NARIT-EACOA Summer Workshop on Astrostatistics & Astroinformatics

from Tuesday, 13 August 2019 (09:00) to Saturday, 17 August 2019 (19:30)


        : Sessions
    /     : Talks
        : Breaks
13 Aug 2019
14 Aug 2019
15 Aug 2019
16 Aug 2019
17 Aug 2019
AM
09:00 Introduction and welcome - Eric Feigelson/LOC+SOC   ()
09:30 Introduction to Astrostatistics & R (lecture) - Eric Feigelson   ()
10:30 --- Coffee break ---
11:00 Getting started with R and CRAN part.1 (tutorial) - Eric Feigelson   ()
09:00 Regression: Fundamental of statistical inference (lecture+tutorial) - Eric Feigelson   ()
11:00 --- Coffee break ---
11:30 Spatial point processes (lecture+tutorial) - Eric Feigelson   ()
09:00 Nondetections: Censoring & truncation (lecture+tutorial) - Eric Feigelson   ()
10:00 --- Coffee break ---
10:30 Time series analysis part.1 (lecture+tutorial) - Eric Feigelson   ()
09:00 Astinfo 1.1 - Introduction to Data Science (lecture) - Ashish Mahabal   ()
10:00 --- Coffee break ---
10:30 Astinfo 1.2 - Programming with Python (Jup.notebook) - Ashish Mahabal   ()
09:00 Astinfo 2.1 - Unsupervised classification (Jup.notebook) - Ashish Mahabal   ()
10:00 --- Coffee break ---
10:30 Astinfo 2.2 - Unsupervised classification exercise (Jup.notebook) - Ashish Mahabal   ()
PM
12:30 --- Lunch ---
14:00 Nonparametrics & local regression (lecture+tutorial) - Eric Feigelson   ()
15:00 --- Coffee break ---
15:30 Nonparametrics & local regression (lecture+tutorial) - Eric Feigelson   ()
17:30 Welcome Reception   ()
12:30 --- Lunch ---
14:00 Multivariate clustering & classification (lecture+tutorial) - Eric Feigelson   ()
15:30 --- Coffee break ---
16:00 Bayesian inference & computation (lecture) - Eric Feigelson   ()
12:00 --- Lunch ---
13:30 Research talk: Autoregressive planet search - Eric Feigelson   ()
14:30 High performance computing in R (tutorial) - Eric Feigelson   ()
15:30 --- Coffee break ---
16:00 Towards good statistical practices in astronomy (lecture) - Eric Feigelson   ()
12:00 --- Lunch ---
13:30 Astinfo 1.3a - Best programming practices (lecture) - Ashish Mahabal   ()
14:00 Astinfo 1.3b - Classification (lecture)   ()
15:00 --- Coffee break ---
15:30 Astinfo 1.4a - Supervised classification (Jup.notebook) - Ashish Mahabal   ()
16:30 Astinfo 1.4b - Supervised classification exercise (Jup.notebook)   ()
12:00 --- Lunch ---
13:30 Astinfo 2.3 - Deep learning (lecture) - Ashish Mahabal   ()
15:00 --- Coffee break ---
15:30 Astinfo 2.4 - Deep learning (Jup.notebook) - Ashish Mahabal   ()
17:30 Farewell Dinner   ()
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