Address: School of Mathematical Sciences, University Park, University of Nottingham, Nottingham, NG7 2RD, UK.
Email: theodore.kypraios@nottingham.ac.uk Web: http://www.maths.nottingham.ac.uk/~tk/ Github: kypraios
Phone: +44 (0)115 95 14922 (Work) Mobile: +44 (0)7804 227889
Professor of Statistics
School of Mathematical Sciences, University of Nottingham, UK.
Associate Professor in Statistics
School of Mathematical Sciences, University of Nottingham, UK.
Lecturer/Assistant Professor in Statistics
School of Mathematical Sciences, University of Nottingham, UK.
Research Fellow
School of Mathematical Sciences, University of Nottingham, UK.
Research Leader’s Programme
University of Nottingham, UK.
Postgraduate Certificate in Higher Educations
University of Nottingham, UK.
PhD in Statistics
Department of Mathematics, Lancaster University.
Supervisor: Prof Gareth Roberts, Examiners: Prof Jonathan Tawn, Stephen G. Walker
[Funded by a Faculty Scholarship from Lancaster University and EPSRC]
MSc in Medical Statistics (With distinction)
Department of Mathematics, Lancaster University.
Dissertation Supervisor: Prof Leo Held
[Funded by an NHS Scholarship]
Ptychion in Statistics
Department of Statistics, Athens University of Economics and Business.
Grade: 8.64/10 (Equivalent to a First)
Head of Statistics and Probability Section, School of Mathematical Sciences, University of Nottingham.
(Co-) Leader of the University of Nottingham Interdisciplinary Research Cluster, “Data, Modelling and Uncertainty”.
Chair of the Royal Statistical Society Statistical Computational Statistics Section.
(Co-) Leader of the University of Nottingham Research Priority Area “Data, Modelling and Uncertainty”.
Chair of the Royal Statistical Society East Midlands Local Group.
Seymour, R. G., Nyarko-Agyei, A., McCabe, H. R., Severn, K., Kypraios, T., Sirl, D., & Taylor, A. (2023). Comparative Judgement Modeling to Map Forced Marriage at Local Levels. [arXiv]
Golightly, A., Wadkin, L. E., Whitaker, S., Baggaley, A., Parker, N., & Kypraios, T. (2023). Accelerating Bayesian inference for stochastic epidemic models using incidence data. [arXiv]
Fallaize, C, Kypraios, T. (2022) Bayesian Model Choice for Directional Data. Submitted.
Aristotelous, G., Kypraios, T., O’Neill, P.D (2023) Posterior Predictive Checking for Partially Observed Stochastic Epidemic Models. Bayesian Analysis. [final-version]
Baker, M., Williams, A. D., Hooton, S. P., Helliwell, R., King, E., Dodsworth, T., … & Stekel, D. J. (2022). Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control. Environment International, (169), 107516. [open-access].
Seymour, R. G., Kypraios, T., & O’Neill, P. D. (2022). Bayesian nonparametric inference for heterogeneously mixing infectious disease models. Proceedings of the National Academy of Sciences, 119(10), e2118425119. [final-version]
Stockdale, J. E., Kypraios, T., O’Neill, P.D. (2021) Pair-based likelihood approximations for stochastic epidemic models. Biostatistics, 22(3):575–597 [final-version].
Seymour, R.G., Kypraios, T., O’Neill, P.D (2021) A Bayesian Nonparametric Analysis of the 2003 Outbreak of Highly Pathogenic Avian Influenza in the Netherlands. Journal of the Royal Statistical Society, Series C, 70(5):1323–1343. [final-version]
Papanikolaou, N.E., Dervisoglou, S., Fantinou, A., Kypraios, T., Giakoumaki, V. and Perdikis, D. (2021) Predator size affects the intensity of mutual interference in a predatory mirid. Ecology and evolution, 11(3):1342–1351. [final-version]
Papanikolaou, N.E., Kypraios, T., Moffat, H., Fantinou, A., Perdikis, D.P. and Drovandi, C., (2021) Predators’ Functional Response: Statistical Inference, Experimental Design, and Biological Interpretation of the Handling Time. Frontiers in Ecology and Evolution, 749. [final-version]
Mabwa, D., Gajjar, K., Furniss, D., Schiemer, R., Crane, R., Fallaize, C., Martin-Hirsch, P.L., Martin, F.L., Kypraios, T., Seddon, A.B. and Phang, S. (2021) Mid-infrared spectral classification of endometrial cancer compared to benign controls in serum or plasma samples. Analyst, 146(18):5631–5642. [final-version]
Genitsaridi, E., Kypraios, T., Edvall, N.K., Trpchevska, N., Canlon, B., Hoare, D.J., Cederroth, C.R. and Hall, D.A. (2021). The spatial percept of tinnitus is associated with hearing asymmetry: subgroup comparisons. In Progress in brain research, 263: 59–80). [final-version]
Cassidy, R., Kypraios, T., O’Neill, P.D. (2020) Modelling, Bayesian inference, and model assessment for nosocomial pathogens using whole-genome-sequence data. Statistics in Medicine, 39:1746–1765.[final-version]
Genitsaridi, E., Hoare, D.J., Kypraios, T. and Hall, D.A.(2020) A review and a framework of variables for defining and characterizing tinnitus subphenotypes. Brain sciences: 10(12):938. [final-version]
Papanikolaou, N.E., Broufas, G.D., Papachristos, D.P., Pappas, M.L., Kyriakaki, C., Samaras, K. and Kypraios, T. (2020). On the mechanistic understanding of predator feeding behavior using the functional response concept. Ecosphere: 11(5):e03147. [final-version]
Powell, J., Falcke, M., Skupin, A., Bellamy, T.C., Kypraios, T. and Thul, R. (2020). A statistical view on calcium oscillations. Calcium Signaling, 799–826.
Acharya, A. Kypraios, T. Guta, M. (2019) A comparative study of estimation methods in quantum tomography. Journal of Physics A: Mathematical and Theoretical. 52; 234001[arXiv]
Alharthi, M. Kypraios, T., O’Neill, P.D. (2019) Bayes factors for partially observed stochastic epidemic models. Bayesian Analysis 14(3):907–936. [final-version]
O’Neill, P.D. and Kypraios, T., 2019. Markov Chain Monte Carlo Methods for Outbreak Data. In Handbook of Infectious Disease Data Analysis, 159–178, Chapman and Hall/CRC.
Kalogiros, D.I., Russell, M.J., Bonneuil, W.V., Frattolin, J., Watson, D., Moore Jr, J.E., Kypraios, T. and Brook, B.S. (2019) An Integrated Pipeline for Combining in vitro Data and Mathematical Models Using a Bayesian Parameter Inference Approach to Characterize Spatio-temporal Chemokine Gradient Formation. Frontiers in immunology, 10, 1986. [final-version]
Genitsaridi, E., Partyka, M., Gallus, S., Lopez-Escamez, J.A., Schecklmann, M., Mielczarek, M., Trpchevska, N., Santacruz, J.L., Schoisswohl, S., Riha, C. and Lourenco, M., …, Hall, D.A. Standardised profiling for tinnitus research: the European school for interdisciplinary tinnitus research screening questionnaire (ESIT-SQ). Hearing research, 377, 353–359. [final-version]
Perez, I., Hodge, D., Kypraios, T. (2018) Auxiliary Variables for Bayesian Inference in Multi-Class Queueing Networks. Statistics and Computing 28(6):1187–1200. [arXiv]
Golightly, A., Kypraios, T. (2018) Efficient SMC^2 schemes for stochastic kinetic models. Statistics and Computing 28(6):1215–1230 [final-version]
Lopez-Garcia, M., Kypraios, T. (2018) A unified stochastic modelling framework for the spread of nosocomial infections. Interface 15: 20180060.[final-version]
Zhang, J.F. Papanikolaou, N.E., Kypraios, T. and Drovandi, C.C (2018) Optimal Experimental Design for Predator-Prey Functional Response Experiments. Interface 15 20180186.[final-version]
Prangle, D., Everitt, R.G., Kypraios, T. (2018) A rare event approach to high dimensional Approximate Bayesian computation. Statistics and Computing 28(4): 819-834 [final-version]
Kypraios, T., O’Neill, P.D. (2018) Bayesian nonparametrics for stochastic epidemic models. Statistical Science, 33(1):44–56. [final-version]
Iqbal M., Doherty N., Page A.M.L., Qazi S.N.A., Ajmera I., Lund P.A., Kypraios, T. Scott, D.J., Hill, P.J., Stekel, D.J. (2017) Reconstructing promoter activity from Lux bioluminescent reporters. PLoS Computational Biology 13(9): e1005731. [final-version]
Kypraios, T., Neal, P., Prangle D. (2017) A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation. Mathematical Biosciences 287:42-53. [final-version]
Stockdale, J.E, Kypraios, T. O’Neill P.D. (2017) Modelling and Bayesian analysis of the Abakaliki Smallpox Data. Epidemics. [final-version] doi:10.1016/j.epidem.2016.11.005
Boehm-Strm, P., Füchtemeier M., Foddis M., Mueller, S., Trueman, R. C., Zille, M., Rinnenthal, JL, Kypraios, T., Shaw, L., Dirnagl, U., Farr, T.D. (2017) Neuroimaging Biomarkers Predict Brain Structural Connectivity Change in a Mouse Model of Vascular Cognitive Impairment. Stroke, [final-version] doi.org/10.1161/STROKEAHA.116.014394
Papanikolaou, N.E. , Williams, H., Demiris, N. Preston, S.P., Milonas, P.G, Kypraios, T. (2016) Bayesian Inference and Model Choice for Holling’s Disc Equation: An Application to Aphidophagous ladybirds. Community Ecology, 17(1): 71-78. doi: 10.1556/168.2016.17.1.9
Acharya, A., Kypraios, T., Guta, M. (2016) Statistically efficient tomography of low rank states with incomplete measurements. New Journal of Physics, 18:043018. [arXiv]
Fallaize, C.J. and Kypraios, T. (2016) Exact Bayesian Inference for the Bingham Distribution. Statistics and Computing. 26(1-2):349-360. doi:10.1007/s11222-014-9508-7
Gerstgrasser, M., Nicholls, S., Stout, M., Smart, K., Kypraios, T., Powell, C., Stekel D. (2016). A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters. Journal of Bioinformatics and Computational Biology 14 (3):1650007. http://dx.doi.org/10.1142/S021972001650007
Worby, C.J., O’Neill P.D., Kypraios, T., Robotham, J.V., De Angelis, D., Cartwright, E.J.P, Peacock, S.J, Cooper, B.S. (2016). Reconstructing transmission networks for communicable diseases using densely sampled genomic data: a generalized approach. Annals of Applied Statistics, 10 (1): 395–417.
Wei, Y., Kypraios, T., O’Neill, P.D., Huang, S.S., Rifas-Shiman, S.L., and Cooper, B.S. (2016) Modelling Transmission of Vancomycin-Resistant Enterococci in Intensive Care Units. Statistical Methods in Medical Research, doi:10.1177/0962280215627299. [arXiv]
Xu, X., Kypraios, T. and O’Neill, P.D. (2016) Bayesian nonparametric inference for stochastic epidemic models using Gaussian Processes. Biostatistics, 17(4):619-633. [final-version]
Auguet, O.T., Betley, J.R., Stabler, R.A., Patel, A., Ioannou, A., Marbach, H., Hern, P., Aryee, A., Desai, N., Karadag, T., Grundy, C., Gaunt, M., Cooper, B.S., Edgeworth, J.D., Kypraios, T. (2015) Evidence for Community Transmission of Community-Associated but not Healthcare-Associated Methicillin-Resistant Staphylococcus Aureus Strains Linked to Social and Material Deprivation. PLoS Medicine, 13(1): e1001944.
Verykouki, E., Kypraios T., O’Neill P.D. (2016). Modelling the effect of antimicrobial treatment on carriage of hospital pathogens with application to MRSA. Biostatistics, 17 (1):65-78.
Papanikolaou, N.E. Demiris, N., Milonas, P.G., Preston, S.P., Kypraios, T. (2016) Does mutual interference affect the feeding rate of aphidophagous coccinellids? A modelling perspective. PloS ONE, 11 (1): e0146168.
Butucea, C. Guta, M., Kypraios, T. (2015) Spectral thresholding quantum tomography for low rank states. New Journal of Physics, 17:113050. [arXiv]
White, S., Kypraios, T., and Preston S. (2015) Piecewise Approximate Bayesian Computation: fast inference for discretely observed Markov models using a factorised posterior distribution. Statistics and Computing, 25(2):289–301.
Neal, P., and Kypraios, T. (2015). Exact Bayesian inference via data augmentation. Statistics and Computing, 25(2):333-347.
Catana, C., Kypraios, T. and Guta, M. (2014) Maximum likelihood versus likelihood-free quantum system identification in the atom maser. J. Phys. A: Math. Theor. 47 (41):415302.
Ellis, M., Pezaros, D.P., Kypraios T., Perkins, C. (2014) A two-level Markov model for packet loss in UDP/IP-based real-time video applications targeting residential users. Computer Networks, 70:384-399.
Demiris N., Kypraios, T., Smith V. (2014) On the Epidemic of Financial Crises. Royal Statistical Society: Series A (Statistics in Society), 177: 697-723.
Knock, E. Kypraios, T., Morgan, P. and Sotiropoulos, S. (2014). Noise Model Selection for Multichannel Diffusion-weighted MRI. In The Contribution of Young Researchers to Bayesian Statistics, Springer Proceedings in Mathematics & Statistics (63):149-153
Worby C., Jeyaratnam D., Robotham J.V. , Kypraios T., O’Neill P.D., De Angelis D., French G., and Cooper, B.S. (2013) Estimating the effectiveness of isolation and decolonisation measures in reducing MRSA transmission in hospital general wards:a model-based analysis. American Journal of Epidemiology. 177(11):1306-1313.
Vlek A.L., Cooper B.S., Kypraios T., Cox A., Edgeworth J.D., and Auguet O.T. (2013). Clustering of Antimicrobial Resistance Outbreaks Across Bacterial Species in the Intensive Care Unit. Clinical Infectious Diseases, 57(1):65-76.
Fontana, A. Copetti, M., Mazzoccoli, G., Kypraios, T, and Pellegrini, F. (2013). A linear mixed model approach to compare the evolution of multiple biological rhythms. Statistic in Medicine, 32(7):1125-1135.
Guta, M. Kypraios, T. and Dryden, I. (2012) Rank-based model selection for multiple ions quantum tomography. New Journal of Physics, 14:e105002.
Ellis, M., Pezaros, D., Kypraios, T. and Perkins, C. (2012) Modelling Packet Loss in RTP-based Streaming Video for Residential Users. Proceedings of the 37th IEEE Conference on Local Computer Networks, Clearwater, FL, USA.
Cooper, B.S., Kypraios, T., Batra R., Wyncoll, D., Tosas, O., Edgeworth, J.D. (2012) Quantifying type-specific reproduction numbers for nosocomial pathogens: evidence for heightened transmission of an Asian sequence type 239 MRSA clone. Plos Computational Biology, 8(4): e1002454.
Katsounaros, I., Dortitsou, M., Polatides, C., Preston, S., Kypraios, T., Kyriacou, G. (2012). Reaction pathways in the electrochemical reduction of nitrate on tin. Electrochemica Acta, 71:270-276.
Miller, C.E., Batra, R., Patel, A.K., Klein, J., Otter, J., Cooper, B.S., Kypraios, T., Tosas, O., Edgeworth, J.D. (2012)$ An association between bacterial genotype combined with a high vancomycin MIC and risk of endocarditis in methicillin-resistant Staphylococcus aureus blood stream infection. Clinical Infectious Diseases 54(5):591-600.
Kypraios T., O’Neill P.D., Jones, D., Ware J., Edgeworth J.D. , Cooper B.S. (2011) Effect of systemic antibiotics and topical chlorhexidine on methicillin-resistant Staphylococcus aureus (MRSA) carriage in intensive care unit patients. Journal of Hospital Infections, 79(3):222-226.
Britton, T., Kypraios T., O’Neill P.D. (2011) Inference for Epidemics with Three Levels of Mixing: Methodology and Application to a Measles Outbreak. Scandinavian Journal of Statistics, 38(3):578-599.
Kypraios T., O’Neill P.D., Huang S., Rifas-Shiman, S.L., Cooper B.S. (2010) Assessing the role of undetected colonization and isolation precautions in reducing Methicillin-Resistant Staphylococcus aureus transmission in intensive care units BMC Infectious Diseases, 10:29.
Sotiropoulos, S.N., Jones D.E., Bai, L., Kypraios T. (2010) Exact and analytic Bayesian inference for orientation distribution functions. 2010 IEEE International Symposium on Biomedical Imaging From Nano to Macro, (2)3:1189-1192.
Kypraios, T. (2009). A note on maximum likelihood estimation of the number of initial number of susceptibles in the General Stochastic Epidemic model. Statistics and Probability and Letters, (79)18:1972-1976.
Jewell C.P., Kypraios T., Neal P., Roberts, G.O. (2009) Bayesian Analysis of Emerging Infectious Diseases. Bayesian Analysis, (4)2:191-222.
Jewell C.P., Kypraios T., Christley, R., Roberts, G.O (2008). A Novel Approach to Real-Time Risk-Prediction for Emerging Infectious Diseases: A Case Study in Avian Influenza H5N1. Preventive Veterinary Medicine Journal, (79)1:19-28
Kypraios T. (2007) Efficient Bayesian Inference for Partially Observed Stochastic Epidemics and A New Class of Semi-Parametric Time Series Models. PhD thesis.
NERC (Co-I, PI: Dr Dov Stekel) EVAL-FARMS: Evaluating the Threat of Antimicrobial Resistance in Agricultural Manures and Slurries; [£1,500,000]
UoN Data Driven Discovery Summer Internship Statistical Analysis of Twitter Data; [£2,000]
UoN Discipline Bridging Award (Co-PI, other PI: Dr Tracy Farr) Structural and functional connectivity changes to predict cognitive decline in a model of vascular cognitive impairment; [£5,000].
BBSRC (Co-I, PI: Dr Dov Stekel) High throughput analysis of cell growth data from phenotype arrays’; [£273,083].
EPSRC (PI): Bayesian Nonparametric Inference for Stochastic Epidemic Models; [£96,432].
Royal Society Research Equipment Grant (PI): Novel Statistical Methods for Imaging Brain Tissue Structure; [£9,600].
EPSRC Small Equipment Grant (PI): Monte Carlo Methods for Large-Scale Inference; [£8,500].
Wellome Trust Undergraduate Summer Bursary (PI): Modelling Brain Connectivity, [£1,440].
London Mathematical Society Undergraduate Summer Bursary (PI): Statistical methods for characterizing quantum devices; [£1,440].
EPSRC Research Development Fund (Co-PI): Advanced statistical Methods for Quantum Engineering; [£4,800].
University of Nottingham Early Career Research and Knowledge Transfer Award (PI): Modelling Brain Connectivity within a Bayesian framework using DW–MRI data; [£23,858].
EPSRC Research Development Fund (CoPI): Monte carlo estimation of parameters for large biological data sets using graphical processing units; [£ 8,904].
Nuffield Foundation Undergraduate Bursary (PI): Parameter Identification for Differential Equation Models [£1,440].
Pfizer Anti-Infectives Research Foundation (Co-I, PI: Dr Jonathan Edgeworth): Modelling Antimicrobial Use and and Transmission of Resistance in ICUs [£60,020].
London Mathematical Society Research Grant (PI): Modelling Internet Traffic Using Latent Branching Trees; [£480].
EPSRC Bridging the Gaps pump-prime funding (CoI): Exploring potential for novel methods of parametric inference for stochastic chemical kinetic models and applications in systems and synthetic biology; [£10,000].
Hospital Infection Society Travel Grant; [£350].
EPSRC Bridging the Gaps pump-prime funding (PI): Bayesian Inference for Diffusion-weighted Magnetic Resonance Images; [£3,000].
EPSRC Bridging the Gaps award (PI): A GIS approach to model the 2001 Foot and Mouth outbreak; [£2,900].
Invited talk at the Bayesian Inference of Epidemics satellite workshop at Bayes Comp 2023, Finland.
Invited seminar at the University of Warwick.
Invited seminar at the University of Manchester.
Invited talk at the Design and Analysis of Infectious Disease Studies workshop which took place at Mathematisches Forschungsinstitut Oberwolfach.
Plenary speaker at Research Students Conference in Probability and Statistics at the University of Nottingham.
Invited seminar at the University of Bristol.
Contributed talk to the 2021 World Meeting of the International Society for Bayesian Analysis (ISBA).
Contributed talk to the 12th Bayesian Inference for Stochastic Processes (BISP12).
Invited seminar at the University of Kent.
Invited seminar at the University of Sheffield.
Invited seminar at the University of Durham.
Invited seminar at Public Health England.
Invited talk at the Design and Analysis of Infectious Disease Studies workshop which took place at Mathematisches Forschungsinstitut Oberwolfach.
Invited seminar at University of Malya, Malaysia.
Invited talk at the Collegio Carlo Alberto, Turin, Italy.
Invited seminar at Liverpool University.
Invited Seminar at University College London.
Invited Seminar at Loughborough University.
Invited speaker at the Probability in North-East meeting at the University of Leeds.
Invited seminar at the School of Mathematics and Statistics at the University of Sheffield.
Keynote speaker at the 52nd Gregynog Statistical Conference.
Invited seminar at the Department of Mathematics and Statistics at the University of Newcastle.
Invited guest lecture on Bayesian Statistics at Cranfield University.
Contributed talk at the 9th Workshop on Bayesian Inference in Stochastic Processes in Istanbul.
Invited talk at the Workshop in High-dimensional problems and quantum physics in Paris.
Invited seminar at the Department of Engineering at the University of Cambridge.
Invited seminar at the Mathematical Challenges for Long Epidemic Time Series workshop at Warwick University.
Invited seminar at Lancaster University.
Invited talk at the 6th International Conference in Computational and Methodological Statistics, London.
Invited talk at the Design and Analysis of Infectious Disease Studies workshop which took place at Mathematisches Forschungsinstitut Oberwolfach.
Invited talk at the Swiss Meeting for Infectious Disease Dynamics, ETH, Zurich, Switzerland.
Invited talk at the From Spectral to Particle Filters workshop in the University of Reading.
Invited talk at the AMS Joint Statistical Meeting in Montreal in Canada.
Invited seminar at the University of Bath.
Invited seminar at Cranfield University.
Invited talk at the New Directions in Quantum Statistics conference in Nottingham.
Invited talk at the Workshop on Mathematical Modelling of Antibiotic Resistance (WARM) in Paris.
Invited talk at a Royal Statistical Society General Application Section meeting.
Invited talk at the Inference For Epidemic-related Risk conference in Warwick.
Invited seminar at the School of Mathematics in the University of Birmingham.
Invited talk at the ICMS workshop on Networks: Stochastic Models for Populations and Epidemics in Edinburgh.
Invited talk at the ABC Day workshop in the London School of Hygiene and Tropical Medicine.
Contributed talk at the Statistical modelling and inference for networks workshop in Bristol.
Invited seminar at the London School of Hygiene and Tropical Medicine.
Invited seminar at the Royal Statistical Society Manchester Local Group.
Invited seminar at the Inference Group in the Department of Computing Science at the University of Glasgow.
Invited seminar at the School of Mathematical and Computer Sciences at Heriot-Watt University.
Invited seminar at the National Institute Health Research seminar series at the Department of Statistics at the University of Warwick.
Invited seminar at the Department of Statistics, University of Warwick.
Invited seminar at the Cambridge Infectious Diseases Consortium.
Invited talk at the Design and Analysis of Infectious Disease Studies workshop which took place at Mathematisches Forschungsinstitut Oberwolfach.
Invited talk at the EPSRC Symposium Workshop on Markov Chain-Monte Carlo held at the University of Warwick.
Invited seminar at the Department of Statistics, London School of Economics.
Invited seminar at the School of Mathematical Sciences at the University of Newcastle.
Invited talk at a Spatio-temporal and Network Modelling of Diseases workshop in Tubingen, Germany.
Invited talk at the 2008 Royal Statistical Society Conference.
Invited briefing at the Health Protection Agency to the UK Government Chief Scientific Adviser.
Invited seminar at the Pasteur Institute in Paris.
Contributed talk at the Health Protection Conference held at the University of Warwick.
Invited talk at the Isaac Newton institute workshop on Stochastic Computation for the Analysis of Ecological and Epidemiological Data in Cambridge.
Invited talk at the 3rd Young Researchers Day at Louvain-la-Neuve University, Belgium.
Invited seminar at University Center for Statistics at the Katholieke Universiteit Leuven, Belgium.
Dr Mike Stout @ University of Nottingham (jointly with D.J. Stekel; Funded by BBSRC.)
Dr Edward Knock @ University of Nottingham; funded by EPSRC.)
Dr Edward Knock @ University of Nottingham; funded by the University of Nottingham.)
Simon White @ University of Nottingham; (jointly with S.P. Preston; funded by the University of Nottingham.)
Jose Manzano Patron @ University of Nottingham; jointly with S. Sotiropoulos.
Jake Powell @ University of Nottingham; jointly with R. Thul.
Rowland Seymour @ University of Nottingham; jointly with P.D. O’Neill.
George Aristotelous @ University of Nottingham; jointly with P.D. O’Neill
Jessica Stockdale @ University of Nottingham; jointly with P.D. O’Neill.
Rosanna Cassidy @ University of Nottingham; jointly with P.D. O’Neill.
Anirudh Acharya @ University of Nottingham; jointly with M. Guta.
Matthew Levitt. University of Nottingham; jointly with M. Guta.
Lisa Mott. University of Nottingham; jointly with C.J. Brignell.
Muteb Alharthi, University of Nottingham; jointly with P.D. O’Neill.
Kamonrat Supwahan. University of Nottingham; jointly with R.D. Willkinson.
Xiaoguang Xu.University of Nottingham; jointly with P.D. O’Neill.
Colin Worby. University of Nottingham; jointly with P.D. O’Neill.
Eleni Verykouki. University of Nottingham; jointly with P.D. O’Neill.
Sammie Fuller @ University of Nottingham; jointly with M. Pound & S. Maggi.
Jiale Tao @ University of Nottingham; jointly with K. Bharath.
Alice Thompson @ University of Nottingham; jointly with P.D. O’Neill.
Asmaa Albuqami @ University of Nottingham; jointly with P.D. O’Neill.
Matthew Thomas @ University of Nottingham; jointly with J. Kaler.
Joseph Marsh @ University of Nottingham; jointly with P.D. O’Neill.
Henry Todman @ University of Nottingham; jointly with D.J. Stekel & M. Baker.
Statistical Inference
(2019/2020, 2020/201, 2021/2022, 2022/2023, 2023/2024)
Data Analysis and Modelling
(2018/2019, 2019/2020, 2020/2021, 2021/2022, 2022/2023, 2023/2024)
Statistical Models and Methods
(2011/2012, 2012/2013, 2013/2014, 2014/2015, 2015/2016, 2016/2017, 2017/2018, 2018/2019)
Time Series and Forecasting
(2008/2009, 2009/2010, 2010/2011, 2011/2012, 2013/2014)
Fundamentals of Statistics
(2008/2009, 2009/2010, 2010/2011, 2011/2012, 2014/2015, 2015/2016, 2016/2017)
Probabilistic and Numerical Techniques for Engineers
(2012/2013)
Summer Institute in Statistics and Modeling in Infectious Diseases @ University of Washington, Seattle.
(Every summer since 2010)
A short course on Introduction in Bayesian Statistics
(2015/2016, 2016/2017, 2017/2018, 2018/2019, 2019/2020)
External Examiner (UG/PGT), Department of Actuarial Mathematics and Statistics, Heriott-Watt University.
External Examiner (UG/PGT), Department of Mathematics, Aberystywth University.
External Examiner (UG/PGT), School of Computings, Electronics and Mathematics, University of Plymouth.
Associate Editor, Statistical Science, Institute of Mathematical Statistics.
Guest Editor, Statistical Science, Institute of Mathematical Statistics.
Associate Editor, Journal of Mathematical Biosciences, Elsevier.
Associate Editor, Statistics and Computing, Springer.
Referee for Biometrika, Journal of American Statistical Association, Biostatistics, Annals of Applied Statistics, Statistics and Computing, Journal of Royal Statistical Society Series C, Plos One, IEEE Special Issue on Networks, Biometrics, Journal of Statistical Planning and Inference, Biometrical journal, AISTATS 2012, 2013 and 2014, Spatial and Spatio-temporal Epidemiology, Methods and Algorithms for Scientific Computing section of SISC, Plos Computational Biology, Epidemics.
Libray Liaison Officer, School of Mathematical Sciences, University of Nottingham.
Director of Resources, School of Mathematical Sciences, University of Nottingham.
Web Liaison Officer, School of Mathematical Sciences, University of Nottingham.
Director of International Affairs, School of Mathematical Sciences, University of Nottingham.
Statistics and Probability seminar organizer, School of Mathematical Sciences, University of Nottingham.
Member of the Royal Statistical Society Statistical Academic Advisory Group.
Member of the Royal Statistical Society Statistical Computing Section.
Member of the Royal Statistical Society Statistical Computing Section.
Committee Member of the Royal Statistical Society Computational Statistics and Machine Learning Section.
Fellow of Royal Statistical Society
Fellow of the Higher Education Academy
theodore.kypraios@nottingham.ac.uk • +44 (0)7804 227889 • http://www.maths.nottingham.ac.uk/~tk/