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Currently displaying 141 - 160 of 2119 publications

Energy and transport research towards net zero targets and climate change mitigation. A systematic review of evidence communication for policy makers.

E Danopoulos, A Shah, CR Schneider, J Aston

(2024)

(doi: 10.31235/osf.io/k4ujg)

High-probability minimax lower bounds

T Ma, KA Verchand, RJ Samworth

(2024)

(link to publication)

Percolation critical probabilities of matching lattice-pairs

GR Grimmett, Z Li

– Random structures & algorithms (Print)

(2024)

65,

832

(doi: 10.1002/rsa.21226)

Calibrated prediction of scarce adverse drug reaction labels with conditional neural processes

M Garcia-Ortegon, S Seal, S Singh, A Bender, S Bacallado

(2024)

(doi: 10.1101/2024.06.07.598036)

Modelling hepatitis C infection acquired from blood transfusions in the UK between 1970 and 1991 for the Infected Blood Inquiry.

S Hayes, R McCabe, D De Angelis, CA Donnelly, SJW Evans, GF Medley, DJ Spiegelhalter, SM Bird

– Royal Society Open Science

(2024)

11,

231722

(doi: 10.1098/rsos.231722)

Proposers of the vote of thanks to Crane and Xu and contribution to the Discussion of 'Root and community inference on the latent growth process of a network'

V Jog, P-L Loh

– Journal of the Royal Statistical Society Series B Statistical Methodology

(2024)

86,

866

(doi: 10.1093/jrsssb/qkae043)

The role of medical schools in UK students’ career intentions: findings from the AIMS study

T Ferreira, AM Collins, A Handscomb, D Al-Hashimi, AIMS Collaborative

– BMC medical education

(2024)

24,

604

(doi: 10.1186/s12909-024-05366-6)

Nonparametric regression on random geometric graphs sampled from submanifolds

P Rosa, J Rousseau

(2024)

(link to publication)

Finite-sample expansions for the optimal error probability in asymmetric binary hypothesis testing

V Lungu, I Kontoyiannis

(2024)

(doi: 10.48550/arxiv.2404.09605)

Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning.

T Wang, E Dobriban, M Gataric, R Samworth

– J Am Stat Assoc

(2024)

120,

395

(doi: 10.1080/01621459.2024.2340792)

Selective Randomization Inference for Adaptive Experiments

T Freidling, Q Zhao, Z Gao

(2024)

(link to publication)

Sandwich boosting for accurate estimation in partially linear models for grouped data

EH Young, RD Shah

– Journal of the Royal Statistical Society Series B Statistical Methodology

(2024)

86,

1286

(doi: 10.1093/jrsssb/qkae032)

Challenges in the Assessment of a Disease Model in the NICE Single Technology Appraisal of Tirzepatide for Treating Type 2 Diabetes: An External Assessment Group Perspective

M Scholte, B Ramaekers, E Danopoulos, SE Grimm, A Fernandez Coves, X Tian, T Debray, J Chen, L Stirk, R Croft, M Joore, N Armstrong

– Pharmacoeconomics

(2024)

42,

829

(doi: 10.1007/s40273-024-01394-8)

Scalable hierarchical BayeSN inference: investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift

M Grayling, S Thorp, KS Mandel, S Dhawan, ASM Uzsoy, BM Boyd, EE Hayes, SM Ward

– Monthly Notices of the Royal Astronomical Society

(2024)

531,

953

(doi: 10.1093/mnras/stae1202)

Correcting for confounding in longitudinal experiments: positioning non-linear mixed effects modeling as implementation of standardization using latent conditional exchangeability

C Bartels, M Scauda, N Coello, T Dumortier, B Bornkamp, G Moffa

(2024)

(link to publication)

A new computational framework for log-concave density estimation

W Chen, R Mazumder, RJ Samworth

– Mathematical Programming Computation

(2024)

16,

185

(doi: 10.1007/s12532-024-00252-0)

GAUSSN: Bayesian time-delay estimation for strongly lensed supernovae

EE Hayes, S Thorp, KS Mandel, N Arendse, M Grayling, S Dhawan