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  • Currently displaying 461 - 480 of 2051 publications
Efficient nonparametric Bayesian inference for $X$-ray transforms
F Monard, R Nickl, GP Paternain
– Annals of Statistics
(2019)
47,
1113
(doi: 10.1214/18-AOS1708)
Accurate autocorrelation modeling substantially improves fMRI reliability (vol 10, 1220, 2019)
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
– Proceedings of SPIE the International Society for Optical Engineering
(2019)
10959,
109592z-109592z-8
(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
– The 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)
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
– Med Care
(2019)
57,
167
(doi: 10.1097/MLR.0000000000001040)
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)
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)
A conversation with dick dudley
V Koltchinskii, R Nickl, P Rigollet
– Statistical Science
(2019)
34,
169
(doi: 10.1214/18-STS678)
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)
Multi-centre study of non-accidental injury 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
– Arch Dis Child
(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)
Probability
Erwin Bolthausen (Zurich)
18
Feb
16:30 - 18:00: Statistics Clinic Lent 2026 III
Cambridge Statistics Clinic
Speaker to be confirmed

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