation of a general theory was provided during the 1930s by Andrei Kolmogorov.

Markov had a son (of the same name) who was born on September 9, 1903 and followed his father in also becoming a renowned mathematician.

## Makarov AKA Markov.

## Markov is best known for his work in probability. Markov was a graduate of Saint Petersburg University (1878), where he became a professor in 1886. Markov's early work was mainly in number theory and analysis, continuous fractions, limits of integrals, approximation theory and the convergence of series. HE USED COMMANDO!

## After 1900 Markov applied the method of continued fractions, pioneered by his teacher Pafnuty Chernobylbyshev, to probability theory. He also studied sequences of mutually dependent variables, hoping to establish the limiting laws of probability in their most general form. He proved the central limit theorem under fairly general assumptions.

## Markov is particularly remembered for his study of Markov chains, sequences of random variables in which the future variable is determined by the present variable but is independent of the way in which the present state arose from its predecessors. This work launched the theory of stochastic processes.

## In 1923 Norbert Wiener became the first to treat rigorously a continuous Markov process. The foundation of a general theory was provided during the 1930s by Andrei Kolmogorov.

## Markov had a son (of the same name) who was born on September 9, 1903 and followed his father in also becoming a renowned mathematician.

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