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Pierre Nyquist
Pierre Nyquist
Chalmers University of Technology, University of Gothenburg
Verified email at chalmers.se - Homepage
Title
Cited by
Cited by
Year
Large deviations for multidimensional state-dependent shot-noise processes
A Budhiraja, P Nyquist
Journal of Applied Probability 52 (4), 1097-1114, 2015
242015
A large deviations analysis of certain qualitative properties of parallel tempering and infinite swapping algorithms
J Doll, P Dupuis, P Nyquist
Applied Mathematics & Optimization 78, 103-144, 2018
132018
Large deviations for the empirical measure of the zig-zag process
J Bierkens, P Nyquist, MC Schlottke
The Annals of Applied Probability 31 (6), 2811-2843, 2021
92021
Large deviations and gradient flows for the Brownian one-dimensional hard-rod system
M Peletier, N Gavish, P Nyquist
Potential Analysis, 1-51, 2021
82021
Large deviations for weighted empirical measures arising in importance sampling
H Hult, P Nyquist
Stochastic Processes and their Applications 126 (1), 138-170, 2016
82016
Min-max representations of viscosity solutions of Hamilton-Jacobi equations and applications in rare-event simulation
B Djehiche, H Hult, P Nyquist
arXiv preprint arXiv:1406.3605, 0
6
Infinite swapping algorithm for training restricted Boltzmann machines
H Hult, P Nyquist, C Ringqvist
Monte Carlo and Quasi-Monte Carlo Methods: MCQMC 2018, Rennes, France, July …, 2020
42020
Moderate deviation principles for importance sampling estimators of risk measures
P Nyquist
Journal of Applied Probability 54 (2), 490-506, 2017
32017
Quasistationary distributions and ergodic control problems
A Budhiraja, P Dupuis, P Nyquist, GJ Wu
Stochastic Processes and their Applications 145, 143-164, 2022
12022
Min-max representations of viscosity solutions of Hamilton-Jacobi equations
B Djehiche, H Hult, P Nyquist
Preprint, 2019
12019
Thermodynamic integration methods, infinite swapping, and the calculation of generalized averages
JD Doll, P Dupuis, P Nyquist
The Journal of Chemical Physics 146 (13), 2017
12017
On large deviations and design of efficient importance sampling algorithms
P Nyquist
KTH Royal Institute of Technology, 2014
12014
A mathematical investigation of breast cancer and tumor growth
H MATTSSON, P NYQUIST
Statistical analysis and stochastic modelling 2009 [MS thesis], 2009
12009
UQSA--An R-Package for Uncertainty Quantification and Sensitivity Analysis for Biochemical Reaction Network Models
A Kramer, F Milinanni, P Nyquist, A Jauhiainen, O Eriksson
arXiv preprint arXiv:2308.05527, 2023
2023
A large deviation principle for the empirical measures of Metropolis-Hastings chains
F Milinanni, P Nyquist
arXiv preprint arXiv:2304.02775, 2023
2023
A weak convergence approach to large deviations for stochastic approximations
H Hult, A Lindhe, P Nyquist, GJ Wu
2023
On the projected Aubry set of the rate function associated with large deviations for stochastic approximations
H Hult, A Lindhe, P Nyquist
2023
A note on large deviations for interacting particle dynamics for finding mixed equilibria in zero-sum games
V Nilsson, P Nyquist
arXiv preprint arXiv:2206.15177, 2022
2022
Sensitivity Approximation by the Peano-Baker Series
O Eriksson, A Kramer, F Milinanni, P Nyquist
arXiv preprint arXiv:2109.00067, 2021
2021
Importance sampling for a Markovian intensity model with applications to credit risk
B Djehiche, H Hult, P Nyquist
2014
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