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  • Currently displaying 461 - 480 of 2050 publications
First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation
D Brout, D Scolnic, R Kessler, CB D'Andrea, TM Davis, RR Gupta, SR Hinton, AG Kim, J Lasker, C Lidman, E Macaulay, A Möller, RC Nichol, M Sako, M Smith, M Sullivan, B Zhang, P Andersen, J Asorey, A Avelino, BA Bassett, P Brown, J Calcino, D Carollo, P Challis, M Childress, A Clocchiatti, AV Filippenko, RJ Foley, L Galbany, K Glazebrook, JK Hoormann, E Kasai, RP Kirshner, K Kuehn, S Kuhlmann, GF Lewis, KS Mandel, M March, V Miranda, E Morganson, D Muthukrishna, P Nugent, A Palmese, YC Pan, R Sharp, NE Sommer, E Swann, RC Thomas, BE Tucker, SA Uddin, W Wester, TMC Abbott, S Allam, J Annis, S Avila, K Bechtol, GM Bernstein, E Bertin, D Brooks, DL Burke, AC Rosell, MC Kind, J Carretero, FJ Castander, CE Cunha, LN Da Costa, C Davis, J De Vicente, DL Depoy, S Desai, HT Diehl, P Doel, A Drlica-Wagner, TF Eifler, J Estrada, E Fernandez, B Flaugher, P Fosalba, J Frieman, J García-Bellido, D Gruen, RA Gruendl, G Gutierrez, WG Hartley, DL Hollowood, K Honscheid, B Hoyle, DJ James, M Jarvis, T Jeltema, E Krause, O Lahav, TS Li, M Lima, MAG Maia, J Marriner, JL Marshall, P Martini, F Menanteau
– Astrophysical Journal
(2019)
874,
150
(doi: 10.3847/1538-4357/ab08a0)
Publisher Correction: Accurate autocorrelation modeling substantially improves fMRI reliability.
W Olszowy, J Aston, C Rua, GB Williams
– Nature communications
(2019)
10,
1511
(doi: 10.1038/s41467-019-09619-7)
The Art of Statistics Learning from Data
D Spiegelhalter
(2019)
Denoising line edge roughness measurements using Hidden Markov Models
G Papavieros, I Kontoyiannis, V Constantoudis, E Gogolides
– Metrology, Inspection, and Process Control for Microlithography XXXIII
(2019)
10959,
112
(doi: 10.1117/12.2523422)
Accurate autocorrelation modeling substantially improves fMRI reliability
W Olszowy, J Aston, C Rua, GB Williams
– Nature communications
(2019)
10,
1220
(doi: 10.1038/s41467-019-09230-w)
First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters
TMC Abbott, S Allam, P Andersen, C Angus, J Asorey, A Avelino, S Avila, BA Bassett, K Bechtol, GM Bernstein, E Bertin, D Brooks, D Brout, P Brown, DL Burke, J Calcino, AC Rosell, D Carollo, MC Kind, J Carretero, R Casas, FJ Castander, R Cawthon, P Challis, M Childress, A Clocchiatti, CE Cunha, CB D’Andrea, LN da Costa, C Davis, TM Davis, J De Vicente, DL DePoy, S Desai, HT Diehl, P Doel, A Drlica-Wagner, TF Eifler, AE Evrard, E Fernandez, AV Filippenko, DA Finley, B Flaugher, RJ Foley, P Fosalba, J Frieman, L Galbany, J García-Bellido, E Gaztanaga, T Giannantonio, K Glazebrook, DA Goldstein, S González-Gaitán, D Gruen, RA Gruendl, J Gschwend, RR Gupta, G Gutierrez, WG Hartley, SR Hinton, DL Hollowood, K Honscheid, JK Hoormann, B Hoyle, DJ James, T Jeltema, MWG Johnson, MD Johnson, E Kasai, S Kent, R Kessler, AG Kim, RP Kirshner, E Kovacs, E Krause, R Kron, K Kuehn, S Kuhlmann, N Kuropatkin, O Lahav, J Lasker, GF Lewis, TS Li, C Lidman, M Lima, H Lin, E Macaulay, MAG Maia, KS Mandel, M March, J Marriner, JL Marshall, P Martini, F Menanteau, CJ Miller, R Miquel, V Miranda, JJ Mohr, E Morganson, D Muthukrishna, A Möller, E Neilsen, RC Nichol, B Nord, P Nugent, RLC Ogando, A Palmese, Y-C Pan, AA Plazas, M Pursiainen, AK Romer, A Roodman, E Rozo, ES Rykoff, M Sako, E Sanchez, V Scarpine, R Schindler, M Schubnell, D Scolnic, S Serrano, I Sevilla-Noarbe, R Sharp, M Smith, M Soares-Santos, F Sobreira, NE Sommer, H Spinka, E Suchyta, M Sullivan, E Swann, G Tarle, D Thomas, RC Thomas, MA Troxel, BE Tucker, SA Uddin, AR Walker, W Wester, P Wiseman, RC Wolf, B Yanny, B Zhang, Y Zhang
– Astrophysical Journal Letters
(2019)
872,
L30
(doi: 10.3847/2041-8213/ab04fa)
A data-centric bottom up model for generation of stochastic internal load profiles based on space-use type
R Ward, R Choudhary, Y Heo, J Aston
– Journal of Building Performance Simulation
(2019)
12,
620
(doi: 10.1080/19401493.2019.1583287)
Cut-off for lamplighter chains on tori: dimension interpolation and phase transition
A Dembo, J Ding, JP Miller, Y Peres
– Probability Theory and Related Fields
(2019)
173,
605
(doi: 10.1007/s00440-018-0883-4)
Comment: Will Competition-Winning Methods for Causal Inference Also Succeed in Practice?
Q Zhao, LJ Keele, DS Small
– Statistical Science
(2019)
34,
72
(doi: 10.1214/18-sts680)
Permutation $p$-value approximation via generalized Stolarsky invariance
HY He, K Basu, Q Zhao, AB Owen
– The Annals of Statistics
(2019)
47,
583
(doi: 10.1214/18-AOS1702)
Falsification Tests for Instrumental Variable Designs With an Application to Tendency to Operate
L Keele, Q Zhao, RR Kelz, D Small
– Medical Care
(2019)
57,
167
(doi: 10.1097/MLR.0000000000001040)
Convergence of the free Boltzmann quadrangulation with simple boundary to the Brownian disk
E Gwynne, J Miller
– Annales de l'institut Henri Poincare (B) Probability and Statistics
(2019)
55,
551
(doi: 10.1214/18-AIHP891)
Efficient multivariate entropy estimation via $k$-nearest neighbour distances
TB Berrett, RJ Samworth, M Yuan
– Annals of Statistics
(2019)
47,
288
(doi: 10.1214/18-aos1688)
A conversation with dick dudley
V Koltchinskii, R Nickl, P Rigollet
– Statistical Science
(2019)
34,
169
(doi: 10.1214/18-sts678)
Multicentre study of physical abuse and limb fractures in young children in the East Anglia Region, UK.
PD Mitchell, R Brown, T Wang, RD Shah, RJ Samworth, S Deakin, P Edge, I Hudson, R Hutchinson, K Stohr, M Latimer, R Natarajan, S Qasim, A Rehm, A Sanghrajka, E Tissingh, GM Wright
– Archives of disease in childhood
(2019)
104,
956
(doi: 10.1136/archdischild-2018-315035)
Covariate balancing propensity score by tailored loss functions
Q Zhao
– The Annals of Statistics
(2019)
47,
965
(doi: 10.1214/18-aos1698)
Uncertainty Quantification for Matrix Compressed Sensing and Quantum Tomography Problems
A Carpentier, J Eisert, D Gross, R Nickl
(2019)
74,
385
(doi: 10.1007/978-3-030-26391-1_18)
Trust in numbers
DJ Spiegelhalter
(2019)
4
(link to publication)
Bernstein-von Mises theorems for statistical inverse problems II: compound Poisson processes
R Nickl, J Söhl
– Electronic Journal of Statistics
(2019)
13,
3513
(doi: 10.1214/19-EJS1609)
Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption
J Bowden, F Del Greco M, C Minelli, Q Zhao, DA Lawlor, NA Sheehan, J Thompson, G Davey Smith
– International Journal of Epidemiology
(2018)
48,
728
(doi: 10.1093/ije/dyy258)

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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