Prof. Dr. Gareth W. Peters
Prof. Dr. Gareth W. Peters
Duncan Endowed Chair Actuarial & Professor of Statistics for Risk & Insurance
Verified email at - Homepage
Cited by
Cited by
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
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
Fundamental aspects of operational risk and insurance analytics: A handbook of operational risk
MG Cruz, GW Peters, PV Shevchenko
John Wiley & Sons, 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
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
On sequential Monte Carlo, partial rejection control and approximate Bayesian computation
GW Peters, Y Fan, SA Sisson
Statistics and Computing 22, 1209-1222, 2012
Model uncertainty in claims reserving within Tweedie's compound Poisson models
GW Peters, PV Shevchenko, MV WŁthrich
ASTIN Bulletin: The Journal of the IAA 39 (1), 1-33, 2009
Likelihood-free Bayesian inference for α-stable models
GW Peters, SA Sisson, Y Fan
Computational Statistics & Data Analysis 56 (11), 3743-3756, 2012
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
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
Advances in heavy tailed risk modeling: A handbook of operational risk
GW Peters, PV Shevchenko
John Wiley & Sons, 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
Dynamic operational risk: modeling dependence and combining different sources of information
GW Peters, PV Shevchenko, MV WŁthrich
arXiv preprint arXiv:0904.4074, 2009
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
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
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
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
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
Topics in sequential Monte Carlo samplers
G Peters
Available at SSRN 3785582, 2005
Quantifying the uncertain effects of climate change on building energy consumption across the United States
JA Fonseca, I Nevat, GW Peters
Applied Energy 277, 115556, 2020
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