Peters, Gareth W.

1. Efficient Sequential Monte-Carlo Samplers for Bayesian Inference
   2015/04/22 by Thi Le Thu Nguyen, François Septier, Nguyen, Thi Le Thu +5 · 3 citations
   Computer Science · Mathematics · #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
2. Parameter Estimation for Hidden Markov Models with Intractable Likelihoods
   2011/03/28 by Thomas A. Dean, Dean, Thomas A., Sumeetpal S. Singh +5 · 2 citations
   Computer Science · Mathematics · #62F12 #65C05 #Algorithms and Data Compression #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Primary: 62M09 #Secondary: 62B99 #Statistics Theory (math.ST)
3. Ecological non-linear state space model selection via adaptive particle Markov chain Monte Carlo (AdPMCMC)
   2010/05/13 by Gareth W. Peters, Peters, Gareth W., Geoff R. Hosack +3 · 1 citation
   Mathematics · Social Sciences · #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences #Insurance, Mortality, Demography, Risk Management #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
4. Cyber Risk Frequency, Severity and Insurance Viability
   2021/11/05 by Malavasi, Matteo, Peters, Gareth W., Shevchenko, Pavel V. +3 · 1 citation
   #FOS: Economics and business #Risk Management (q-fin.RM)
5. Signature Isolation Forest
   2024/03/07 by Campi, Marta, Staerman, Guillaume, Peters, Gareth W. +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)