Artiklar med krav på offentlig åtkomst - Aaron SmithLäs mer
Tillgängliga någonstans: 20
Accelerating asymptotically exact MCMC for computationally intensive models via local approximations
PR Conrad, YM Marzouk, NS Pillai, A Smith
Journal of the American Statistical Association 111 (516), 1591-1607, 2016
Krav: US Department of Energy, Natural Sciences and Engineering Research Council …
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions: Continuous dynamics
O Mangoubi, A Smith
The Annals of Applied Probability 31 (5), 2019-2045, 2021
Krav: Natural Sciences and Engineering Research Council of Canada
MCMC for imbalanced categorical data
JE Johndrow, A Smith, N Pillai, DB Dunson
Journal of the American Statistical Association, 2019
Krav: US National Science Foundation, US National Institutes of Health, Natural …
The use of a single pseudo-sample in approximate Bayesian computation
L Bornn, NS Pillai, A Smith, D Woodard
Statistics and Computing 27, 583-590, 2017
Krav: US National Science Foundation, US Department of Defense, Natural Sciences …
Parallel local approximation MCMC for expensive models
PR Conrad, AD Davis, YM Marzouk, NS Pillai, A Smith
SIAM/ASA Journal on Uncertainty Quantification 6 (1), 339-373, 2018
Krav: US Department of Energy, US Department of Defense, Natural Sciences and …
Rapid mixing of geodesic walks on manifolds with positive curvature
O Mangoubi, A Smith
The Annals of Applied Probability 28 (4), 2501-2543, 2018
Krav: Natural Sciences and Engineering Research Council of Canada
Kac’s walk on -sphere mixes in steps
NS Pillai, A Smith
Krav: US Department of Defense, Natural Sciences and Engineering Research Council …
On the mixing time of Kac’s walk and other high-dimensional Gibbs samplers with constraints
NS Pillai, A Smith
The Annals of Probability 46 (4), 2345-2399, 2018
Krav: US Department of Defense, Natural Sciences and Engineering Research Council …
Mixing times for a constrained Ising process on the torus at low density
NS Pillai, A Smith
Krav: US Department of Defense, Natural Sciences and Engineering Research Council …
Fast and memory-optimal dimension reduction using Kac’s walk
V Jain, NS Pillai, A Sah, M Sawhney, A Smith
The Annals of Applied Probability 32 (5), 4038-4064, 2022
Krav: US Department of Defense
Reconstruction of line-embeddings of graphons
J Janssen, A Smith
Electronic Journal of Statistics 16 (1), 331-407, 2022
Krav: Natural Sciences and Engineering Research Council of Canada
Rate-optimal refinement strategies for local approximation MCMC
AD Davis, Y Marzouk, A Smith, N Pillai
Statistics and Computing 32 (4), 60, 2022
Krav: US Department of Energy, US Department of Defense, Natural Sciences and …
Elementary bounds on mixing times for decomposable Markov chains
NS Pillai, A Smith
Stochastic Processes and their Applications 127 (9), 3068-3109, 2017
Krav: US Department of Defense, Natural Sciences and Engineering Research Council …
The cutoff phenomenon for random birth and death chains
A Smith
Random Structures & Algorithms 50 (2), 287-321, 2017
Krav: Natural Sciences and Engineering Research Council of Canada
Cutoff for the square plaquette model on a critical length scale
P Chleboun, A Smith
The Annals of Applied Probability 31 (2), 668-702, 2021
Krav: Natural Sciences and Engineering Research Council of Canada
Bounds on lifting continuous-state Markov chains to speed up mixing
K Ramanan, A Smith
Journal of Theoretical Probability 31, 1647-1678, 2018
Krav: US National Science Foundation, Natural Sciences and Engineering Research …
Mixing of the square plaquette model on a critical length scale
P Chleboun, A Smith
Krav: Natural Sciences and Engineering Research Council of Canada
Simple conditions for metastability of continuous Markov chains
O Mangoubi, N Pillai, A Smith
Journal of Applied Probability 58 (1), 83-105, 2021
Krav: US National Science Foundation, US Department of Defense, Natural Sciences …
Existence of matching priors on compact spaces
H Duanmu, DM Roy, A Smith
Biometrika 110 (3), 763-776, 2023
Krav: Natural Sciences and Engineering Research Council of Canada
Perturbation analysis of Markov chain Monte Carlo for graphical models
N Lin, Y Liu, A Smith
Journal of Applied Probability, 1-22, 2023
Krav: Natural Sciences and Engineering Research Council of Canada, National …
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