Aaron Smith
University of Ottawa
69 Papers
397 Citations
Aaron Smith is an academic researcher from University of Ottawa. The author has contributed to research in topics: Markov chain Monte Carlo & Markov chain. The author has an hindex of 15, co-authored 68 publications. Previous affiliations of Aaron Smith include Stanford University.
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Papers
Rapamycin and IL-2 reduce lethal acute graft-versus-host disease associated with increased expansion of donor type CD4+CD25+Foxp3+ regulatory T cells
Ho-Jin Shin,Ho-Jin Shin,Jeanette Baker,Dennis B. Leveson-Gower,Aaron Smith,Emanuela I. Sega,Robert S. Negrin +6 more
TL;DR: These studies indicate that the pharmacologic stimulation of T cells with IL-2 and the suppression of Tcon proliferation with RAPA result in a selective expansion of functional Tregs and suppression of acute GVHD.
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Rapid Mixing of Hamiltonian Monte Carlo on Strongly Log-Concave Distributions
Oren Mangoubi,Aaron Smith +1 more
TL;DR: In this paper, the mixing properties of the Hamiltonian Monte Carlo (HMC) algorithm for a strongly log-concave target distribution were studied and it was shown that HMC mixes quickly in this setting.
124
Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations
TL;DR: The ergodicity of the approximate Markov chain is proved, showing that it samples asymptotically from the exact posterior distribution of interest, and variations of the algorithm that employ either local polynomial approximations or local Gaussian process regressors are described.
123
Family Mediation of Stress
TL;DR: It is important to emphasize family as well as individual reactions in coping with stress since the family has a unique responsibility for mediating the reactions of its members.
118
Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations
TL;DR: In this paper, local approximations of these models are introduced into the Metropolis-Hastings kernel, borrowing ideas from deterministic approximation theory, optimization, and experimental design.
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