000			00370nam a2200145Ia 4500
999			_c170293 _d170293
020			_a9780387953137
040			_cCUS
082			_a519.2 _bKAL/F
100			_aKallenberg, Olav
245		0	_aFoundations of modern probability/ _cOlav Kallenberg
250			_a2nd ed.
260			_aNew York: _bSpringer, _c2002.
300			_axvii, 638 p. : _bill. ; _c24 cm.
440			_a(Probability and its applications)
505			_a1. Measure Theory -- Basic Notions -- 2. Measure Theory -- Key Results -- 3. Processes, Distributions, and Independence -- 4. Random Sequences, Series, and Averages -- 5. Characteristic Functions and Classical Limit Theorems -- 6. Conditioning and Disintegration -- 7. Martingales and Optional Times -- 8. Markov Processes and Discrete-Time Chains -- 9. Random Walks and Renewal Theory -- 10. Stationary Processes and Ergodic Theory -- 11. Special Notions of Symmetry and Invariance -- 12. Poisson and Pure Jump-Type Markov Processes -- 13. Gaussian Processes and Brownian Motion -- 14. Skorohod Embedding and Invariance Principles -- 15. Independent Increments and Infinite Divisibility.
650			_aProbabilities
942			_cWB16