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Title: Parametrizing the Kepler exoplanet period-radius distribution with the bivariate normal inverse Gaussian distribution Authors:  Wen-Liang Hung - National Tsing Hua University (Taiwan) [presenting]
Abstract: A simple and robust method is presented for obtaining a comprehensive understanding of the joint period and radius distribution in Kepler exoplanets. The proposed method is based on particle swarm optimization and bivariate Normal Inverse Gaussian distribution. Furthermore, in the construction of the probability density function, planet-host stars with the GK-type are selected. The injecting approach is also employed to solve the survey completeness of sample. The resulting occurrence rate of Earth analogs is 0.025 with a 95\% bootstrap confidence interval between 0.023 and 0.032.