000			01292nam a22002537i 4500
003			GSU
005			20260728094803.0
008			250128s2020 sz ||||||b||||000 0|eng|c
020			_a9783030564018 (paperback)
040			_aQ _beng _erda _cGSU _dGSU
050			_aQA273.18 _bKLE
100	1		_aKlenke, Achim _4author
245	1	0	_aProbability theory : _ba comprehensive course / _cAchim Klenke.
250			_aThird edition
264		1	_aCham : _bSpringer, _c©2020
300			_axiv, 716 pages : _billustrations ; _c23 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (p. [591]-598) and index.
520			_aThis textbook provides a comprehensive and rigorous introduction to modern probability theory, covering measure theory, independence, random variables, limit theorems, conditional expectations, martingales, Markov chains, stochastic processes, Brownian motion, stochastic integrals, and stochastic differential equations. The text includes numerous examples, exercises, and applications for advanced students and researchers in mathematics, statistics, and related fields.
650		0	_aProbabilities.
942			_2lcc _cRB _eThird edition _hQA273.18 _kQA _mKLE _n0
999			_c2871 _d2871