Nikolas Kantas
Title
Cited by
Cited by
Year
On particle methods for parameter estimation in state-space models
N Kantas, A Doucet, SS Singh, J Maciejowski, N Chopin
Statistical science 30 (3), 328-351, 2015
3582015
An overview of sequential Monte Carlo methods for parameter estimation in general state-space models
N Kantas, A Doucet, SS Singh, JM Maciejowski
IFAC Proceedings Volumes 42 (10), 774-785, 2009
2772009
Sequential Monte Carlo methods for high-dimensional inverse problems: A case study for the Navier--Stokes equations
N Kantas, A Beskos, A Jasra
SIAM/ASA Journal on Uncertainty Quantification 2 (1), 464-489, 2014
872014
On the convergence of adaptive sequential Monte Carlo methods
A Beskos, A Jasra, N Kantas, A Thiery
Annals of Applied Probability 26 (2), 1111-1146, 2016
772016
Simulation-based optimal sensor scheduling with application to observer trajectory planning
SS Singh, N Kantas, BN Vo, A Doucet, RJ Evans
Automatica 43 (5), 817-830, 2007
742007
Distributed maximum likelihood for simultaneous self-localization and tracking in sensor networks
N Kantas, SS Singh, A Doucet
IEEE Transactions on Signal Processing 60 (10), 5038-5047, 2012
642012
Sequential Monte Carlo for model predictive control
N Kantas, JM Maciejowski, A Lecchini-Visintini
Nonlinear model predictive control, 263-273, 2009
542009
Simulation‐based Bayesian optimal design of aircraft trajectories for air traffic management
N Kantas, A Lecchini‐Visintini, JM Maciejowski
International Journal of Adaptive Control and Signal Processing 24 (10), 882-899, 2010
282010
Gradient free parameter estimation for hidden Markov models with intractable likelihoods
E Ehrlich, A Jasra, N Kantas
Methodology and Computing in Applied Probability 17 (2), 315-349, 2015
25*2015
Linear variance bounds for particle approximations of time-homogeneous Feynman–Kac formulae
N Whiteley, N Kantas, A Jasra
Stochastic Processes and their Applications 122 (4), 1840-1865, 2012
192012
Particle Filtering for Stochastic Navier--Stokes Signal Observed with Linear Additive Noise
FP Llopis, N Kantas, A Beskos, A Jasra
SIAM Journal on Scientific Computing 40 (3), A1544-A1565, 2018
132018
Approximate inference for observation-driven time series models with intractable likelihoods
A Jasra, N Kantas, E Ehrlich
ACM Transactions on Modeling and Computer Simulation (TOMACS) 24 (3), 1-25, 2014
112014
Stability of model predictive control using Markov chain Monte Carlo optimisation
E Siva, P Goulart, J Maciejowski, N Kantas
2009 European Control Conference (ECC), 2851-2856, 2009
102009
Report 41: The 2020 SARS-CoV-2 epidemic in England: key epidemiological drivers and impact of interventions
E Knock, L Whittles, J Lees, P Perez Guzman, R Verity, R Fitzjohn, ...
9
Calculating principal eigen-functions of non-negative integral kernels: particle approximations and applications
N Whiteley, N Kantas
Mathematics of Operations Research 42 (4), 1007-1034, 2017
7*2017
Bayesian parameter inference for partially observed stopped processes
A Jasra, N Kantas, A Persing
Statistics and Computing 24 (1), 1-20, 2014
7*2014
Sequential decision making in general state space models
N Kantas
University of Cambridge, 2009
72009
Distributed online self-localization and tracking in sensor networks
N Kantas, SS Singh, A Doucet
2007 5th International Symposium on Image and Signal Processing and Analysis …, 2007
72007
The 2020 SARS-CoV-2 epidemic in England: key epidemiological drivers and impact of interventions
ES Knock, LK Whittles, JA Lees, PN Perez-Guzman, R Verity, RG FitzJohn, ...
medRxiv, 2021
62021
Distributed self localisation of sensor networks using particle methods
N Kantas, SS Singh, A Doucet
2006 IEEE Nonlinear Statistical Signal Processing Workshop, 164-167, 2006
62006
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