Items where department is "Statistics"

University Structure (106206) LSE (106206) Academic Departments (62869) Statistics (1716)
Number of items: 95.
A
  • Anastasiou, Andreas, Cribben, Ivor, Fryzlewicz, Piotr (2022). Cross-covariance isolate detect: a new change-point method for estimating dynamic functional connectivity. Medical Image Analysis, 75, https://doi.org/10.1016/j.media.2021.102252 picture_as_pdf
  • Anastasiou, Andreas, Fryzlewicz, Piotr (2022). Detecting multiple generalized change-points by isolating single ones. Metrika, 85(2), 141 - 174. https://doi.org/10.1007/s00184-021-00821-6 picture_as_pdf
  • Aubin-Frankowski, Pierre-Cyril, Szabo, Zoltan (2022). Handling hard affine SDP shape constraints in RKHSs. Journal of Machine Learning Research, picture_as_pdf
  • Barreto, Mauricio L., Ichihara, Maria Yury, Pescarini, Julia M., Ali, M. Sanni, Borges, Gabriela L., Fiaccone, Rosemeire L., Ribeiro-Silva, Rita de Cássia, Teles, Carlos A., Almeida, Daniela & Sena, Samila et al (2022). Cohort profile: the 100 million Brazilian cohort. International Journal of Epidemiology, 51(2), e27 - e38. https://doi.org/10.1093/ije/dyab213 picture_as_pdf
  • Dadush, Daniel, Koh, Zhuan Khye, Natura, Bento, Végh, László A A. (2022). On circuit diameter bounds via circuit imbalances. In Aardal, Karen, Sanità, Laura (Eds.), Integer Programming and Combinatorial Optimization - 23rd International Conference, IPCO 2022, Proceedings (pp. 140 - 153). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-06901-7_11
  • Duarte, Belmiro P.M., Atkinson, Anthony C., Granjo, Jose F.O, Oliveira, Nuno M.C (2022). Optimal design of experiments for implicit models. Journal of the American Statistical Association, 117(539), 1424 - 1437. https://doi.org/10.1080/01621459.2020.1862670 picture_as_pdf
  • Duarte, Belmiro P.M., Atkinson, Anthony C., Oliveira, Nuno M.C (2022). Optimal designs for dose-escalation trials and individual allocations in cohorts. Statistics and Computing, 32(5). https://doi.org/10.1007/s11222-022-10158-3 picture_as_pdf
  • Klemmer, Konstantin, Xu, Tianlin, Acciaio, Beatrice, Neill, Daniel B. (2022). SPATE-GAN: improved generative modeling of dynamic spatio-temporal patterns with an autoregressive embedding loss. In AAAI-22 Technical Tracks 4 (pp. 4523-4531). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v36i4.20375
  • Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo, Farcomeni, Alessio, Laurini, Fabrizio (2022). Information criteria for outlier detection avoiding arbitrary significance levels. Econometrics and Statistics, https://doi.org/10.1016/j.ecosta.2022.02.002 picture_as_pdf
  • Riani, Marco, Atkinson, Anthony C., Torti, Francesca, Corbellini, Aldo (2022). Robust correspondence analysis. Journal of the Royal Statistical Society. Series C: Applied Statistics, 71(5), 1381-1401. https://doi.org/10.1111/rssc.12580 picture_as_pdf
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  • Bai, Yihang, Cao, Mengqiu, Wang, Ruoyu, Liu, Yuqi, Wang, Seunghyeon (2022). How street greenery facilitates active travel for university students. Journal of Transport and Health, 26, https://doi.org/10.1016/j.jth.2022.101393 picture_as_pdf
  • Bakk, Zsuzsa, Di Mari, Roberto, Oser, Jennifer, Kuha, Jouni (2022). Two-stage multilevel latent class analysis with covariates in the presence of direct effects. Structural Equation Modeling, 29(2), 267 - 277. https://doi.org/10.1080/10705511.2021.1980882 picture_as_pdf
  • Buccini, Gabriela, Coelho Kubo, Stefanie Eugênia Dos Anjos, Pedroso, Jéssica, Bertoldo, Juracy, Sironi, Alberto, Barreto, Marcos Ennes, Pérez‐escamilla, Rafael, Venancio, Sonia Isoyama, Gubert, Muriel Bauermann (2022). Sociodemographic inequities in nurturing care for early childhood development across Brazilian municipalities. Maternal and Child Nutrition, 18(S2). https://doi.org/10.1111/mcn.13232 picture_as_pdf
  • Buccini, Gabriela, Pedroso, Jéssica, Coelho, Stefanie, Ferreira De Castro, Gabriel, Bertoldo, Juracy, Sironi, Alberto, Gondim, Joao, Venancio, Sonia Isoyama, Pérez‐escamilla, Rafael & Barreto, Marcos Ennes et al (2022). Nurturing care indicators for the Brazilian Early Childhood Friendly Municipal Index (IMAPI). Maternal and Child Nutrition, 18(S2). https://doi.org/10.1111/mcn.13155 picture_as_pdf
  • Buccini, Gabriela, Pimentel, Juliana L., Pedroso, Jéssica, Coelho Kubo, Stefanie Eugênia Dos Anjos, Bertoldo, Juracy, Sironi, Alberto, Barreto, Marcos E., Pérez‐escamilla, Rafael, Gubert, Muriel B. (2022). Prioritizing nurturing care at the municipal and district level with the Brazilian Early Childhood Friendly Municipal Index (IMAPI). Maternal and Child Nutrition, 18(S2). https://doi.org/10.1111/mcn.13312 picture_as_pdf
  • Calais-Ferreira, Lucas, Barreto, Marcos, Mendonça, Everton, Dite, Gillian S, Hickey, Martha, Ferreira, Paulo H, Scurrah, Katrina J, L Hopper, John (2022). Birthweight, gestational age and familial confounding in sex differences in infant mortality: a matched co-twin control study of Brazilian male-female twin pairs identified by population data linkage. International Journal of Epidemiology, 51(5), 1502 - 1510. https://doi.org/10.1093/ije/dyab242 picture_as_pdf
  • Lambert, Alex, Bouche, Dimitri, Szabo, Zoltan, d'Alché-Buc, Florence (2022-07-17 - 2022-07-23) Functional Output Regression with Infimal Convolution: Exploring the Huber and ϵ-insensitive Losses [Paper]. International Conference on Machine Learning, Baltimore, MD, United States, USA. picture_as_pdf
  • Lambert, Alex, Bouche, Dimitri, Szabo, Zoltan, d'Alché-Buc, Florence (2022). Functional output regression with infimal convolution: exploring the Huber and ε-insensitive losses. Proceedings of Machine Learning Research, 162, 11844 - 1186. picture_as_pdf
  • Révelard, Adèle, Tintoré, Joaquín, Verron, Jacques, Bahurel, Pierre, Barth, John A., Belbéoch, Mathieu, Benveniste, Jérôme, Bonnefond, Pascal, Chassignet, Eric P. & Cravatte, Sophie et al (2022). Ocean integration: the needs and challenges of effective coordination within the ocean observing system. Frontiers in Marine Science, 8, https://doi.org/10.3389/fmars.2021.737671 picture_as_pdf
  • Sironi, Alberto Pietro, Bertoldo, Juracy, Sampaio, Vanderson, Coimbra, Danilo, Rasella, Davide, Barreto, Marcos Ennes (2022). Malaria-VisAnalytics: a tool for visual exploratory analysis of Brazilian public malaria data. Malaria Journal, 21(1). https://doi.org/10.1186/s12936-022-04248-w picture_as_pdf
  • Stenseth, Nils Chr, Tao, Yuxin, Zhang, Chutian, Bramanti, Barbara, Büntgen, Ulf, Cong, Xianbin, Cui, Yujun, Zhou, Hu, Dawson, Lorna A. & Mooney, Sacha J. et al (2022). No evidence for persistent natural plague reservoirs in historical and modern Europe. Proceedings of the National Academy of Sciences of the United States of America, 119(51). https://doi.org/10.1073/pnas.2209816119 picture_as_pdf
  • de Araujo, Jacyra Azevedo Paiva, Xavier, Érika Fialho Morais, Rodrigues, Elisângela da Silva, Machado, Daiane Borges, Barreto, Marcos E., Kanaan, Richard A., Barreto, Mauricio L., Castro-De-araujo, Luis Fernando Silva (2022). Main and moderated effects of multimorbidity and depressive symptoms on cognition. Brazilian Journal of Psychiatry, 44(6), 644 - 649. https://doi.org/10.47626/1516-4446-2022-2601 picture_as_pdf
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  • Caines, Peter, Mohammadi, Fatemeh, Sáenz-de-Cabezón, Eduardo, Wynn, Henry (2022). Lattice conditional independence models and Hibi ideals. Transactions of the London Mathematical Society, 9(1), 1 - 19. https://doi.org/10.1112/tlm3.12041 picture_as_pdf
  • Chang, Jinyuan, Cheng, Guanghui, Yao, Qiwei (2022). Testing for unit roots based on sample autocovariances. Biometrika, 109(2), 543 - 550. https://doi.org/10.1093/biomet/asab034 picture_as_pdf
  • Chang, Jinyuan, Kolaczyk, Eric D., Yao, Qiwei (2022). Estimation of subgraph densities in noisy networks. Journal of the American Statistical Association, 117(537), 361 - 374. https://doi.org/10.1080/01621459.2020.1778482 picture_as_pdf
  • Chen, Cathy Yi-hsuan, Okhrin, Yarema, Wang, Tengyao (2022). Monitoring network changes in social media. Journal of Business and Economic Statistics, 1-16. https://doi.org/10.1080/07350015.2021.2016425 picture_as_pdf
  • Chen, Cheng, Guo, Shaojun, Qiao, Xinghao (2022). Functional linear regression: dependence and error contamination. Journal of Business and Economic Statistics, 40(1), 444 - 457. https://doi.org/10.1080/07350015.2020.1832503 picture_as_pdf
  • Chen, Xi, Chen, Yunxiao, Li, Xiaoou (2022). Asymptotically optimal sequential design for rank aggregation. Mathematics of Operations Research, 47(3), 2310 - 2332. https://doi.org/10.1287/moor.2021.1209 picture_as_pdf
  • Chen, Yudong, Wang, Tengyao, Samworth, Richard J. (2022). High-dimensional, multiscale online changepoint detection. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(1), 234 - 266. https://doi.org/10.1111/rssb.12447 picture_as_pdf
  • Chen, Yunxiao, Lee, Yi-Hsuan, Li, Xiaoou (2022). Item pool quality control in educational testing: change point model, compound risk, and sequential detection. Journal of Educational and Behavioral Statistics, 47(3), 322 - 352. https://doi.org/10.3102/10769986211059085 picture_as_pdf
  • Chen, Yunxiao, Li, Xiaoou (2022). Determining the number of factors in high-dimensional generalized latent factor models. Biometrika, 109(3), 769 - 782. https://doi.org/10.1093/biomet/asab044 picture_as_pdf
  • Chen, Yunxiao, Lu, Yan, Moustaki, Irini (2022). Detection of two-way outliers in multivariate data and application to cheating detection in educational tests. Annals of Applied Statistics, 16(3), 1718 - 1746. https://doi.org/10.1214/21-AOAS1564 picture_as_pdf
  • Chen, Zezhun, Dassios, Angelos (2022). Cluster point processes and Poisson thinning INARMA. Stochastic Processes and Their Applications, 147, 456 - 480. https://doi.org/10.1016/j.spa.2022.02.002 picture_as_pdf
  • Chen, Zezhun, Dassios, Angelos, Tzougas, George (2022). EM estimation for the bivariate mixed exponential regression model. Risks, 10(5). https://doi.org/10.3390/risks10050105 picture_as_pdf
  • Chen, Zezhun, Dassios, Angelos, Tzougas, George (2022). Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression. Computational Statistics, https://doi.org/10.1007/s00180-022-01253-0 picture_as_pdf
  • Christensen, William F., Wall, Melanie M., Moustaki, Irini (2022). Assessing dimensionality in dichotomous items when many subjects have all-zero responses: an example from psychiatry and a solution using mixture models. Applied Psychological Measurement, 46(3), 167-184. https://doi.org/10.1177/01466216211066602 picture_as_pdf
  • De Vos, Jonas, Waygood, E. Owen D., Letarte, Laurence, Cao, Mengqiu (2022). Do frequent satisfying trips by public transport impact its intended use in later life? Transportation, 49(4), 1245 - 1263. https://doi.org/10.1007/s11116-021-10209-0 picture_as_pdf
  • Feng, Oliver Y., Chen, Yining, Han, Qiyang, Carroll, Raymond J, Samworth, Richard J. (2022). Nonparametric, tuning-free estimation of S-shaped functions. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(4), 1324 - 1352. https://doi.org/10.1111/rssb.12481 picture_as_pdf
  • Gao, Xing, Meng, Jing, Ling, Yantao, Liao, Maolin, Cao, Mengqiu (2022). Localisation economies, intellectual property rights protection and entrepreneurship in China: a Bayesian analysis of multi-level spatial correlation. Structural Change and Economic Dynamics, 61, 156 - 165. https://doi.org/10.1016/j.strueco.2022.02.009 picture_as_pdf
  • Gao, Xing, Wang, Zijia, Cao, Mengqiu, Liu, Yuqi, Zhang, Yuerong, Wu, Meiling, Qiu, Yue (2022). Neighbourhood satisfaction in rural resettlement residential communities: the case of Suqian, China. Housing Studies, 37(8), 1497 - 1518. https://doi.org/10.1080/02673037.2020.1853068 picture_as_pdf
  • Guastadisegni, Lucia, Cagnone, Silvia, Moustaki, Irini, Vasdekis, Vassilis (2022). Use of the Lagrange multiplier test for assessing measurement invariance under model misspecification. Educational and Psychological Measurement, 82(2), 254 - 280. https://doi.org/10.1177/00131644211020355 picture_as_pdf
  • Henderson, Alex, Cao, Mengqiu, Liu, Qihao (2022). Access-based consumption, behaviour change and future mobility: insights from visions of car sharing in Greater London. Future Transportation, 2(1), 216 - 236. https://doi.org/10.3390/futuretransp2010011 picture_as_pdf
  • Lu, Zexian, Chen, Yunxiao, Li, Xiaoou (2022). Optimal parallel sequential change detection under generalized performance measures. IEEE Transactions on Signal Processing, 70, 5967 - 5981. https://doi.org/10.1109/TSP.2022.3231521 picture_as_pdf
  • Natura, Bento, Neuwohner, Meike, Weltge, Stefan (2022). The Pareto cover problem. In Chechik, Shiri, Navarro, Gonzalo, Rotenberg, Eva, Herman, Grzegorz (Eds.), Leibniz International Proceedings in Informatics, LIPIcs . Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ESA.2022.80 picture_as_pdf
  • Ravipati, Kaushik, Chen, Yunxiao, Manns, Joseph R. (2022). Reassessing diabetes and APOE genotype as potential interacting risk factors for Alzheimer’s disease. American Journal of Alzheimer's Disease and other Dementias, 37, 1 - 10. https://doi.org/10.1177/15333175211070912 picture_as_pdf
  • Volodina, Victoria, Sonenberg, Nikki, Smith, Jim Q., Challenor, Peter G., Dent, Chris J., Wynn, Henry P. (2022). Propagating uncertainty in a network of energy models. In 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022 . IEEE. https://doi.org/10.1109/PMAPS53380.2022.9810635
  • Wang, Ruoyu, Cao, Mengqiu, Yao, Yao, Wu, Wenjie (2022). The inequalities of different dimensions of visible street urban green space provision: a machine learning approach. Land Use Policy, 123, https://doi.org/10.1016/j.landusepol.2022.106410 picture_as_pdf
  • Xia, Senmao, Ling, Yantao, de Main, Leanne, Lim, Ming K., Li, Gendao, Zhang, Peter, Cao, Mengqiu (2022). Creating a low carbon economy through green supply chain management: investigation of willingness-to-pay for green products from a consumer’s perspective. International Journal of Logistics Research and Applications, https://doi.org/10.1080/13675567.2022.2115988 picture_as_pdf
  • Zhang, Siliang, Chen, Yunxiao (2022). Computation for latent variable model estimation: a unified stochastic proximal framework. Psychometrika, 87(4), 1473 - 1502. https://doi.org/10.1007/s11336-022-09863-9 picture_as_pdf
  • Zhang, Yuerong, Cao, Mengqiu, Cheng, Long, Gao, Xing, De Vos, Jonas (2022). Exploring the temporal variations in accessibility to health services for older adults: a case study in Greater London. Journal of Transport and Health, 24, https://doi.org/10.1016/j.jth.2022.101334 picture_as_pdf
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  • Dassios, Angelos, Zhang, Junyi (2022). First hitting time of Brownian motion on simple graph with skew semiaxes. Methodology and Computing in Applied Probability, 24(3), 1805 - 1831. https://doi.org/10.1007/s11009-021-09884-4 picture_as_pdf
  • Dubiel-Teleszynski, Tomasz (2022). Bayesian sequential inference and machine learning applied to yield curve forecasting [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004471
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  • Fang, Qin (2022). High-dimensional functional data/time series analysis: finite-sample theory, adaptive functional thresholding and prediction [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004491
  • Fang, Qin, Guo, Shaojun, Qiao, Xinghao (2022). Finite sample theory for high-dimensional functional/scalar time series with applications. Electronic Journal of Statistics, 16(1), 527 - 591. https://doi.org/10.1214/21-EJS1960 picture_as_pdf
  • Follain, Bertille, Wang, Tengyao, Samworth, Richard J. (2022). High-dimensional changepoint estimation with heterogeneous missingness. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(3), 1023 - 1055. https://doi.org/10.1111/rssb.12540 picture_as_pdf
  • Fontana, Roberto, Rapallo, Fabio, Wynn, Henry P. (2022). Circuits for robust designs. Statistical Papers, 63(5), 1537-1560. https://doi.org/10.1007/s00362-021-01285-6 picture_as_pdf
  • Li, Yu-Ning, Li, Degui, Fryzlewicz, Piotr (2022). Detection of multiple structural breaks in large covariance matrices. Journal of Business and Economic Statistics, https://doi.org/10.1080/07350015.2022.2076686 picture_as_pdf
  • Yuen, Christine, Fryzlewicz, Piotr (2022). Exploiting disagreement between high-dimensional variable selectors for uncertainty visualization. Journal of Computational and Graphical Statistics, 31(2), 351 - 359. https://doi.org/10.1080/10618600.2021.2000421 picture_as_pdf
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  • Gao, Fengnan, Wang, Tengyao (2022). Two-sample testing of high-dimensional linear regression coefficients via complementary sketching. Annals of Statistics, https://doi.org/10.1214/22-AOS2216 picture_as_pdf
  • Giudice, Gianluca (2022). Nonlinear dynamic factor models [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004495
  • Li, Lexin, Shi, Chengchun, Guo, Tengfei, Jagust, William J. (2022). Sequential pathway inference for multimodal neuroimaging analysis. Stat, 11(1). https://doi.org/10.1002/sta4.433 picture_as_pdf
  • Park, Jung Yeon, Wall, Melanie M, Moustaki, Irini, Grossman, Arnold (2022). A joint modeling approach for longitudinal outcomes and non-ignorable dropout under population heterogeneity in mental health studies. Journal of Applied Statistics, 49(13), 3361-3376. https://doi.org/10.1080/02664763.2021.1945000 picture_as_pdf
  • Schrab, Antonin, Jitkrittum, Wittawat, Szabo, Zoltan, Sejdinovic, Dino, Gretton, Arthur (2022). Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’. Biometrika, 109(3), 597 – 603. https://doi.org/10.1093/biomet/asac028 picture_as_pdf
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  • Hasenzagl, Thomas, Pellegrino, Filippo, Reichlin, Lucrezia, Ricco, Giovanni (2022). A model of the Fed's view on inflation. Review of Economics and Statistics, 104(4), 686 - 704. https://doi.org/10.1162/rest_a_00974
  • Shi, Chengchun, Uehara, Masatoshi, Uehara, Masatoshi, Huang, Jiawei, Jiang, Nan (2022). A minimax learning approach to off-policy evaluation in confounded Partially Observable Markov Decision Processes. Proceedings of Machine Learning Research, picture_as_pdf
  • Tzougas, George, Hong, Natalia, Ho, Ryan (2022). Mixed poisson regression models with varying dispersion arising from non-conjugate mixing distributions. Algorithms, 15(1). https://doi.org/10.3390/a15010016 picture_as_pdf
  • Yang, Xiuleng, McCoy, Emma, Hough, Katherine, de Nazelle, Audrey (2022). Evaluation of low traffic neighbourhood (LTN) impacts on NO2 and traffic. Transportation Research Part D: Transport and Environment, 113, https://doi.org/10.1016/j.trd.2022.103536 picture_as_pdf
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  • Katsikatsou, Myrsini, Moustaki, Irini, Md Jamil, Haziq (2022). Pairwise likelihood estimation for confirmatory factor analysis models with categorical variables and data that are missing at random. British Journal of Mathematical and Statistical Psychology, 75(1), 23 - 45. https://doi.org/10.1111/bmsp.12243 picture_as_pdf
  • Kostic, Anica (2022). On change-point perspectives in multiple testing and weak signal inference [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004492
  • Kotecha, Meena (23 February 2022) Enhancing the learning experience of mathematics and statistics for non-specialist university students. Lucy Cavendish College Blog.
  • Kreiss, Alexander, Van Keilegom, Ingrid (2022). Semi-parametric estimation of incubation and generation times by means of Laguerre polynomials. Journal of Nonparametric Statistics, 34(3), 570 - 606. https://doi.org/10.1080/10485252.2022.2028281 picture_as_pdf
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  • Liu, Yirui (2022). Three essays in Bayesian nonparametric machine learning [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004682
  • Lu, Yan (2022). Multivariate outlier detection in latent variable models [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004430
  • Qiao, Xinghao, Liu, Yirui, Lam, Jessica (2022). CATVI: conditional and adaptively truncated variational inference for hierarchical Bayesian nonparametric models. Proceedings of Machine Learning Research, 151, picture_as_pdf
  • Shi, Chengchun, Li, Lexin (2022). Testing mediation effects using logic of Boolean matrices. Journal of the American Statistical Association, 117(540), 2014 - 2027. https://doi.org/10.1080/01621459.2021.1895177 picture_as_pdf
  • Shi, Chengchun, Luo, Shikai, Le, Yuan, Zhu, Hongtu, Song, Rui (2022). Statistically efficient advantage learning for offline reinforcement learning in infinite horizons. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2022.2106868 picture_as_pdf
  • Shi, Chengchun, Wang, Xiaoyu, Luo, Shikai, Zhu, Hongtu, Ye, Jieping, Song, Rui (2022). Dynamic causal effects evaluation in A/B testing with a reinforcement learning framework. Journal of the American Statistical Association, 1 - 13. https://doi.org/10.1080/01621459.2022.2027776 picture_as_pdf
  • Shi, Chengchun, Zhang, Shengxing, Lu, Wenbin, Song, Rui (2022). Statistical inference of the value function for reinforcement learning in infinite-horizon settings. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(3), 765 - 793. https://doi.org/10.1111/rssb.12465 picture_as_pdf
  • Shi, Chengchun, Zhu, Jin, Shen, Ye, Luo, Shikai, Zhu, Hongtu, Song, Rui (2022). Off-policy confidence interval estimation with confounded Markov decision process. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2022.2110878 picture_as_pdf
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  • Makariou, Despoina (2022). Development and application of statistical learning methods in insurance and finance [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004391
  • Tzougas, George, Makariou, Despoina (2022). The multivariate Poisson-Generalized Inverse Gaussian claim count regression model with varying dispersion and shape parameters. Risk Management and Insurance Review, 25(4), 401 - 417. https://doi.org/10.1111/rmir.12224 picture_as_pdf
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  • Pellegrino, Filippo (2022). Essays on asynchronous time series and related multidimensional data [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004500
  • Pesce, Elena, Rapallo, Fabio, Riccomagno, Eva, Wynn, Henry P. (2022). Generation of all randomizations using circuits. Annals of the Institute of Statistical Mathematics, https://doi.org/10.1007/s10463-022-00860-4 picture_as_pdf
  • Scutari, Marco, Panero, Francesca, Proissl, Manuel (2022). Achieving fairness with a simple ridge penalty. Statistics and Computing, 32(5). https://doi.org/10.1007/s11222-022-10143-w picture_as_pdf
  • Swallow, Ben, Xiang, Wen, Panovska-Griffiths, Jasmina (2022). Tracking the national and regional COVID-19 epidemic status in the UK using weighted principal component analysis. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2233). https://doi.org/10.1098/rsta.2021.0302 picture_as_pdf
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  • Shlomo, Natalie, Skinner, Chris (2022). Measuring risk of re-identification in microdata: state-of-the art and new directions. Journal of the Royal Statistical Society. Series A: Statistics in Society, 185(4), 1644 - 1662. https://doi.org/10.1111/rssa.12902 picture_as_pdf
  • Shroff, Ravi, Vamvourellis, Konstantinos (2022). Pretrial release judgments and decision fatigue. Judgment and Decision Making, 17(6), 1176-1207. picture_as_pdf
  • Volodina, Victoria, Sonenberg, Nikki, Wheatcroft, Edward, Wynn, Henry (2022). Majorization as a theory for uncertainty. International Journal for Uncertainty Quantification, 12(5), 23 - 45. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2022035476
  • Zhu, Ziwei, Wang, Tengyao, Samworth, Richard J. (2022). High-dimensional principal component analysis with heterogeneous missingness. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(5), 2000 - 2031. https://doi.org/10.1111/rssb.12550 picture_as_pdf
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  • Tee, Jing Han (2022). Interrupted Brownian motion and other related processes [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004522
  • Zhang, Xinyu, Tong, Howell (2022). Asymptotic theory of principal component analysis for time series data with cautionary comments. Journal of the Royal Statistical Society. Series A: Statistics in Society, 185(2), 543 - 565. https://doi.org/10.1111/rssa.12793 picture_as_pdf
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  • Volodina, Victoria, Wheatcroft, Edward, Wynn, Henry (2022). Comparing district heating options under uncertainty using stochastic ordering. Sustainable Energy, Grids and Networks, 30, https://doi.org/10.1016/j.segan.2022.100634 picture_as_pdf
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  • Wang, Yiliu (2022). Relational learning for set value functions [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004464
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  • Xu, Tianlin (2022). Generative adversarial networks for sequential learning [Doctoral thesis]. London School of Economics and Political Science. https://doi.org/10.21953/lse.00004425
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  • Yao, Qiwei (12 May 2022) Counterparty credit risk management: estimating extreme quantiles for a bank. LSE Business Review. picture_as_pdf