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  • Currently displaying 341 - 360 of 2051 publications
Physics-Informed Machine Learning Simulator for Wildfire Propagation
L Bottero, F Calisto, G Graziano, V Pagliarino, M Scauda, S Tiengo, S Azeglio
(2020)
(link to publication)
Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences
AP Christie, D Abecasis, M Adjeroud, JC Alonso, T Amano, A Anton, BP Baldigo, R Barrientos, JE Bicknell, DA Buhl, J Cebrian, RS Ceia, L Cibils-Martina, S Clarke, J Claudet, MD Craig, D Davoult, A De Backer, MK Donovan, TD Eddy, FM França, JPA Gardner, BP Harris, A Huusko, IL Jones, BP Kelaher, JS Kotiaho, A López-Baucells, HL Major, A Mäki-Petäys, B Martín, CA Martín, PA Martin, D Mateos-Molina, RA McConnaughey, M Meroni, CFJ Meyer, K Mills, M Montefalcone, N Noreika, C Palacín, A Pande, CR Pitcher, C Ponce, M Rinella, R Rocha, MC Ruiz-Delgado, JJ Schmitter-Soto, JA Shaffer, S Sharma, AA Sher, D Stagnol, TR Stanley, KDE Stokesbury, A Torres, O Tully, T Vehanen, C Watts, Q Zhao, WJ Sutherland
– Nature communications
(2020)
11,
6377
(doi: 10.1038/s41467-020-20142-y)
Five rules for evidence communication
M Blastland, ALJ Freeman, S van der Linden, TM Marteau, D Spiegelhalter
– Nature
(2020)
587,
362
(doi: 10.1038/d41586-020-03189-1)
First cosmology results using supernovae ia from the dark energy survey: Survey overview, performance, and supernova spectroscopy
M Smith, CB D’Andrea, M Sullivan, A Möller, RC Nichol, RC Thomas, AG Kim, M Sako, FJ Castander, AV Filippenko, RJ Foley, L Galbany, S González-Gaitán, E Kasai, RP Kirshner, C Lidman, D Scolnic, D Brout, TM Davis, RR Gupta, SR Hinton, R Kessler, J Lasker, E Macaulay, RC Wolf, B Zhang, J Asorey, A Avelino, BA Bassett, J Calcino, D Carollo, R Casas, P Challis, M Childress, A Clocchiatti, S Crawford, C Frohmaier, K Glazebrook, DA Goldstein, ML Graham, JK Hoormann, K Kuehn, GF Lewis, KS Mandel, E Morganson, D Muthukrishna, P Nugent, Y-C Pan, M Pursiainen, R Sharp, NE Sommer, E Swann, BP Thomas, BE Tucker, SA Uddin, P Wiseman, W Zheng, TMC Abbott, J Annis, S Avila, K Bechtol, GM Bernstein, E Bertin, D Brooks, DL Burke, AC Rosell, MC Kind, J Carretero, CE Cunha, LN da Costa, C Davis, J De Vicente, HT Diehl, TF Eifler, J Estrada, J Frieman, J García-Bellido, E Gaztanaga, DW Gerdes, D Gruen, RA Gruendl, J Gschwend, G Gutierrez, WG Hartley, DL Hollowood, K Honscheid, B Hoyle, DJ James, MWG Johnson, MD Johnson, N Kuropatkin, TS Li, M Lima, MAG Maia, M March, JL Marshall, P Martini, F Menanteau, CJ Miller, R Miquel, E Neilsen, RLC Ogando, AA Plazas, AK Romer, E Sanchez, V Scarpine, M Schubnell, S Serrano, I Sevilla-Noarbe, M Soares-Santos, F Sobreira, E Suchyta, G Tarle, DL Tucker, W Wester
– The Astronomical Journal
(2020)
160,
267
(doi: 10.3847/1538-3881/abc01b)
Making prognostic algorithms useful in shared decision-making: Patients and clinicians’ requirements for the Predict:Breast Cancer interface
GD Farmer, GM Pearson, WJ Skylark, ALJ Freeman, DJ Spiegelhalter
(2020)
(doi: 10.1101/2020.11.16.20232348)
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
Y Wang, RD Shah
(2020)
(link to publication)
A Rapid Review of Prescribing Education Interventions
U Omer, E Danopoulos, M Veysey, P Crampton, G Finn
– Medical science educator
(2020)
31,
273
(doi: 10.1007/s40670-020-01131-8)
Microplastic contamination of salt intended for human consumption: a systematic review and meta-analysis
E Danopoulos, L Jenner, M Twiddy, JM Rotchell
– SN Applied Sciences
(2020)
2,
1950
(doi: 10.1007/s42452-020-03749-0)
Cutoff for random walk on dynamical Erdős–Rényi graph
P Sousi, S Thomas
– Annales de l Institut Henri Poincaré Probabilités et Statistiques
(2020)
56,
2745
(doi: 10.1214/20-AIHP1057)
Logarithmic corrections to scaling in the four-dimensional uniform spanning tree
T Hutchcroft, P Sousi
(2020)
(link to publication)
Differential Temporal Difference Learning
AM Devraj, I Kontoyiannis, SP Meyn
– IEEE Transactions on Automatic Control
(2020)
66,
4652
(doi: 10.1109/tac.2020.3033417)
Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study.
AK Clift, CAC Coupland, RH Keogh, K Diaz-Ordaz, E Williamson, EM Harrison, A Hayward, H Hemingway, P Horby, N Mehta, J Benger, K Khunti, D Spiegelhalter, A Sheikh, J Valabhji, RA Lyons, J Robson, MG Semple, F Kee, P Johnson, S Jebb, T Williams, J Hippisley-Cox
– The BMJ
(2020)
371,
m3731
(doi: 10.1136/bmj.m3731)
A comparison principle for random walk on dynamical percolation
J Hermon, P Sousi
– The Annals of Probability
(2020)
48,
2952
(doi: 10.1214/20-AOP1441)
Teaching and Learning in Uncertainty
V Jog, P-L Loh
– IEEE Transactions on Information Theory
(2020)
67,
598
(doi: 10.1109/tit.2020.3030842)
Communicating personalised risks from COVID-19: guidelines from an empirical study
ALJ Freeman, J Kerr, G Recchia, CR Schneider, ACE Lawrence, L Finikarides, G Luoni, S Dryhurst, DJ Spiegelhalter
(2020)
2020.10.05.20206961
(doi: 10.1101/2020.10.05.20206961)
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
Q Zhao, N Ju, S Bacallado, RD Shah
(2020)
(link to publication)
Consistent Inversion of NoisyNon-Abelian X-RayTransforms
F Monard, R Nickl, GP Paternain
– Communications on Pure and Applied Mathematics
(2020)
74,
1045
(doi: 10.1002/cpa.21942)
Use of "normal" risk to improve understanding of dangers of covid-19.
D Spiegelhalter
– BMJ (Clinical research ed.)
(2020)
370,
m3259
(doi: 10.1136/bmj.m3259)
Representation and reconstruction of covariance operators in linear inverse problems
E Lila, S Arridge, JAD Aston
– Inverse Problems
(2020)
36,
085002
(doi: 10.1088/1361-6420/ab8713)
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem
M Giordano, R Nickl
– Inverse Problems
(2020)
36,
085001
(doi: 10.1088/1361-6420/ab7d2a)

Frontpage talks

Probability
Anirban Basak (ICTS, Tata Institute)
Statistics
Botond Szabo (Bocconi University)
17
Feb
14:00 - 15:00: Tba
Probability
Erwin Bolthausen (Universität Zürich)
18
Feb
16:30 - 18:00: Statistics Clinic Lent 2026 III
Cambridge Statistics Clinic
Speaker to be confirmed
Statistics
Chiara Amorino (Universitat Pompeu Fabra)

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