| Software for calculating blood lactate endurance markers J Newell, D Higgins, N Madden, J Cruickshank, J Einbeck, K McMillan, ... Journal of sports sciences 25 (12), 1403-1409, 2007 | 193 | 2007 |
| Local principal curves J Einbeck, G Tutz, L Evers Statistics and Computing 15, 301-313, 2005 | 107 | 2005 |
| Modelling beyond regression functions: an application of multimodal regression to speed–flow data J Einbeck, G Tutz Journal of the Royal Statistical Society Series C: Applied Statistics 55 (4 …, 2006 | 74 | 2006 |
| Weighted repeated median smoothing and filtering R Fried, J Einbeck, U Gather Journal of the American Statistical Association 102 (480), 1300-1308, 2007 | 58 | 2007 |
| Zero‐inflated regression models for radiation‐induced chromosome aberration data: A comparative study M Oliveira, J Einbeck, M Higueras, E Ainsbury, P Puig, K Rothkamm Biometrical Journal 58 (2), 259-279, 2016 | 54 | 2016 |
| Bandwidth selection for mean-shift based unsupervised learning techniques: a unified approach via self-coverage J Einbeck Journal of pattern recognition research. 6 (2), 2011 | 36 | 2011 |
| hdrcde: highest density regions and conditional density estimation. R package version 3.3 RJ Hyndman, J Einbeck, M Wand | 26* | 2018 |
| Uncertainty of fast biological radiation dose assessment for emergency response scenarios EA Ainsbury, M Higueras, P Puig, J Einbeck, D Samaga, JF Barquinero, ... International Journal of Radiation Biology 93 (1), 127-135, 2017 | 24 | 2017 |
| Representing complex data using localized principal components with application to astronomical data J Einbeck, L Evers, C Bailer-Jones Principal manifolds for data visualization and dimension reduction, 178-201, 2008 | 24 | 2008 |
| npmlreg: Nonparametric maximum likelihood estimation for random effect models.[Online] http://CRAN J Einbeck, R Darnell, J Hinde R-project. org/package= npmlreg, 2009 | 23* | 2009 |
| Using principal curves to analyse traffic patterns on freeways J Einbeck, J Dwyer Transportmetrica 7 (3), 229-246, 2011 | 22 | 2011 |
| A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay J Einbeck, EA Ainsbury, R Sales, S Barnard, F Kaestle, M Higueras PLoS One 13 (11), e0207464, 2018 | 19 | 2018 |
| Data compression and regression through local principal curves and surfaces J Einbeck, L Evers, B Powell International journal of neural systems 20 (03), 177-192, 2010 | 19 | 2010 |
| A note on NPML estimation for exponential family regression models with unspecified dispersion parameter J Einbeck, J Hinde Austrian journal of statistics 35 (2&3), 233-243, 2006 | 19 | 2006 |
| A comparative study of nonparametric derivative estimators J Newell, J Einbeck Proc. of the 22nd International Workshop on Statistical Modelling, 2007 | 18 | 2007 |
| Exploring multivariate data structures with local principal curves J Einbeck, G Tutz, L Evers Classification—the Ubiquitous Challenge: Proceedings of the 28 th Annual …, 2005 | 16 | 2005 |
| A new and intuitive test for zero modification P Wilson, J Einbeck Statistical Modelling 19 (4), 341-361, 2019 | 15 | 2019 |
| Intrinsic dimensionality estimation for high-dimensional data sets: New approaches for the computation of correlation dimension J Einbeck, Z Kalantan | 15* | 2013 |
| Challenging the curse of dimensionality in multivariate local linear regression J Taylor, J Einbeck Computational Statistics 28, 955-976, 2013 | 14 | 2013 |
| Data compression and regression based on local principal curves J Einbeck, L Evers, K Hinchliff Advances in Data Analysis, Data Handling and Business Intelligence …, 2010 | 14 | 2010 |
Elizabeth A AinsburyHead of Radiation Effects Department, UK Health Security AgencyVerified email at ukhsa.gov.uk
