Workshop on Astrostatistics
from
Monday 7 October 2024 (08:30)
to
Wednesday 9 October 2024 (22:40)
Monday 7 October 2024
09:30
Welcome and organization
Welcome and organization
09:30 - 10:00
Room: Aula Ovest
10:00
Why astrostatistics? (Intro_Astrostat.pdf)
Why astrostatistics? (Intro_Astrostat.pdf)
10:00 - 10:50
Room: Aula Ovest
10:50
Coffee break
Coffee break
10:50 - 11:10
Room: Aula Ovest
11:10
Introduction to R (Intro_R.pdf, Tutorial_1_IntroR.R, Tutorial_1_IntroR.ipynb)
Introduction to R (Intro_R.pdf, Tutorial_1_IntroR.R, Tutorial_1_IntroR.ipynb)
11:10 - 12:00
Room: Aula Ovest
14:30
Nonparametric statistics (Nonpar_stat.pdf)
Nonparametric statistics (Nonpar_stat.pdf)
14:30 - 15:20
Room: Aula Ovest
15:20
Coffee break
Coffee break
15:20 - 15:40
Room: Aula Ovest
15:40
Nonparametric density estimation (Nonpar_smooth.pdf, Tutorial_2_Local_regression.R, Tutorial_2_Local_regression.ipynb)
Nonparametric density estimation (Nonpar_smooth.pdf, Tutorial_2_Local_regression.R, Tutorial_2_Local_regression.ipynb)
15:40 - 17:00
Room: Aula Ovest
Tuesday 8 October 2024
09:30
Statistical inference and regression (Inference_regression.pdf, Tutorial_3_Regression.R, Tutorial_3_Regression.ipynb)
Statistical inference and regression (Inference_regression.pdf, Tutorial_3_Regression.R, Tutorial_3_Regression.ipynb)
09:30 - 10:20
Room: Aula Ovest
10:20
Coffee break
Coffee break
10:20 - 10:40
Room: Aula Ovest
10:40
Statistical inference and regression (Inference_regression.pdf, Tutorial_3_Regression.R, Tutorial_3_Regression.ipynb)
Statistical inference and regression (Inference_regression.pdf, Tutorial_3_Regression.R, Tutorial_3_Regression.ipynb)
10:40 - 12:00
Room: Aula Ovest
14:30
Bayesian inference (Bayesian_infererence.pdf)
Bayesian inference (Bayesian_infererence.pdf)
14:30 - 15:20
Room: Aula Ovest
15:20
Coffee break
Coffee break
15:20 - 15:40
Room: Aula Ovest
15:40
Clustering & classification (Clust_class.pdf)
Clustering & classification (Clust_class.pdf)
15:40 - 17:00
Room: Aula Ovest
Wednesday 9 October 2024
09:30
Clustering & classification (Tutorial_4_Clust_class.R, Tutorial_4_Clust_class.ipynb)
Clustering & classification (Tutorial_4_Clust_class.R, Tutorial_4_Clust_class.ipynb)
09:30 - 10:20
Room: Aula Ovest
10:20
Coffee break
Coffee break
10:20 - 10:40
Room: Aula Ovest
10:40
Time series analysis (Time_series.pdf, Tutorial_5_Time_series.R, Tutorial_5_Time_series.ipynb)
Time series analysis (Time_series.pdf, Tutorial_5_Time_series.R, Tutorial_5_Time_series.ipynb)
10:40 - 12:00
Room: Aula Ovest
14:30
Research: AutoRegressive Planet Search (AR_planet_search.pdf)
Research: AutoRegressive Planet Search (AR_planet_search.pdf)
14:30 - 15:20
Room: Aula Ovest
15:20
Coffee break
Coffee break
15:20 - 15:40
Room: Aula Ovest
15:40
Best statistical practices for astronomy (Best_stat_practices.pdf)
Best statistical practices for astronomy (Best_stat_practices.pdf)
15:40 - 16:30
Room: Aula Ovest
16:30
Discussion: Statistical methodology in astronomical research
Discussion: Statistical methodology in astronomical research
16:30 - 17:00
Room: Aula Ovest