| Efficient Bayesian inference for COM-Poisson regression models C Chanialidis, L Evers, T Neocleous, A Nobile Statistics and computing 28, 595-608, 2018 | 65 | 2018 |
| Evaluating squat performance with a single inertial measurement unit M O'Reilly, D Whelan, C Chanialidis, N Friel, E Delahunt, T Ward, ... 2015 IEEE 12th International Conference on Wearable and Implantable Body …, 2015 | 47 | 2015 |
| Bayesian mixture models for count data C Chanialidis University of Glasgow, 2015 | 8 | 2015 |
| Enabling active learning in large classes through the use of Plickers C Chanialidis | 7 | 2019 |
| Retrospective sampling in MCMC with an application to COM‐Poisson regression C Chanialidis, L Evers, T Neocleous, A Nobile Stat 3 (1), 273-290, 2014 | 5 | 2014 |
| Bayesian density regression for count data C Chanialidis, L Evers, T Neocleous 21st International Conference on Computational Statistics (COMPSTAT 2014 …, 2014 | 2 | 2014 |
| The Use of Technology and Social Media in Teaching Statistics C Chanialidis ICOTS 10, 1-3, 2018 | 1 | 2018 |
| Discussion of Henning and Liao: How to find an appropriate clustering for mixed type variables with application to socio-economic stratification. Journal of the Royal … C Chanialidis, P Craigmile, V Davies, N Dean, L Evers, M Filiippone, ... Springer, 2013 | | 2013 |
Tereza NeocleousSenior Lecturer in Statistics, University of GlasgowVerified email at glasgow.ac.uk
Tereza NeocleousSenior Lecturer in Statistics, University of GlasgowVerified email at glasgow.ac.uk