
arXiv: 1707.06768
Compound random measures (CoRM's) are a flexible and tractable framework for vectors of completely random measure. In this paper, we provide conditions to guarantee the existence of a CoRM. Furthermore, we prove some interesting properties of CoRM's when exponential scores and regularly varying L��vy intensities are considered.
FOS: Computer and information sciences, Bayesian non-parametrics, exchangeable partition probability function, Probability (math.PR), Mathematics - Statistics Theory, Statistics Theory (math.ST), Processes with independent increments; Lévy processes, multivariate Lévy measure, Methodology (stat.ME), partial exchangeability, Exchangeability for stochastic processes, FOS: Mathematics, Statistics - Methodology, Mathematics - Probability, Random measures
FOS: Computer and information sciences, Bayesian non-parametrics, exchangeable partition probability function, Probability (math.PR), Mathematics - Statistics Theory, Statistics Theory (math.ST), Processes with independent increments; Lévy processes, multivariate Lévy measure, Methodology (stat.ME), partial exchangeability, Exchangeability for stochastic processes, FOS: Mathematics, Statistics - Methodology, Mathematics - Probability, Random measures
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
