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