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Juan Kuntz
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Bounding the stationary distributions of the chemical master equation via mathematical programming
J Kuntz, P Thomas, GB Stan, M Barahona
The Journal of chemical physics 151 (3), 2019
362019
Stationary distributions of continuous-time Markov chains: a review of theory and truncation-based approximations
J Kuntz, P Thomas, GB Stan, M Barahona
SIAM Review 63 (1), 3-64, 2021
312021
Bounding stationary averages of polynomial diffusions via semidefinite programming
J Kuntz, M Ottobre, GB Stan, M Barahona
SIAM Journal on Scientific Computing 38 (6), A3891-A3920, 2016
282016
The exit time finite state projection scheme: bounding exit distributions and occupation measures of continuous-time Markov chains
J Kuntz, P Thomas, GB Stan, M Barahona
SIAM Journal on Scientific Computing 41 (2), A748-A769, 2019
212019
Diffusion limit for the Random Walk Metropolis algorithm out of stationarity
J Kuntz, M Ottobre, AM Stuart
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 55 (3 …, 2019
15*2019
Model reduction of genetic-metabolic networks via time scale separation
J Kuntz, D Oyarzún, GB Stan
A systems theoretic approach to systems and synthetic biology I: models and …, 2014
142014
The divide-and-conquer sequential Monte Carlo algorithm: theoretical properties and limit theorems
J Kuntz, FR Crucinio, AM Johansen
The Annals of Applied Probability 34 (1B), 1469-1523, 2024
102024
Non-stationary phase of the MALA algorithm
J Kuntz, M Ottobre, AM Stuart
Stochastics and Partial Differential Equations: Analysis and Computations 6 …, 2018
102018
Particle algorithms for maximum likelihood training of latent variable models
J Kuntz, JN Lim, AM Johansen
International Conference on Artificial Intelligence and Statistics, 2023
92023
Approximations of countably-infinite linear programs over bounded measure spaces
J Kuntz, P Thomas, GB Stan, M Barahona
SIAM Journal on Optimization 31 (1), 604-625, 2021
9*2021
Product-form estimators: exploiting independence to scale up Monte Carlo
J Kuntz, FR Crucinio, AM Johansen
Statistics and Computing 32 (1), 12, 2022
82022
Deterministic approximation schemes with computable errors for the distributions of Markov chains
J Kuntz
Imperial College London, 2017
82017
Markov chains revisited
J Kuntz
arXiv preprint arXiv:2001.02183, 2020
42020
Momentum Particle Maximum Likelihood
JN Lim, J Kuntz, S Power, AM Johansen
arXiv preprint arXiv:2312.07335, 2023
12023
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
R Caprio, J Kuntz, S Power, AM Johansen
arXiv preprint arXiv:2403.02004, 2024
2024
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Articles 1–15