TY  - JOUR
SN  - 0001-8678
EP  - 459
ID  - eprints976
N2  - In this paper the theory of species sampling sequences is linked to the theory of conditionally identically distributed sequences in order to enlarge the set of species sampling sequences which are mathematically tractable. The conditional identity in distribution (see Berti, Pratelli and Rigo (2004)) is a new type of dependence for random variables, which generalizes the well-known notion of exchangeability. In this paper a class of random sequences, called generalized species sampling sequences, is defined and a condition to have conditional identity in distribution is given. Moreover, two types of generalized species sampling sequence that are conditionally identically distributed are introduced and studied: the generalized Poisson-Dirichlet sequence and the generalized Ottawa sequence. Some examples are discussed. 
JF  - Advances in applied probability
PB  - Applied Probability Trust
IS  - 2
AV  - none
TI  - Conditionally identically distributed species sampling sequences
SP  - 433
Y1  - 2010///
UR  - http://projecteuclid.org/euclid.aap/1275055237
A1  - Bassetti, Federico
A1  - Crimaldi, Irene
A1  - Leisen, Fabrizio
VL  - 42
KW  - Conditional identity in distribution; Poisson-Dirichlet sequence; random partition; random probability measure; randomly reinforced urn; species sampling sequence; stable convergence
ER  -