| 信州大学附属図書館OPAC

目次情報: 続きを見る

	The need for measure theory
	Probability triples
	Further probabilistic foundations
	Expected values
	Inequalities and convergence
	Distributions of random variables
	Stochastic processes and gambling games
	Discrete Markov chains
	More probability theorems
	Weak convergence
	Characteristic functions
	Decomposition of probability laws
	Conditional probability and expectation
	Martingales
	General stochastic processes
	Mathematical background

	The need for measure theory
	Probability triples
	Further probabilistic foundations