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TIARA Summer School on Astrostatistics and Big Data
September 4-8, 2017
Taipei, Taiwan

Program

Monday, Sep. 4
Chair: Ronald Taam
09:00 - 09:40   Registration and Coffee Time
09:40 - 10:00   Introduction
10:00 - 11:30 Jogesh Babu Probability 
11:30 - 11:50   Group Photo
11:50 - 13:00   Lunch
Chair: Yen-Ting Lin
13:00 - 14:30 Yen-Chi Chen Introduction to Statistical Inference
14:30 - 15:00   Break
15:00 - 16:30 I-Ping Tu Introduction to Support Vector Machine
Tuesday, Sep. 5
Chair: Wei-Hao Wang
09:00 - 10:30 Jogesh Babu Model Fitting, Bootstrap, and Model Selection
10:30 - 11:00   Break
11:00 - 12:30 Yen-Chi Chen Regression Analysis and Density Estimation
12:30 - 13:30   Lunch
Chair: Keiichi Umetsu
13:30 - 15:00 George Djorgovski Astroinformatics and Virtual Observatory in a Broader Context / Data Visualization
15:00 - 15:30   Break
15:30 - 16:30   Meet the lecturers
Wednesday, Sep. 6
Chair: Yen-Chi Chen
08:50 - 10:20 Robert Lupton Astronomical Image Processing:  From pixels to catalogues
10:20 - 10:40   Break
10:40 - 12:10 Anna Scaife Radio imaging: fundamentals and application
12:10 - 13:10   Lunch
Chair: Sheng-Yuan Liu
13:10 - 14:10   Meet the lecturers
14:20 - 15:20 George Djorgovski ASIAA colloquium : Big Data Meet Big Black Holes: Quasars in the Time Domain
15:20 - 15:50   Break
15:50 - 16:50 Yen-Chi Chen Tutorial I: Introduction to R for data analysis
Thursday, Sep. 7
Chair: Bau-Ching Hsieh
09:00 - 10:30 George Djorgovski Classification Challenges in Time-Domain Astronomy
ML-intro | ML-classification
10:30 - 11:00   Break
11:00 - 12:30 Robert Lupton Unsolved problems in Astronomical Image Processing
12:30 - 13:30   Lunch
Chair: Yen-Ting Lin
13:30 - 15:00 Boris Leistedt Hierarchical Bayesian inference I: foundations and astronomical applications
15:00 - 15:30   Break
15:30 - 17:00 Anna Scaife Machine Learning: Gaussian Process Modelling in Python 
Friday, Sep. 8
Chair: Wei-Hao Wang
09:00 - 10:30 Boris Leistedt Hierarchical Bayesian inference II: parameter inference and connections to machine learning
10:30 - 11:00   Break
11:00 - 12:00 Anna Scaife Tutorial II: Using Python for data analysis
12:00 - 13:30   Lunch
Chair: Ronald Taam
13:30 - 14:30   Panel Discussion: Future of Astrostatistics