Terascale Statistics School 2017
from
Monday 6 March 2017 (14:00)
to
Friday 10 March 2017 (18:00)
Monday 6 March 2017
14:00
Welcome
Welcome
14:00 - 14:10
Room: SR 4a/b
14:10
Introduction
-
Roger Barlow
(
Huddersfield University
)
Introduction
Roger Barlow
(
Huddersfield University
)
14:10 - 15:40
Room: SR 4a/b
15:40
Coffee break
Coffee break
15:40 - 16:10
Room: SR 4a/b
16:10
Parameter estimation
-
Glen Cowan
(
Royal Holloway, University of London
)
Parameter estimation
Glen Cowan
(
Royal Holloway, University of London
)
16:10 - 17:40
Room: SR 4a/b
17:40
Computing set up
Computing set up
17:40 - 18:00
Room: SR 4a/b
Tuesday 7 March 2017
09:00
Introduction (Hypothesis Testing and Confidence Intervals)
-
Roger Barlow
(
Huddersfield University
)
Introduction (Hypothesis Testing and Confidence Intervals)
Roger Barlow
(
Huddersfield University
)
09:00 - 10:30
Room: SR 4a/b
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: SR 4a/b
11:00
Parameter estimation
-
Glen Cowan
(
Royal Holloway, University of London
)
Parameter estimation
Glen Cowan
(
Royal Holloway, University of London
)
11:00 - 12:30
Room: SR 4a/b
12:30
Lunch break
Lunch break
12:30 - 14:00
Room: SR 4a/b
14:00
Tutorial - Limits (I)
-
Roger Wolf
(
Karlsruhe Institut für Technologie (KIT)
)
Tutorial - Limits (I)
Roger Wolf
(
Karlsruhe Institut für Technologie (KIT)
)
14:00 - 15:30
Room: SR 4a/b
15:30
Coffee break
Coffee break
15:30 - 16:00
Room: SR 4a/b
16:00
Tutorial - Limits (II)
-
Roger Wolf
(
Karlsruhe Institut für Technologie (KIT)
)
Tutorial - Limits (II)
Roger Wolf
(
Karlsruhe Institut für Technologie (KIT)
)
16:00 - 18:00
Room: SR 4a/b
Wednesday 8 March 2017
09:00
Introduction (III)
-
Roger Barlow
(
Huddersfield University
)
Introduction (III)
Roger Barlow
(
Huddersfield University
)
09:00 - 10:30
Room: SR 4a/b
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: SR 4a/b
11:00
Introduction: Machine learning
-
Harrison Prosper
(
Florida State University
)
Introduction: Machine learning
Harrison Prosper
(
Florida State University
)
11:00 - 12:30
Room: SR 4a/b
12:30
Lunch break
Lunch break
12:30 - 14:00
Room: SR 4a/b
14:00
Tutorial: Machine learning
-
Harrison Prosper
(
Florida State University
)
Tutorial: Machine learning
Harrison Prosper
(
Florida State University
)
14:00 - 15:30
Room: SR 4a/b
15:30
Coffee break
Coffee break
15:30 - 16:00
Room: SR 4a/b
16:00
Tutorial: Machine learning
-
Harrison Prosper
(
Florida State University
)
Tutorial: Machine learning
Harrison Prosper
(
Florida State University
)
16:00 - 18:00
Room: SR 4a/b
18:00
Dinner
Dinner
18:00 - 21:00
Room: Canteen Extension, build. 9
Thursday 9 March 2017
09:00
Introduction to R
-
Wolfgang Rolke
(
UPR
)
Introduction to R
Wolfgang Rolke
(
UPR
)
09:00 - 10:30
Room: SR 4a/b
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: SR 4a/b
11:00
Machine learning (II)
-
Harrison Prosper
(
Florida State University
)
Machine learning (II)
Harrison Prosper
(
Florida State University
)
11:00 - 12:30
Room: SR 4a/b
12:30
Lunch break
Lunch break
12:30 - 14:00
Room: SR 4a/b
14:00
Tutorial: Machine learning (II)
-
Harrison Prosper
(
Florida State University
)
Tutorial: Machine learning (II)
Harrison Prosper
(
Florida State University
)
14:00 - 15:30
Room: SR 4a/b
15:30
Coffee break
Coffee break
15:30 - 16:00
Room: SR 4a/b
16:00
Tutorial: Machine learning (II)
-
Harrison Prosper
(
Florida State University
)
Tutorial: Machine learning (II)
Harrison Prosper
(
Florida State University
)
16:00 - 18:00
Room: SR 4a/b
Friday 10 March 2017
09:00
Goodness of fit
-
Wolfgang Rolke
(
UPR
)
Goodness of fit
Wolfgang Rolke
(
UPR
)
09:00 - 10:30
Room: SR 4a/b
10:30
Coffee break
Coffee break
10:30 - 10:45
Room: SR 4a/b
10:45
Highlight talk: Statistics in the past, present and future
-
Harrison Prosper
(
Florida State University
)
Highlight talk: Statistics in the past, present and future
Harrison Prosper
(
Florida State University
)
10:45 - 11:45
Room: SR 4a/b
11:45
Goodbye
Goodbye
11:45 - 11:55
Room: SR 4a/b