Results 261 to 270 of about 7,479,809 (288)
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2003
The Central Limit Theorem is one of the classical results in statistics with many applications in actuarial mathematics, finance, and risk management and a host of other not necessarily economic disciplines. In Chapter 14 we will apply it to the derivation of the Black—Scholes formula from the binomial Cox—Ross—Rubinstein model.
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The Central Limit Theorem is one of the classical results in statistics with many applications in actuarial mathematics, finance, and risk management and a host of other not necessarily economic disciplines. In Chapter 14 we will apply it to the derivation of the Black—Scholes formula from the binomial Cox—Ross—Rubinstein model.
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On the Multidimensional Central Limit Theorem
Theory of Probability & Its Applications, 1968openaire +1 more source
A general central limit theorem under sublinear expectations
Science China Mathematics, 2010Yufeng Shi
exaly
On the Central Limit Theorem for Stationary Mixing Random Fields
Annals of Probability, 1982E Bolthausen
exaly
Central limit theorem for U-statistics of associated random variables
Statistics and Probability Letters, 2002B L S Prakasa Rao
exaly
A note on the almost sure central limit theorem for weakly dependent random variables
Statistics and Probability Letters, 1995Qi-Man Shao
exaly
On the almost sure (a.s.) central limit theorem for random variables with infinite variance
Journal of Theoretical Probability, 1994I Berkes
exaly
Central limit theorem and almost sure central limit theorem for the product of some partial sums
Proceedings of the Indian Academy of Sciences: Mathematical Sciences, 2008exaly