Participation by invitation only.
This workshop will take place at SAMSI in Research Triangle Park, NC.
Prior to NASA’s Kepler mission (2009-2013), most astronomers studying exoplanets focused on characterizing one planetary system at a time. Population studies typically consisted of histograms or maximum likelihood fits to power laws and ignored measurement uncertainties. Thanks to the large number of exoplanet detection and the relative uniformity of the Kepler planet search, it has become practical and beneficial in recent years to introduce hierarchical Bayesian methods to the analysis of exoplanet populations. This workshop will build on these current efforts by facilitating intensive face-to-face collaboration between astronomers and statisticians to address relevant statistical and mathematical issues. Possible topics include further advancing the state-of-the-art in Kepler noise modeling; improving the statistical interpretation of new or upcoming surveys (e.g., K2, TESS, next-generation Doppler surveys); developing emulator functions to streamline the incorporation of computationally intensive physics-based simulations into population statistical modeling; and performing model comparison within this hierarchical framework.
Questions: email firstname.lastname@example.org