327 citations
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6 papers · 1 filter
Parallel Markov Chain Monte Carlo for Bayesian Hierarchical Models with Big Data, in Two Stages
Zheng Wei, Erin M. Conlon
Due to the escalating growth of big data sets in recent years, new Bayesian Markov chain Monte Carlo (MCMC) parallel computing methods have been developed. These methods partition…
Local unitary periods and relative discrete series
Jerrod Manford Smith
Let be a -adic field (), let be a quadratic Galois extension of , and let . We construct representations in the discrete spectrum of the -adic s…
The Boltzmann distribution and the quantum-classical correspondence
Sam Alterman, Jaeho Choi, Rebecca Durst +2
In this paper we explore the following question: can the probabilities constituting the quantum Boltzmann distribution, , be derived from a requirement t…
Uncertainty Quantification for High Dimensional Sparse Nonparametric Additive Models
Qi Gao, Randy C. S. Lai, Thomas C. M. Lee +1
Statistical inference in high dimensional settings has recently attracted enormous attention within the literature. However, most published work focuses on the parametric linear re…
Reinterpreting Maximum Entropy in Ecology: a null hypothesis constrained by ecological mechanism
James P. O'Dwyer, Andrew Rominger, Xiao Xiao
Simplified mechanistic models in ecology have been criticized for the fact that a good fit to data does not imply the mechanism is true: pattern does not equal process. In parallel…
Investigating the Role of Socially Mediated Metacognition During Collaborative Troubleshooting of Electric Circuits
Kevin L. Van De Bogart, Dimitri R. Dounas-Frazer, H. J. Lewandowski +1
Developing students' ability to troubleshoot is an important learning outcome for many undergraduate physics lab courses, especially electronics courses. In other work, metacogniti…