Conditional principles for random weighted measures
ESAIM: Probability and Statistics, Tome 9 (2005), pp. 283-306
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In this paper, we prove a conditional principle of Gibbs type for random weighted measures of the form , being a sequence of i.i.d. real random variables. Our work extends the preceding results of Gamboa and Gassiat (1997), in allowing to consider thin constraints. Transportation-like ideas are used in the proof.
DOI :
10.1051/ps:2005016
Classification :
60E15, 60F10
Keywords: large deviations, transportation cost inequalities, conditional laws of large numbers, minimum entropy methods
Keywords: large deviations, transportation cost inequalities, conditional laws of large numbers, minimum entropy methods
@article{PS_2005__9__283_0, author = {Gozlan, Nathael}, title = {Conditional principles for random weighted measures}, journal = {ESAIM: Probability and Statistics}, pages = {283--306}, publisher = {EDP-Sciences}, volume = {9}, year = {2005}, doi = {10.1051/ps:2005016}, mrnumber = {2174872}, zbl = {1136.60332}, language = {en}, url = {http://geodesic.mathdoc.fr/articles/10.1051/ps:2005016/} }
TY - JOUR AU - Gozlan, Nathael TI - Conditional principles for random weighted measures JO - ESAIM: Probability and Statistics PY - 2005 SP - 283 EP - 306 VL - 9 PB - EDP-Sciences UR - http://geodesic.mathdoc.fr/articles/10.1051/ps:2005016/ DO - 10.1051/ps:2005016 LA - en ID - PS_2005__9__283_0 ER -
Gozlan, Nathael. Conditional principles for random weighted measures. ESAIM: Probability and Statistics, Tome 9 (2005), pp. 283-306. doi: 10.1051/ps:2005016
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