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Number of items: 170.
A
Adamson, A;
Portas, L;
Accordini, S;
Marcon, A;
Jarvis, D;
Baio, G;
Minelli, C;
(2022)
Communication of personalised disease risk by general practitioners to motivate smoking cessation in England: A cost-effectiveness and research prioritisation study.
Addiction
, 117
(5)
pp. 1438-1449.
10.1111/add.15773.
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Adeleke, M;
Baio, G;
O'Keeffe, A;
(2022)
Regression discontinuity designs for time-to-event outcomes: An approach using accelerated failure time models.
Journal of the Royal Statistical Society Series A: Statistics in Society
, 185
(3)
pp. 1216-1246.
10.1111/rssa.12812.
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Alexopoulos, Angelos;
Dellaportas, Petros;
Titsias, Michalis K;
(2022)
Variance Reduction for Metropolis-Hastings Samplers.
Statistics and Computing
, 33
, Article 6. 10.1007/s11222-022-10183-2.
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Aminian, Gholamali;
Vega, Roberto;
Rivasplata, Omar;
Toni, Laura;
Rodrigues, Miguel;
(2022)
Semi-Counterfactual Risk Minimization Via Neural Networks.
In:
Proceedings of the 15th European Workshop on Reinforcement Learning (EWRL 2022).
(pp. pp. 1-20).
European Workshop on Reinforcement Learning
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An, S;
Liao, Q;
Lu, Z;
Xue, J-H;
(2022)
Efficient Semantic Segmentation via Self-Attention and Self-Distillation.
IEEE Transactions on Intelligent Transportation Systems
10.1109/tits.2021.3139001.
(In press).
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Argiento, R;
De Iorio, M;
(2022)
Is infinity that far? A Bayesian nonparametric perspective of finite mixture models.
Annals of Statistics
, 50
(5)
pp. 2641-2663.
10.1214/22-AOS2201.
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Avraam, Demetris;
Jones, Elinor;
Burton, Paul;
(2022)
A deterministic approach for protecting privacy in sensitive personal data.
BMC Medical Informatics and Decision Making
, 22
(1)
, Article 24. 10.1186/s12911-022-01754-4.
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B
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Bakalos, Nikolaos;
Kaselimi, Maria;
Doulamis, Nikolaos;
Doulamis, Anastasios;
Kalogeras, Dimitrios;
Bimpas, Mathaios;
Davradou, Agapi;
... Rossi, Luca; + view all
(2022)
STAMINA: Bioinformatics Platform for Monitoring and Mitigating Pandemic Outbreaks.
Technologies
, 10
(3)
, Article 63. 10.3390/technologies10030063.
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Barnes, Clair;
(2022)
Bayesian Post-Processing of Multi-Model Ensemble Forecasts.
Doctoral thesis (Ph.D), UCL (University College London).
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Beskos, A;
Kamatani, K;
(2022)
MCMC Algorithms for Posteriors on Matrix Spaces.
Journal of Computational and Graphical Statistics
, 31
(3)
pp. 721-738.
10.1080/10618600.2022.2058953.
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Boom, Willem van den;
Beskos, Alexandros;
Iorio, Maria De;
(2022)
The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models.
Journal of Computational and Graphical Statistics
, 31
(4)
pp. 1215-1224.
10.1080/10618600.2022.2050250.
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Boom, Willem van den;
De Iorio, Maria;
Beskos, Alexandros;
(2022)
Bayesian Learning of Graph Substructures.
Bayesian Analysis
10.1214/22-BA1338.
(In press).
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Boom, Willem van den;
Jasra, Ajay;
De Iorio, Maria;
Beskos, Alexandros;
Eriksson, Johan G;
(2022)
Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo.
Statistics and Computing
, 32
, Article 36. 10.1007/s11222-022-10093-3.
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Buckman, JEJ;
Saunders, R;
Arundell, L-L;
Oshinowo, ID;
Cohen, ZD;
O'Driscoll, C;
Barnett, P;
... Pilling, S; + view all
(2022)
Life events and treatment prognosis for depression: A systematic review and individual patient data meta-analysis.
Journal of Affective Disorders
, 299
pp. 298-308.
10.1016/j.jad.2021.12.030.
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Buxton, A;
Diana, A;
Matechou, E;
Griffin, J;
Griffiths, RA;
(2022)
Reliability of environmental DNA surveys to detect pond occupancy by newts at a national scale.
Scientific Reports
, 12
, Article 1295. 10.1038/s41598-022-05442-1.
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C
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Caron, A;
Baio, G;
Manolopoulou, I;
(2022)
Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation.
Journal of Computational and Graphical Statistics
10.1080/10618600.2022.2067549.
(In press).
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Caron, A;
Manolopoulou, I;
Baio, G;
(2022)
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review.
Journal of the Royal Statistical Society: Series A (Statistics in Society)
10.1111/rssa.12824.
(In press).
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Caron, Alberto;
Baio, Gianluca;
Manolopoulou, Ioanna;
(2022)
Counterfactual Learning with Multioutput Deep Kernels.
Transactions of Machine Learning Research
, 2022
(11)
, Article 235.
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Caron, Alberto;
Baio, Gianluca;
Manolopoulou, Ioanna;
(2022)
Interpretable Deep Causal Learning for Moderation Effects.
arXiv
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Castro-Gutierrez, Victor;
Hassard, Francis;
Vu, Milan;
Leitao, Rodrigo;
Burczynska, Beata;
Wildeboer, Dirk;
Stanton, Isobel;
... Di Cesare, Mariachiara; + view all
(2022)
Monitoring occurrence of SARS-CoV-2 in school populations: A wastewater-based approach.
PLoS One
, 17
(6)
, Article e0270168. 10.1371/journal.pone.0270168.
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Catto, James WF;
Khetrapal, Pramit;
Ambler, Gareth;
(2022)
Effect of Robot-Assisted Radical Cystectomy vs Open Radical Cystectomy on 90-Day Morbidity and Mortality Among Patients With Bladder Cancer—Reply.
Journal of the American Medical Association
, 328
(12)
p. 1258.
10.1001/jama.2022.13600.
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Catto, James WF;
Khetrapal, Pramit;
Ricciardi, Federico;
Ambler, Gareth;
Williams, Norman R;
Al-Hammouri, Tarek;
Khan, Muhammad Shamim;
... iROC Study Team; + view all
(2022)
Effect of Robot-Assisted Radical Cystectomy With Intracorporeal Urinary Diversion vs Open Radical Cystectomy on 90-Day Morbidity and Mortality Among Patients With Bladder Cancer: A Randomized Clinical Trial.
Jounal of the American Medical Association
10.1001/jama.2022.7393.
(In press).
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Chen, Jiacheng;
Gao, Bin-Bin;
Lu, Zongqing;
Xue, Jing-Hao;
Wang, Chengjie;
Liao, Qingmin;
(2022)
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation.
IEEE Transactions on Multimedia
10.1109/tmm.2022.3174405.
(In press).
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Chen, Y;
Wang, T;
Samworth, R;
(2022)
High-dimensional, multiscale online changepoint detection.
Journal of the Royal Statistical Society Series B: Statistical Methodology
10.1111/rssb.12447.
(In press).
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Chilinski, Pawel;
(2022)
Cumulative Distribution Functions As The Foundation For Probabilistic Models.
Doctoral thesis (Ph.D), UCL (University College London).
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Cipriani, Alessandra;
Hirsch, Christian;
Vittorietti, Martina;
(2022)
Topology-based goodness-of-fit tests for sliced spatial data.
Computational Statistics & Data Analysis
, Article 107655. 10.1016/j.csda.2022.107655.
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Clivio, Oscar;
Falck, Fabian;
Lehmann, Brieuc;
Deligiannidis, George;
Holmes, Chris;
(2022)
Neural Score Matching for High-Dimensional Causal Inference.
In: Camps-Valls, G and Ruiz, FJR and Valera, I, (eds.)
Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022.
(pp. pp. 1-35).
PMLR
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Cooles, Faye AH;
Tarn, Jessica;
Lendrem, Dennis W;
Naamane, Najib;
Lin, Chung Ma;
Millar, Ben;
Maney, Nicola J;
... Isaacs, John D; + view all
(2022)
Interferon-α-mediated therapeutic resistance in early rheumatoid arthritis implicates epigenetic reprogramming.
Annals of the Rheumatic Diseases
10.1136/annrheumdis-2022-222370.
(In press).
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Coullon, J;
Pokern, Y;
(2022)
Markov chain Monte Carlo for a hyperbolic Bayesian inverse problem in traffic flow modeling.
Data-Centric Engineering
, 3
, Article e4. 10.1017/dce.2022.3.
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D
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Daskalakis, C;
Dellaportas, P;
Panos, A;
(2022)
How Good are Low-Rank Approximations in Gaussian Process Regression?
In:
Proceedings of 36th AAAI conference on Artificial intelligence.
(pp. pp. 6463-6470).
AAAI (Association for the Advancement of Artificial Intelligence): Palo Alto, CA, USA.
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Dellaporta, Charita;
Knoblauch, Jeremias;
Damoulas, Theodoros;
Briol, François-Xavier;
(2022)
Robust Bayesian Inference for Simulator-based Models via the MMD
Posterior Bootstrap.
In:
AISTATS 2022 Accepted Papers.
AISTATS
(In press).
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Dellaportas, P;
Alexopoulos, A;
Papaspiliopoulos, O;
(2022)
Bayesian prediction of jumps in large panels of time series data.
Bayesian Analysis
10.1214/21-BA1268.
(In press).
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DiazOrdaz, K;
(2022)
Discussion on: Instrumented difference-in-differences, by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy and Dylan S. Small.
Biometrics
10.1111/biom.13785.
(In press).
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Dogucu, Mine;
Çetinkaya-Rundel, Mine;
(2022)
Tools and Recommendations for Reproducible Teaching.
Journal of Statistics and Data Science Education
, 30
(3)
pp. 251-260.
10.1080/26939169.2022.2138645.
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Dogucu, Mine;
Johnson, Alicia;
(2022)
Supporting Bayesian Modeling With Visualizations.
In:
Proceedings of the 11th International Conference on Teaching Statistics (ICOTS11 2022).
International Association for Statistical Education: Rosario, Argentina.
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E
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Ehara, Ayao;
Salmanidou, Dimitra M;
Heidarzadeh, Mohammad;
Guillas, Serge;
(2022)
Multi-level emulation of tsunami simulations over Cilacap, South Java, Indonesia.
Computational Geosciences
10.1007/s10596-022-10183-1.
(In press).
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Enne, Virve I;
Aydin, Alp;
Baldan, Rossella;
Owen, Dewi R;
Richardson, Hollian;
Ricciardi, Federico;
Russell, Charlotte;
... INHALE WP1 Study Group; + view all
(2022)
Multicentre evaluation of two multiplex PCR platforms for the rapid microbiological investigation of nosocomial pneumonia in UK ICUs: the INHALE WP1 study.
Thorax
10.1136/thoraxjnl-2021-216990.
(In press).
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F
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Fabbri, Camilla;
Powell-Jackson, Timothy;
Leurent, Baptiste;
Rodrigues, Katherine;
Shayo, Elizabeth;
Barongo, Vivien;
Devries, Karen M;
(2022)
School violence, depression symptoms, and school climate: a cross-sectional study of Congolese and Burundian refugee children.
Conflict and Health
, 16
, Article 42. 10.1186/s13031-022-00475-9.
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Filippou, P;
Marra, G;
Radice, R;
Zimmer, D;
(2022)
Estimating the Impact of Medical Care Usage on Work Absenteeism by a Trivariate Probit Model with Two Binary Endogenous Explanatory Variables.
AStA Advances in Statistical Analysis
10.1007/s10182-022-00464-6.
(In press).
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Follain, B;
Wang, T;
Samworth, RJ;
(2022)
High-dimensional changepoint estimation with heterogeneous missingness.
Journal of the Royal Statistical Society: Series B (Statistical Methodology)
, 84
(3)
pp. 1023-1055.
10.1111/rssb.12540.
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Fong, Edwin;
Lehmann, Brieuc;
(2022)
A Predictive Approach to Bayesian Nonparametric Survival Analysis.
In: Camps-Valls, G and Ruiz, FJR and Valera, I, (eds.)
Proceedings of The 25th International Conference on Artificial Intelligence and Statistics.
(pp. pp. 6990-7013).
PMLR 151
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Franzolini, Beatrice;
Beskos, Alexandros;
Iorio, Maria De;
Koziell, Warrick Poklewski;
Grzeszkiewicz, Karolina;
(2022)
Change point detection in dynamic Gaussian graphical models: the impact
of COVID-19 pandemic on the US stock market.
arXiv: Ithaca, NY, USA.
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Fukui, Kazuhiro;
Sogi, Naoya;
Kobayashi, Takumi;
Xue, Jing-Hao;
Maki, Atsuto;
(2022)
Discriminant feature extraction by generalized difference subspace.
IEEE Transactions on Pattern Analysis and Machine Intelligence
10.1109/tpami.2022.3168557.
(In press).
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G
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Gabrio, A;
Gunsoy, NB;
Baio, G;
Martin, A;
Paly, VF;
Risebrough, N;
Halpin, DMG;
... Ismaila, AS; + view all
(2022)
Single-Inhaler Triple Therapy in Patients with Advanced COPD: Bayesian Modeling of the Healthcare Resource Utilization Data and Associated Costs from the IMPACT Trial.
International Journal of COPD
, 17
pp. 1633-1642.
10.2147/COPD.S342244.
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Ghione, Paola;
Palomba, M Lia;
Ghesquieres, Hervé;
Bobillo, Sabela;
Patel, Anik R;
Nahas, Myrna;
Kanters, Steve;
... Gribben, John; + view all
(2022)
Treatment patterns and outcomes in relapsed/refractory follicular lymphoma: results from the international SCHOLAR-5 study.
Haematologica
10.3324/haematol.2022.281421.
(In press).
|
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Ghione, Paola;
Palomba, M Lia;
Patel, Anik R;
Bobillo, Sabela;
Deighton, Kevin;
Jacobson, Caron A;
Nahas, Myrna;
... Gribben, John G; + view all
(2022)
Comparative effectiveness of ZUMA-5 (axi-cel) vs SCHOLAR-5 external control in relapsed/refractory follicular lymphoma.
Blood
, 140
(8)
pp. 851-860.
10.1182/blood.2021014375.
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Giles, Daniel;
Gailler, Audrey;
Dias, Frédéric;
(2022)
Automated Approaches for Capturing Localized Tsunami Response—Application to the French Coastlines.
Journal of Geophysical Research: Oceans
, 127
(6)
, Article e2022JC018467. 10.1029/2022jc018467.
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Gomes, Manuel;
Latimer, Nick;
Soares, Marta;
Dias, Sofia;
Baio, Gianluca;
Freemantle, Nick;
Dawoud, Dalia;
... Grieve, Richard; + view all
(2022)
Target Trial Emulation for Transparent and Robust Estimation of Treatment Effects for Health Technology Assessment Using Real-World Data: Opportunities and Challenges.
PharmacoEconomics
, 40
pp. 577-586.
10.1007/s40273-022-01141-x.
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Graham, Matthew M.;
Thiery, Alexandre H.;
Beskos, Alexandros;
(2022)
Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models.
Journal of the Royal Statistical Society: Series B (Statistical Methodology)
, 84
(4)
pp. 1229-1256.
10.1111/rssb.12497.
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Green, Nathan;
Agossa, Fiacre;
Yovogan, Boulais;
Oxborough, Richard;
Kitau, Jovin;
Muller, Pie;
Constant, Edi;
... Sherrard-Smith, Ellie; + view all
(2022)
An evidence synthesis approach for combining different data sources illustrated using entomological efficacy of insecticides for indoor residual spraying.
PloS One
, 17
(3)
, Article e0263446. 10.1371/journal.pone.0263446.
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Green, Nathan;
Heath, Anna;
Baio, Gianluca;
(2022)
BCEA: An R Package for Cost-Effectiveness Analysis.
Journal of Open Source Software
, 7
(77)
, Article 4206. 10.21105/joss.04206.
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Grey, Alistair DR;
Scott, Rebecca;
Shah, Bina;
Acher, Peter;
Liyanage, Sidath;
Pavlou, Menelaos;
Omar, Rumana;
... Ahmed, Hashim U; + view all
(2022)
Multiparametric ultrasound versus multiparametric MRI to diagnose prostate cancer (CADMUS): a prospective, multicentre, paired-cohort, confirmatory study.
The Lancet Oncology
, 23
(3)
pp. 428-438.
10.1016/S1470-2045(22)00016-X.
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Griffin, James;
Hinoveanu, Laurentiu;
Hopker, James;
(2022)
Bayesian modelling of elite sporting performance with large databases.
Journal of Quantitative Analysis in Sports
, 18
(4)
pp. 253-267.
10.1515/jqas-2021-0112.
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Groner, V;
Nicholas, O;
Mabhaudhi, T;
Slotow, R;
Akçakaya, HR;
Mace, GM;
Pearson, R;
(2022)
Climate change, land cover change, and overharvesting threaten a widely used medicinal plant in South Africa.
Ecological Applications
, 32
(4)
, Article e2545. 10.1002/eap.2545.
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H
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Hallgren, Fredrik;
(2022)
Kernel PCA and the Nyström method.
Doctoral thesis (Ph.D), UCL ( University College London).
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Hardcastle, Luke;
Livingstone, Samuel;
Black, Claire;
Ricciardi, Federico;
Baio, Gianluca;
(2022)
A Bayesian hierarchical model for improving exercise rehabilitation in mechanically ventilated ICU patients.
ArXiv: Ithaca, NY, USA.
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Hatswell, Anthony;
(2022)
Smaller science company? Tailor your CV for a manager, not HR.
Nature
10.1038/d41586-022-00557-x.
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Hatswell, Anthony J;
Deighton, Kevin;
Snider, Julia Thornton;
Brookhart, M Alan;
Faghmous, Imi;
Patel, Anik R;
(2022)
Approaches to Selecting "Time Zero" in External Control Arms with Multiple Potential Entry Points: A Simulation Study of 8 Approaches.
Medical Decision Making
, 42
(7)
pp. 893-905.
10.1177/0272989X221096070.
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Heslin, Margaret;
Jin, Huajie;
Trevillion, Kylee;
Ling, Xiaoxiao;
Nath, Selina;
Barrett, Barbara;
Demilew, Jill;
... Byford, Sarah; + view all
(2022)
Cost-effectiveness of screening tools for identifying depression in early pregnancy: a decision tree model.
BMC Health Services Research
, 22
(1)
, Article 774. 10.1186/s12913-022-08115-x.
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Hird, M;
Livingstone, S;
Zanella, G;
(2022)
A fresh take on 'Barker dynamics' for MCMC.
In:
Monte Carlo and Quasi-Monte Carlo Methods.
(pp. pp. 169-184).
Springer Nature: Cham, Switzerland.
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Honnor, Thomas;
Abourashchi, Niloufar;
Rassias, Matina;
(2022)
Empowering Non-specialists to Interpret and Disseminate Statistics Through Structured Assessments.
In:
Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics.
International Association for Statistical Education: Rosario, Argentina.
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Hostettler, IC;
Lange, N;
Schwendinger, N;
Ambler, G;
Hirle, T;
Frangoulis, S;
Trost, D;
... Wostrack, M; + view all
(2022)
VPS dependency after aneurysmal subarachnoid haemorrhage and influence of admission hyperglycaemia.
European Stroke Journal
10.1177/23969873221147087.
(In press).
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Husain, H;
Knoblauch, J;
(2022)
Adversarial Interpretation of Bayesian Inference.
In:
Proceedings of The 33rd International Conference on Algorithmic Learning Theory.
(pp. pp. 553-572).
Proceedings of Machine Learning Research (PMLR): Paris, France.
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I
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Iguchi, Yuga;
Beskos, Alexandros;
Graham, Matthew M;
(2022)
Parameter Estimation with Increased Precision for Elliptic and Hypo-elliptic Diffusions.
arXiv: Ithaca, NY, USA.
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Irwandi, Rizky A;
Kuswandani, Sandra O;
Harden, Simon;
Marletta, Debora;
D'Aiuto, Francesco;
(2022)
Circulating inflammatory cell profiling and periodontitis: A systematic review and meta-analysis.
Journal of Leukocyte Biology
, 111
(5)
pp. 1069-1096.
10.1002/JLB.5RU1021-524R.
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J
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Jackson, CH;
Baio, G;
Heath, A;
Strong, M;
Welton, NJ;
Wilson, ECF;
(2022)
Value of Information Analysis in Models to Inform Health Policy.
Annual Review of Statistics and Its Application
, 9
(2022)
10.1146/annurev-statistics-040120-010730.
(In press).
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Jackson, J;
Mitra, R;
Francis, B;
Dove, I;
(2022)
On Integrating the Number of Synthetic Data Sets m into the a priori Synthesis Approach.
In:
Privacy in Statistical Databases. PSD 2022.
(pp. pp. 205-219).
Springer International Publishing: Cham, Switzerland.
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Jaskari, Joel;
Sahlsten, Jaakko;
Damoulas, THEODOROS;
Knoblauch, Jeremias;
Sarkka, Simo;
Karkkainen, Leo;
Hietala, Kustaa;
(2022)
Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification.
IEEE Access
, 10
pp. 76669-76681.
10.1109/ACCESS.2022.3192024.
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Jendoubi, Takoua;
Abourashchi, Niloufar;
(2022)
Fostering Collaborative Learning Through Postgraduate Group Projects in Statistics Education.
In: Peters, Susan, (ed.)
Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics.
International Association for Statistical Education (IASE): Rosario, Argentina.
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Jersakova, Radka;
Lomax, James;
Hetherington, James;
Lehmann, Brieuc;
Nicholson, George;
Briers, Mark;
Holmes, Chris;
(2022)
Bayesian imputation of COVID-19 positive test counts for nowcasting under reporting lag.
Journal of the Royal Statistical Society: Series C (Applied Statistics)
, 71
(4)
pp. 834-860.
10.1111/rssc.12557.
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Jiang, Runqing;
Yan, Yan;
Xue, Jing-Hao;
Wang, Biao;
Wang, Hanzi;
(2022)
When Sparse Neural Network Meets Label Noise Learning: A Multistage Learning Framework.
IEEE Transactions on Neural Networks and Learning Systems
pp. 1-15.
10.1109/tnnls.2022.3188799.
(In press).
|
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Jones, E;
Palmer, T;
(2022)
A review of group-based methods for teaching statistics in higher education.
Teaching Mathematics and its Applications
, 41
(1)
pp. 69-86.
10.1093/teamat/hrab002.
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K
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Kaddour, Jean;
Linqing, Liu;
Silva, Ricardo;
Kusner, Matt;
(2022)
When Do Flat Minima Optimizers Work?
In:
NeurIPS Proceedings.
NeurIPS: New Orleans, LA, USA.
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Kanai, Ryuichi;
Kamogawa, Masashi;
Nagao, Toshiyasu;
Smith, Alan;
Guillas, Serge;
(2022)
Robust uncertainty quantification of the volume of tsunami ionospheric holes for the 2011 Tohoku-Oki earthquake: towards low-cost satellite-based tsunami warning systems.
Natural Hazards and Earth System Sciences
, 22
(3)
pp. 849-868.
10.5194/nhess-22-849-2022.
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Kayyali El-Alem, Yara;
Maier, Sebastian;
Seifert, Ralf W;
(2022)
A machine learning-based framework for forecasting sales of new products with short life cycles using deep neural networks.
International Journal of Forecasting
10.1016/j.ijforecast.2022.09.005.
(In press).
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Keeney, Edna;
Memtsa, Maria;
Goodhart, Venetia;
Jurkovic, Davor;
Ambler, Gareth;
Khan, Nazim;
Round, Jeff;
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