000 a
999 _c32360
_d32360
008 230829b xxu||||| |||| 00| 0 eng d
020 _a9783319479729
082 _a519.2
_bBHA
100 _aBhattacharya, Rabi
245 _aBasic course in probability theory
260 _bSpringer,
_c2016
_aCham :
300 _axii, 265 p. ;
_bill.,
_c24 cm
365 _b69.99
_cEUR
_d94.90
490 _aUniversitext,
_v0172-5939
504 _aIncludes bibliographical references and indexes.
520 _aThis text develops the necessary background in probability theory underlying diverse treatments of stochastic processes and their wide-ranging applications. In this second edition, the text has been reorganized for didactic purposes, new exercises have been added and basic theory has been expanded. General Markov dependent sequences and their convergence to equilibrium is the subject of an entirely new chapter. The introduction of conditional expectation and conditional probability very early in the text maintains the pedagogic innovation of the first edition; conditional expectation is illustrated in detail in the context of an expanded treatment of martingales, the Markov property, and the strong Markov property. Weak convergence of probabilities on metric spaces and Brownian motion are two topics to highlight. A selection of large deviation and/or concentration inequalities ranging from those of Chebyshev, Cramer–Chernoff, Bahadur–Rao, to Hoeffding have been added, with illustrative comparisons of their use in practice. This also includes a treatment of the Berry–Esseen error estimate in the central limit theorem. The authors assume mathematical maturity at a graduate level; otherwise the book is suitable for students with varying levels of background in analysis and measure theory. For the reader who needs refreshers, theorems from analysis and measure theory used in the main text are provided in comprehensive appendices, along with their proofs, for ease of reference. Rabi Bhattacharya is Professor of Mathematics at the University of Arizona. Edward Waymire is Professor of Mathematics at Oregon State University. Both authors have co-authored numerous books, including a series of four upcoming graduate textbooks in stochastic processes with applications.
650 _aBanach space
650 _aConvergence
650 _aDistribution function
650 _aFatou's lemma
650 _aFourier inversion formula
650 _a Random variables
650 _a Stokes law
650 _aTruncation method
650 _aZero-one law
650 _aMarkov property
650 _aMartingales
650 _aStochastic processes
700 _aWaymire, Edward C.
942 _2ddc
_cBK