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Statistical Laboratory

Publications

Should We Trust Algorithms?
D Spiegelhalter
– Harvard data science review
(2020)
No more damned lies ...
D Spiegelhalter
– NEW SCIENTIST
(2020)
245,
48
Risk perceptions of COVID-19 around the world
S Dryhurst, CR Schneider, J Kerr, ALJ Freeman, G Recchia, AM van der Bles, D Spiegelhalter, S van der Linden
– Journal of Risk Research
(2020)
23,
994
Introducing <em>The Art of Statistics: How to Learn from Data</em>
D Spiegelhalter
– Numeracy
(2020)
13,
1
Hormone replacement therapy and the risk of breast cancer: How much should women worry about it?
M Climént-Palmer, D Spiegelhalter
– Post reproductive health
(2019)
25,
175
The Met Office Weather Game: investigating how different methods for presenting probabilistic weather forecasts influence decision-making
EM Stephens, DJ Spiegelhalter, K Mylne, M Harrison
– Geoscience Communication
(2019)
2,
101
Conducting fit-for-purpose food safety risk assessments
Y Devos, KC Elliott, P Macdonald, K McComas, L Parrino, D Vrbos, T Robinson, D Spiegelhalter, B Gallani
– EFSA Journal
(2019)
17,
e170707
Communicating uncertainty about facts, numbers, and science
AM van der Bles, S van der Linden, ALJ Freeman, J Mitchell, AB Galvao, L Zaval, DJ Spiegelhalter
– Royal Society Open Science
(2019)
6,
181870
The Art of Statistics Learning from Data
D Spiegelhalter
(2019)
Bayesian analysis of realistically complex models
NG Best, DJ Spiegelhalter, A Thomas, CEG Brayne
– Journal of the Royal Statistical Society Series A (Statistics in Society)
(2018)
159,
323
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Frontpage talks

Probability

12
Nov
15:00 - 16:00: Title to be confirmed
Probability

Statistics

19
Nov
14:00 - 15:00: Title to be confirmed
Probability

Cambridge Statistics Clinic

Research Group

Statistical Laboratory

Room

D2.06

Telephone

01223 337945