Date
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Speaker
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Title
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Wed 02/10/2016
|
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Douglas Finkbeiner (CfA)
|
-
Introduction to Astrostatistics
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Wed 02/17/2016
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-
Vinay Kashyap (CfA)
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Aneta Siemiginowska (CfA)
|
-
Upper Limits, or How X-ray bright is Antares not
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Narrow Features in Noisy Data: Is there a line?
|
Wed 03/02/2016
|
-
Alyssa Goodman (CfA)
|
-
Humans-in-the-Loop: Visualization + Machine Learning
|
Wed 03/09/2016
|
-
Kaisey Mandel (CfA)
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Ben Montet (CfA)
|
-
Hierarchical Bayes, Huh? What is it good for? Absolutely Everything (including Supernova Cosmology)!
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Posterior Distributions of Transit Times in the Kepler Dataset
|
Wed 03/23/2016
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-
Lindy Blackburn (CfA)
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Michael Johnson (CfA)
|
-
Statistics used in the detection of gravitational waves by LIGO
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Astrostatistics and Radio Interferometry: Using Information Theory, Digital Telescopes, and Stochastic Optics to Image a Black Hole
|
Wed 03/30/2016
|
-
Hyungsuk Tak (Harvard Statistics)
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Jill Naiman (CfA)
|
-
Bayesian and Profile Likelihood Strategies for Time Delay Estimation from Stochastic Time Series of Gravitationally Lensed Quasars.
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Visualization of Large Astrophysical Datasets: How do we know what we know about our data?
|
Wed 04/06/2016
|
-
Greg Green (CfA)
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David Jones (Harvard Statistics)
|
-
Mapping Dust in 3D with Stellar Photometry
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Disentangling overlapping astronomical sources using spatial and spectral data
|
Wed 04/13/2016
|
-
Victor Pankratius (MIT)
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Erik Rosolowsky (University of Alberta)
|
-
Computer-Aided Discovery in Astronomy: Leveraging Machine Intelligence for Scientific Insight Generation
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Comparing Simulations and Observations of Star Formation through Experimental Design
|
Wed 04/20/2016
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-
David A van Dyk (Imperial College London)
|
-
Science-Driven Models for Image Analysis in Astronomy and Solar Physics
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Wed 04/27/2016
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-
Anna Barnacka
|
-
Resolving the High Energy Universe with Strong Gravitational Lensing
|
Wed 05/04/2016
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-
Xiao-Li Meng (Harvard Statistics)
|
-
Calibration with Multiplicative Means but Additive Errors: A Log Normal Approach
|