Sudakov's typical marginals, random linear functionals and a conditional central limit theorem

1997 ◽  
Vol 107 (3) ◽  
pp. 313-324 ◽  
Author(s):  
Heinrich von Weizsäcker



Author(s):  
M. P. Quine

AbstractA Berry-Esseen type result is given for the conditional distribution of a weighted sum of i.i.d. integer-valued r.v.'s given that their unweighted sum equals its expectation. The examples include the case of sampling without replacement from a finite population.



1987 ◽  
Vol 15 (2) ◽  
pp. 776-782 ◽  
Author(s):  
Dieter Landers ◽  
Lothar Rogge




2003 ◽  
Vol 108 (2) ◽  
pp. 229-262 ◽  
Author(s):  
Jérôme Dedecker ◽  
Florence Merlevède




2011 ◽  
Vol 11 (01) ◽  
pp. 71-80 ◽  
Author(s):  
DALIBOR VOLNÝ ◽  
MICHAEL WOODROOFE ◽  
OU ZHAO

The Central Limit Theorem is studied for stationary sequences that are sums of countable collections of linear processes. Two sets of sufficient conditions are obtained. One restricts only the coefficients and is shown to be best possible among such conditions. The other involves an interplay between the coefficients and the distribution functions of the innovations and is shown to be necessary for the Conditional Central Limit Theorem in the case of a causal process with independent innovations.



2012 ◽  
Vol 15 (02) ◽  
pp. 1250011 ◽  
Author(s):  
NICOLAS DIENER ◽  
ROBERT JARROW ◽  
PHILIP PROTTER

This paper uses a conditional law of large numbers and a conditional central limit theorem to provide simplified asymptotic valuation formulas for credit derivatives on baskets, including synthetic and cash-flow CDOs. In particular, approximate pricing procedures are provided for synthetic and cash-flow CDOs. In the process, this paper also clarifies the relation between the "top-down" and "bottom-up" approaches for pricing credit derivatives.



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