Staff profile

• Mixture models
• Nonparametric regression
• Principal curves
• Random effect modelling

• Statistics

• Software
• Talks and Posters

• 0000: Associate Editor, Advances in Statistical Analysis:
• 0000: Associate Editor, Statistical Modelling:
• 0000: Member of the Executive Committee of the SMS: The Statistical Modelling Society (SMS) is an international society with the purpose of promoting and encouraging statistical modelling, and which organizes the annual conference "International Workshop on Statistical Modelling". I have been elected member of the SMS Executive Committee 2011-12 and 2015-18, and continue to be member on the Committee as the ;Representative of the WG for Communication

Chapter in book

• Errington, Adam, Einbeck, Jochen & Cumming, Jonathan (2021). Estimating Exposure Fraction from Radiation Biomarkers: A Comparison of Frequentist and Bayesian Approaches. In Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications. Vasile, Massimiliano & Quagliarella, Domenico Cham: Springer. 8: 393-405.
• Basu, Tathagata, Einbeck, Jochen & Troffaes, Matthias C. M. (2021). Uncertainty Quantification in Lasso-Type Regularization Problems. In Optimization Under Uncertainty with Applications to Aerospace Engineering. Springer. 81-109.
• Einbeck, Jochen, Ainsbury, Elizabeth, Barnard, Stephen, Oliveira, Maria, Manning, Grainne, Puig, Pere & Badie, Christophe (2017). On the Use of Random Effect Models for Radiation Biodosimetry. In Extended Abstracts Fall 2015. Ainsbury, E., Calle, M., Cardis, E., Einbeck, J., Gómez, G. & Puig, P. Cham: Springer. 7: 89-94.
• Julian, B.R., Foulger, G.R., Hatfield, O., Jackson, S.E., Simpson, E., Einbeck, J. & Moore, A. (2015). Hotspots in Hindsight. In The Interdisciplinary Earth: A Volume in Honor of Don L. Anderson. Foulger, G.R., Lustrino, M. & King, S.D. Boulder, Colorado Washington, DC: The Geological Society of America / AGU. 105-121.
• Einbeck, Jochen, Evers, Ludger & Bailer-Jones, Coryn (2008). Representing complex data using localized principal components with application to astronomical data. In Lecture Notes in Computational Science and Engineering. Gorban, A Kegl, B Wunsch, D & Zinovyev, A Heidelberg: Springer-Verlag. 58: 180-204.

Conference Paper

• Zhang, Yingjuan & Einbeck, Jochen (2022), Simultaneous linear dimension reduction and clustering with flexible variance matrices, in Torelli, Nicola, Bellio, Ruggero & Muggeo, Vito eds, International Workshop of Statistical Modelling. Trieste, EUT Edizioni Università di Trieste, 612-617.
• Basu, Tathagata, Einbeck, Jochen & Troffaes, Matthias (2020), A sensitivity analysis and error bounds for the adaptive lasso, in Irigoien, I., Lee, D.-J., Martinez-Minaya, J. & Rodriguez-Alvarez, M.X. eds, International Workshop on Statistical Modelling. Bilbao, Universidad del Pais Vasco, 278-281.
• Basu, Tathagata, Troffaes, Matthias C. M. & Einbeck, Jochen (2020), Binary Credal Classification Under Sparsity Constraints, in Lesot, Marie-Jeanne, Vieira, Susana, Reformat, Marek Z., Carvalho, Joao Paulo, Wilbik, Anna, Bouchon-Meunier, Bernadette & Yager, Ronald R. eds, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Lisbon, Springer, 82-95.
• Almohaimeed, Amani & Einbeck, Jochen (2018), Box-Cox response transformations for random effect models, 2: International Workshop on Statistical Modelling. Bristol, University of Bristol, 1-6.
• Einbeck, J., Gray, E., Sofroniou, N., Marques da Silva Junior, A. H. & Gledhill, J. (2017), Confidence intervals for posterior intercepts, with application to the PIAAC literacy survey, in Grzegorczyk, M. & Ceoldo, G. eds, 1: International Workshop on Statistical Modelling. Groningen, University of Groningen, Groningen, 217-222.
• da Silva-Junior, A.H.M., Einbeck, J. & Craig, P.S. (2016), Gradient test for generalised linear models with random effects, in Dupuy, J.F. & Josse, J. eds, I: International Workshop on Statistical Modelling. Rennes, France, Statistical Modelling Society, 213-218.
• Einbeck, Jochen & Wilson, Paul (2016), A diagnostic plot for assessing model fit in count data models, in Dupuy, J.F. & Josse, J. eds, I: International Workshop on Statistical Modelling. Rennes, France, Statistical Modelling Society, 103-108.
• Wilson, Paul & Einbeck, Jochen (2016), On statistical testing and mean parameter estimation for zero-modification in count data regression, in Dupuy, J.F. & Josse, J. eds, I: International Workshop on Statistical Modelling. Rennes, Statistical Modelling Society, 327-332.
• Wilson, Paul & Einbeck, Jochen (2015), A simple and intuitive test for number-inflation or number-deflation, in Wagner, Helga & Friedl, Herwig eds, 2: 30th International Workshop on Statistical Modelling. Linz, Austria, Statistical Modelling Society, Linz, 299-302.
• Tsiftsi, Thomai, Jermyn, Ian & Einbeck, Jochen (2014), Bayesian shape modelling of cross-sectional geological data, in Kneib, Thomas, Sobotka, Fabian, Fahrenholz, Jan & Irmer, Henriette eds, II: 29th International Workshop on Statistical Modelling. Göttingen, University of Göttingen, Göttingen, 161-164.
• Bonetti, Daniel, Delbem, Alexandre & Einbeck, Jochen (2014), Bivariate Estimation of Distribution Algorithms for Protein Structure Prediction, in Kneib, Thomas, Sobotka, Fabian, Fahrenholz, Jan & Irmer, Henriette eds, II: 29th International Workshop on Statistical Modelling. Göttingen, Germany, Georg August University Göttingen, Göttingen, 15-18.
• Einbeck, Jochen & Bonetti, Daniel (2014), A study of online and blockwise updating of the EM algorithm for Gaussian mixtures, in Kneib, Thomas, Sobotka, Fabian, Fahrenholz, Jan & Irmer, Henriette eds, Proceedings of the 29th International Workshop on Statistical Modelling. Göttingen, Germany, 14-18 July 2014 II: 29th International Workshop on Statistical Modelling. Göttingen, University of Göttingen, Göttingen, 35-38.
• Lawson, Antony & Einbeck, Jochen (2012), Generative linear mixture modelling, in Komarek, Arnost & Nagy, Stanislav eds, Proceedings of the international workshop on statistical modelling 2: International workshop on statistical modelling. Prague, Statistical Modeling Society, Prague, 595-600.
• Einbeck, J., Isaac, B., Evers, L. & Parente, A. (2012), Penalized regression on principal manifolds with application to combustion modelling, in Komarek, A. & Nagy, S. eds, 1: International workshop on statistical modelling. Prague, Statistical Modeling Society, Prague, 117-122.
• Kalantan, Zakiah & Einbeck, Jochen (2012), On the computation of the correlation integral for fractal dimension estimation, IEEE conference publications International Conference on Statistics in Science, Business, and Engineering (ICSSBE). Langkawi, Kedah, Malaysia Langkawi, Kedah, 80-85.
• Taylor, James & Einbeck, Jochen (2011), Multivariate regression smoothing through the 'fallling net', in Conesa, David, Forte, Anabel, Lopez-Quilez, Antonio & Munoz, Facundo eds, 26th international workshop on statistical modelling. Valencia, Statistical Modelling Society, Valencia, 597-602.
• Zayed, Mohammad & Einbeck, Jochen (2010), Constructing Economic Summary Indexes via Principal Curves, in Yves Lechevallier & Gilbert Saporta eds, COMPSTAT 2010. Paris, France, Springer, Paris, 1709-1716.
• Taylor, James & Einbeck, Jochen (2010), Strategies for local smoothing in high dimensions: using density thresholds and adapted GCV, in Bowman, Adrian eds, 25th International Workshop on Statistical Modelling. Glasgow, Scotland, University of Glasgow, Glasgow, 525-528.
• Einbeck, J, Evers, L & Hinchliff, K (2010), Data compression and regression based on local principal curves, in Fink, A, Lausen, B, Seidel, W & Ultsch, A eds, Studies in Classification, Data Analysis, and Knowledge Organization 32nd annual Conference of the German Classification Society. Hamburg, Springer, Hamburg, 701-712.
• Einbeck, Jochen & Evers, Ludger (2010), Localized regression on principal manifolds, in Bowman, Adrian eds, 25th International Workshop on Statistical Modelling. Glasgow, University of Glasgow, Glasgow, 179-184.
• Sofroniou, Nick, Hoad, Dominique & Einbeck, Jochen (2008), League tables for literacy survey data based on random effect models, in Eilers, Paul. eds, 23rd international workshop on statistical modelling. Utrecht, Statistical Modelling Society, Utrecht, 402-405.
• Einbeck, Jochen, Augustin, Thomas & Singer, Julio M. (2007), Smoothing, Sampling, and Basu's elephants, in del Castillo, Joan, Espinal, Anna & Puig, Pere eds, Proceedings of the IWSM 22nd International Workshop on Statistical Modelling. Barcelona, Spain., IDESCAT, Barcelona, 245-248.
• Newell, John. & Einbeck, Jochen. (2007), A comparative study of nonparametric derivative estimators, in del Castillo, Joan., Espinal, Anna. & Puig, Pere. eds, Proceedings of the IWSM 22nd International Workshop on Statistical Modelling. Barcelona, Spain., IDESCAT, Barcelona, 453-456.
• Sofroniou, Nick, Einbeck, Jochen & Hinde, John (2006), Analyzing Irish suicide rates with mixture models, in Hinde, John, Einbeck, Jochen & Newell, John eds, Proceedings of the IWSM 21th International Workshop on Statistical Modelling. Galway, Ireland, National University of Ireland, Galway, 474-481.
• Einbeck, Jochen & Tutz, Gerhard (2006), The fitting of multifunctions: an approach to nonparametric multimodal regression, in Rizzi, A. & Vichi, M. eds, Proceedings in Computational Statistics COMPSTAT. Rome, Italy., Physica-Verlag, Rome, 1251-1258.
• Newell, John, Einbeck, Jochen Madden, Niall & McMillan, Kenny (2005), Model free endurance markers based on the second derivative of blood lactate curves, in Francis, A.R. Matawie, K.M. Oshlack, A. & Smyth, G.K. eds, Proceedings of the IWSM 20th International Workshop on Statistical Modelling. Sydney, Statistical Modelling Society, Sydney, 357-364.
• Einbeck, Jochen, Tutz, Gerhard & Evers, Ludger (2005), Exploring Multivariate Data Structures with Local Principal Curves, in Weihs, C. & Gaul, W. eds, Studies in classification data analysis and knowledge organization 28th Annual Conference of the German Classification Society. Magedeburg, Germany, Springer-Verlag, Magedeburg, 256-263.

Doctoral Thesis

• Jochen Einbeck (2003). Local Smoothing Methods for the Analysis of Multivariate Complex Data Structures. Institut fuer Statistik. LMU Muenchen. PhD.

Edited book

• Ainsbury, E.A., Calle, M.L. Cardis, E., Einbeck, J., Gómez, G. & Puig, P. (2017). Extended Abstracts Fall 2015. Biomedical Big Data; Statistics for Low Dose Radiation Research. Research Perspectives CRM Barcelona. Springer.
• Hinde, John, Einbeck, Jochen & Newell, John (2006). Proceedings of the 21st International Workshop on Statistical Modelling. Galway, Ireland, 3-7 July 2006. National University of Ireland, Galway.

Journal Article

• Bar-Lev, Shaul K., Batsidis, Apostolos, Einbeck, Jochen, Liu, Xu & Ren, Panpan (2023). Cumulant-Based Goodness-of-Fit Tests for the Tweedie, Bar-Lev and Enis Class of Distributions. Mathematics 11(7): 1603.
• Hernández, Alfredo, Endesfelder, David, Einbeck, Jochen, Puig, Pedro, Benadjaoud, Mohamed Amine, Higueras, Manuel, Ainsbury, Elizabeth, Gruel, Gaëtan, Oestreicher, Ursula, Barrios, Leonardo & Barquinero, Joan Francesc (2023). Biodose Tools: an R shiny application for biological dosimetry. International Journal of Radiation Biology
• Basu, Tathagata, Troffaes, Matthias C. M. & Einbeck, Jochen (2023). A robust Bayesian analysis of variable selection under prior ignorance. Sankhya A 85(1): 1014–1057.
• Almohaimeed, Amani, Einbeck, Jochen, Qarmalah, Najla & Alkhidhr, Hanan (2022). Using Random Effect Models to Produce Robust Estimates of Death Rates in COVID-19 Data. International Journal of Environmental Research and Public Health 19(22): 14960.
• Tolley, Clare L., Watson, Neil W., Heed, Andrew, Einbeck, Jochen, Medows, Suzanne, Wood, Linda, Campbell, Layla & Slight, Sarah P. (2022). The impact of a novel medication scanner on administration errors in the hospital setting: a before and after feasibility study. BMC Medical Informatics and Decision Making 22(1): 86.
• Errington, Adam, Einbeck, Jochen, Cumming, Jonathan, Rössler, Ute & Endesfelder, David (2022). The effect of data aggregation on dispersion estimates in count data models. The International Journal of Biostatistics 18(1): 183-202.
• Singh, A., Uwimpuhwe, G., Li, M., Einbeck, J., Higgins, S. & Kasim, A. (2022). Multisite educational trials: estimating the effect size and its confidence intervals. International Journal of Research & Method in Education 45(1): 18-38.
• Almohaimeed, Amani & Einbeck, Jochen (2022). Response transformations for random effect and variance component models. Statistical Modelling 22(4): 297-326.
• Reissland, N., Einbeck, J., Wood, R. & Lane, A. (2021). Effects of maternal mental health on prenatal movement profiles in twins and singletons. Acta paediatrica 110(9): 2553-2558.
• Tolley, C L, Watson, N W, Heed, A, Einbeck, J, Medows, S, Wood, L, Campbell, L & Slight, S P (2021). The Impact of a Bedside Medication Scanning Device on Administration Errors in the Hospital Setting: A Prospective Observational Study. International Journal of Pharmacy Practice 29(Supplement_1): i9.
• Wilson, Paul & Einbeck, Jochen (2021). A graphical tool for assessing the suitability of a count regression model. Austrian Journal of Statistics 50(1): 1-23.
• Endesfelder, David, Kulka, Ulrike, Einbeck, Jochen & Oestreicher, Ursula (2020). Improving the accuracy of dose estimates from automatically scored dicentric chromosomes by accounting for chromosome number. International Journal of Radiation Biology 96(12): 1571-1584.
• Reissland, N., Wood, R. Einbeck, J. & Lane, A. (2020). Effects of maternal mental health on fetal visual preference for face-like compared to non-face like light stimulation. Early Human Development 151: 105227.
• Reissland, N., Millard, A., Wood, R., Ustun, B., McFaul, C., Froggatt, S. & Einbeck, J. (2020). Prenatal effects of maternal nutritional stress and mental health on the fetal movement profile. Archives of Obstetrics and Gynaecology 302(1): 65-75.
• Einbeck, Jochen, Kalantan, Zakiah & Kruger, Uwe (2020). Practical Considerations on Nonparametric Methods for Estimating Intrinsic Dimensions of Nonlinear Data Structures. International Journal of Pattern Recognition and Artificial Intelligence 34(9): 2058010.
• Kalantan, Zakiah I. & Einbeck, Jochen (2019). Quantile-Based Estimation of the Finite Cauchy Mixture Model. Symmetry 11(9): 1186.
• Wilson, Paul & Einbeck, Jochen (2019). A new and intuitive test for zero modification. Statistical Modelling 19(4): 341-361.
• Einbeck, Jochen, Ainsbury, Elizabeth A., Sales, Rachel, Barnard, Stephen, Kaestle, Felix & Higueras, Manuel (2018). A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay. PLOS ONE 13(11): e0207464.
• Qarmalah, Najla M., Einbeck, Jochen & Coolen, Frank P.A. (2018). k-Boxplots for mixture data. Statistical Papers 59(2): 513-528.
• Marques da Silva Júnior, Antonio Hermes, Einbeck, Jochen & Craig, Peter S. (2018). Fisher information under Gaussian quadrature models. Statistica Neerlandica 72(2): 74-89.
• Einbeck, Jochen & Meintanis, Simos (2017). Self–consistency–based tests for bivariate distributions. Journal of Statistical Theory and Practice 11(3): 478-492
• Qarmalah, Najla M., Einbeck, Jochen & Coolen, Frank P.A. (2017). Mixture Models for Prediction from Time Series, with Application to Energy Use Data. Archives of Data Science Series A 2(1): 1-15.
• Ainsbury, Elizabeth A., Higueras, Manuel, Puig, Pedro, Einbeck, Jochen, Samaga, Daniel, Barquinero, Joan F., Barrios, Lleonard, Brzozowska, Beata, Fattibene, Paola, Gregoire, Eric, Jaworska, Alicija, Lloyd, David, Oestreicher, Ursula, Romm, Horst, Rothkamm, Kai, Roy, Lawrence, Sommer, Sylwester, Terzoudi, Georgia, Thierens, Hubert, Trompier, Francois, Vral, Anne & Woda, Clemens (2017). Uncertainty of fast biological radiation dose assessment for emergency response scenarios. International Journal of Radiation Biology 93(1): 127-135.
• Jackson, Samuel E., Einbeck, Jochen, Kasim, Adetayo & Talloen, Willem (2016). The correlation threshold as a strategy for gene filtering, with application to irritable bowel syndrome and breast cancer microarray data. Reinvention: an International Journal of Undergraduate Research 9(2).
• Oliveira, María, Einbeck, Jochen, Higueras, Manuel, Ainsbury, Elizabeth, Puig, Pedro & Rothkamm, Kai (2016). Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study. Biometrical Journal 58(2): 259-279.
• Meintanis, Simos & Einbeck, Jochen (2015). Validation tests for semi-parametric models. Journal of Statistical Computation and Simulation 85(1): 131-146.
• Einbeck, Jochen, Jackson, Samuel E. & Kasim, Adetayo (2015). A summer with genes: Simple disease classification from microarray data. Mathematics Today 51(4): 186-188.
• Back, J.J., Barker, G.J., Boyd, S.B., Einbeck, J., Haigh, M., Morgan, B., Oakley, B., Ramachers, Y.A. & Roythorne, D. (2014). Implementation of a local principal curves algorithm for neutrino interaction reconstruction in a liquid argon volume. The European Physical Journal C 74(3): 2832.
• Einbeck, Jochen & Zayed, Mohammad (2014). Some asymptotics for localized principal components and curves. Communications in Statistics - Theory and Methods 43(8): 1736-1749.
• Einbeck, Jochen & Taylor, James (2013). A number-of-modes reference rule for density estimation under multimodality. Statistica Neerlandica 67(1): 54-66.
• Taylor, James & Einbeck, Jochen (2013). Challenging the curse of dimensionality in multivariate local linear regression. Computational Statistics 28(3): 955-976.
• Einbeck, Jochen (2013). Discussion of ‘Beyond mean regression’. Statistical Modelling 13(4): 349-354.
• Meintanis, Simos & Einbeck, Jochen (2012). Goodness-of-fit tests in semi-linear models. Statistics and Computing 22(4): 967-979.
• Einbeck, Jochen & Dwyer, Jo (2011). Using principal curves to analyze traffic patterns on freeways. Transportmetrica 7(3): 229-246.
• Einbeck, Jochen (2011). Bandwidth Selection for Mean-shift based Unsupervised Learning Techniques: a Unified Approach via Self-coverage. Journal of Pattern Recognition Research 6(2): 175-192.
• Einbeck, Jochen, Evers, Ludger & Powell, Benedict (2010). Data compression and regression through local principal curves and surfaces. International Journal of Neural Systems 20(3): 177-192.
• Einbeck, Jochen & Augustin, Thomas (2009). On design-weighted local fitting and its relation to the Horvitz-Thompson estimator. Statistica Sinica 19(1): 103-123.
• Fried, Roland, Einbeck, Jochen & Gather, Ursula (2007). Weighted Repeated Median Smoothing and Filtering. Journal of the American Statistical Association 102(480): 1300-1308.
• Newell, John, Higgins, D., Madden, N. Cruickshank, J., Einbeck, J., McMillan, K. & McDonald, R (2007). Software for calculating blood lactate endurance markers. Journal of Sports Sciences 25(12): 1403-1409.
• Einbeck, Jochen, Hinde, John & Darnell, Ross (2007). A new package for fitting random effect models. R News 7(1): 26-30.
• Einbeck, Jochen & Tutz, Gerhard (2006). Modelling beyond regression functions: An application of multimodal regression to speed-flow data. Applied statistics a journal of the Royal Statistical Society 55(4): 461-475.
• Einbeck, Jochen & Hinde, John (2006). A note on NPML estimation for exponential family regression models with unspecified dispersion parameter. Austrian Journal of Statistics 35(2&3): 233-243.
• Einbeck, Jochen, Tutz, Gerhard & Evers, Ludger (2005). Local Principal Curves. Statistics and Computing 15(4): 301-313.
• Einbeck, Jochen (2004). A Simple Unifying Formula for Taylor's Theorem and Cauchy's Mean Value Theorem. International Journal of Pure and Applied Mathematics 14(1): 69-74.
• Einbeck, Jochen, Andre, Carmen D.S. & Singer, Julio M. (2004). Local Smoothing with Robustness against outlying Predictors. Environmetrics 15(6): 541-554.
• Einbeck, Jochen (2004). Local fitting with a power basis. REVSTAT- Statistical Journal 2(2): 102-126.
• Einbeck, Jochen (2003). Multivariate Local Fitting with General Basis Functions. Computational Statistics 18(2): 185-203.
• Einbeck, Jochen & Kauermann, Goeran (2003). Online Monitoring with Local Smoothing Methods and Adaptive Ridging. Journal of Statistical Computation and Simulation 73(12): 913-929.

Report

• Menzies, Victoria, Cramman, Helen, Eerola, Paivi, Hugill-Jones, Jessica, Akhter, Nasima & Einbeck, Jochen (2022). Parents and Children Together (PACT) Evaluation Report. Education Endowment Foundation.