A. A. Markov. "Rasprostranenie zakona bol'shih chisel na velichiny, zavisyaschie drug ot druga". Izvestiya Fiziko-matematicheskogo obschestva pri Kazanskom universitete, 2-ya seriya, tom 15, pp 135-156, 1906.
A.A. Markov. "Extension of the limit theorems of probability theory to a sum of variables connected in a chain". reprinted in Appendix B of: R. Howard. Dynamic Probabilistic Systems, volume 1: Markov Chains. John Wiley and Sons, 1971.
External links
Andrei Andreyevich Markov (http://www-gap.dcs.st-and.ac.uk/~history/Mathematicians/Markov.html)(at the MacTutor History of Mathematics archive)
The Life and Work of AA Markov (http://mac03-204ha.math.ncsu.edu/~langville/naoumov.pdf)
Andrey Andreevich Markov (1903-1979) (http://logic.pdmi.ras.ru/Markov/)(page at the Steklov Institute of Mathematics at St.Petersburg)
Markov involved himself in anti-Czarist, liberal politics and protested Czar Nicholas II (1868-1918) refusal to elect writer Maxim Gorky (1868-1936) to the St. Petersburg Academy in 1902.
Markov then stayed on at St. Petersburg to work for his master's degree, which was granted in 1880, then for his doctorate, which he received in 1884.
Andrey (Andrei) Andreyevich Markov (Russian: Андрей Андреевич Марков) (June 14, 1856 N.S. July 20, 1922) was a Russian mathematician.
A Markov chain (named in honor of AndreiAndreevichMarkov) is a stochastic process with what is called the Markov property[?], of which there is a "discrete-time" version and a "continuous-time" version.
Markov chains are used to model various processes in queuing theory and statistics, and can also be used as a signal model in entropy coding techniques such as arithmetic coding.
Markov chains also have many biological applications, particularly population processes, which are useful in modelling processes that are (at least) analogous to biological populations.