| Understanding modern banking ledgers through blockchain technologies: Future of transaction processing and smart contracts on the internet of money GW Peters, E Panayi Banking beyond banks and money: A guide to banking services in the twenty …, 2016 | 1041 | 2016 |
| Trends in crypto-currencies and blockchain technologies: A monetary theory and regulation perspective GW Peters, E Panayi, A Chapelle arXiv preprint arXiv:1508.04364, 2015 | 318 | 2015 |
| Fundamental aspects of operational risk and insurance analytics: A handbook of operational risk MG Cruz, GW Peters, PV Shevchenko John Wiley & Sons, 2015 | 149 | 2015 |
| Bayesian Inference, Monte Carlo Sampling and Operational Risk. G Peters, S Sisson Peters GW and Sisson SA (2006)“Bayesian Inference, Monte Carlo Sampling and …, 2006 | 125 | 2006 |
| Parameter estimation for hidden Markov models with intractable likelihoods TA Dean, SS Singh, A Jasra, GW Peters Scandinavian Journal of Statistics 41 (4), 970-987, 2014 | 110 | 2014 |
| On sequential Monte Carlo, partial rejection control and approximate Bayesian computation GW Peters, Y Fan, SA Sisson Statistics and Computing 22, 1209-1222, 2012 | 98 | 2012 |
| Model uncertainty in claims reserving within Tweedie's compound Poisson models GW Peters, PV Shevchenko, MV Wüthrich ASTIN Bulletin: The Journal of the IAA 39 (1), 1-33, 2009 | 84 | 2009 |
| Likelihood-free Bayesian inference for α-stable models GW Peters, SA Sisson, Y Fan Computational Statistics & Data Analysis 56 (11), 3743-3756, 2012 | 78 | 2012 |
| Advances in heavy tailed risk modeling: A handbook of operational risk GW Peters, PV Shevchenko John Wiley & Sons, 2015 | 68 | 2015 |
| Distributed detection in sensor networks over fading channels with multiple antennas at the fusion centre I Nevat, GW Peters, IB Collings IEEE transactions on signal processing 62 (3), 671-683, 2013 | 67 | 2013 |
| Dynamic operational risk: modeling dependence and combining different sources of information GW Peters, PV Shevchenko, MV Wüthrich arXiv preprint arXiv:0904.4074, 2009 | 64 | 2009 |
| Langevin and Hamiltonian based sequential MCMC for efficient Bayesian filtering in high-dimensional spaces F Septier, GW Peters IEEE Journal of selected topics in signal processing 10 (2), 312-327, 2015 | 63 | 2015 |
| Optimal information-theoretic wireless location verification S Yan, R Malaney, I Nevat, GW Peters IEEE Transactions on Vehicular Technology 63 (7), 3410-3422, 2014 | 62 | 2014 |
| Severe uncertainty and info‐gap decision theory KR Hayes, SC Barry, GR Hosack, GW Peters Methods in Ecology and Evolution 4 (7), 601-611, 2013 | 55 | 2013 |
| Random field reconstruction with quantization in wireless sensor networks I Nevat, GW Peters, IB Collings IEEE Transactions on Signal Processing 61 (23), 6020-6033, 2013 | 48 | 2013 |
| A unified approach to mortality modelling using state-space framework: characterisation, identification, estimation and forecasting MC Fung, GW Peters, PV Shevchenko Annals of Actuarial Science 11 (2), 343-389, 2017 | 47 | 2017 |
| Topics in sequential Monte Carlo samplers G Peters Available at SSRN 3785582, 2005 | 46 | 2005 |
| Efficient sequential Monte-Carlo samplers for Bayesian inference TLT Nguyen, F Septier, GW Peters, Y Delignon IEEE Transactions on Signal Processing 64 (5), 1305-1319, 2015 | 44 | 2015 |
| Chain ladder method: Bayesian bootstrap versus classical bootstrap GW Peters, MV Wüthrich, PV Shevchenko Insurance: Mathematics and Economics 47 (1), 36-51, 2010 | 44 | 2010 |
| A feature-ranking framework for IoT device classification BA Desai, DM Divakaran, I Nevat, GW Peter, M Gurusamy 2019 11th International conference on communication systems & networks …, 2019 | 42 | 2019 |
