Poster Presentations

Tuesday, June 7th

• Anupam Bhardwaj - A statistical study of non-linearity in the Leavitt laws for classical Cepheids
• Eric B. Ford - The occurance rate of systems with tightly-spaced inner planets (STIPs) with Approximate Bayesian Computing
• Zhao Guo - Bayesian model comparison and application of JAGS/STAN in binary star research
• Jeremy Hare - Machine-learning approach to multi-wavelength classificationof high-energy sources
• Jack Ireland - Optimizing the combination of images from multiple rotated detectors for the Focusing Optics X-ray Solar Imager
• Karl Jaehnig - The structural evolution of forming and early stage star clusters
• Shashi Kanbur - A Bayesian approach to searching for nonlinearity in the Cepheid period-luminosity relation
• Rhea Kapoor - An efficient method for the statistical prediction of astronomical objects
• Michael Kirk - Blind denoising techniques applied to solar images
• Dusan Marceta - Mutual centennial cycles in the solar activity and the Earth’s rate of rotation
• Gregory Martinez - Statistical challenges of stellar orbital fitting in the Galactic Center
• Kathryn McKeough - Outlining extended objects in deconvolved posterior mean images
• Chow-Choong Ngeow - Applying survival analysis on Cepheid period-luminosity relation at 70μm
• Michal Pawlak - Hierarchical machine learning classification of the eclipsing binaries in the OGLE project
• Barbara J. Thompson - Results from persistence mapping of solar imager data

Wednesday, June 8th

• Eduardo Balbinot - Predicting the number of cold streams in the Galaxy
• Foivos Diakogiannis - A non-parametric solution to the core/cusp problem using evolutionary algorithms
• Gwendolyn Eadie - The effects of measurement uncertainties and high velocity satellites on the mass estimate of the Milky Way
• Raphaël Errani - Constraining the distribution of dark matter in dwarf spheroidal galaxies and their tidal streams through non-equilibrium Bayesian modelling
• Leonardo Ferreira - Morphometry and Supervised Classification Degradation with Redshift: a case study for SDSS, DES and HST
• Gantcho Gantchev - Structure functions of luminous blue variables in M33
• Tom Loredo - Light curve demography via Bayesian functional data analysis
• Elizabeth Martinez-Gómez - The issue of stability in low-mass disk galaxies under MOND theory based on a Bayesian framework
• Christina Peters - The quasar luminosity function without spectra using classication by color and variability
• Sahar Rahmani - Mining in nearby galaxies
• Dootika Vats - Multivariate output analysis for Markov Chain Monte Carlo
• Geert Verdoolaege - Geodesic least squares regression with applications to astrophysical data

Thursday, June 9th

• Jean Ballet - Weighted logLikelihood for Fermi gamma-ray analysis
• Rasmi Elasmar - Computer vision experiments in crowdsourced astronomy
• V. Zachary Golkhou - Uncovering meaningful timescales of astrophysical phenomena
• Changhoon Hahn - Approximate Bayesian Computation in large scale structure: constraining the halo-galaxy connection
• David Keitel - Statistical challenges in gravitational-wave astronomy
• Karen Leighly - SimBAL: A spectral synthesis approach to analyzing broad absorption line quasar spectra
• Carolina Nuñez - Photometric selection of a luminous red galaxy catalog with z ≥ 0.55
• Austin Peel - Cosmological constraints from peak counts in a Euclid-like simulation
• Maria Elidaiana da Silva Pereira - Density profiles of galaxy clusters in the CFHT Stripe 82 survey from weak gravitational lensing
• István Rácz - Spectral classification of Fermi GRBs
• Evan Tucker - A Bayesian approach for fitting galaxy spectra with an integrated light population synthesis model
• Benjamin Weiner - Fitting sparse composite models of galaxy star formation histories
• Peter Williams - Using Gaussian mixture models to identify lensed quasars