Mark L. Huber
Affiliations: | Mathematics | Duke University, Durham, NC |
Area:
MathematicsGoogle:
"Mark Huber"Children
Sign in to add trainee| Wai J. Law | grad student | 2009 | Duke |
| Sarah Schott | grad student | 2012 | Duke |
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Publications
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| Huber M, Marić N. (2019) Admissible Bernoulli correlations Journal of Statistical Distributions and Applications. 6: 1-8 |
| Huber ML. (2019) Halving the Bounds for the Markov, Chebyshev, and Chernoff Inequalities Using Smoothing American Mathematical Monthly. 126: 915-927 |
| Huber M, Jones B. (2019) Faster estimates of the mean of bounded random variables Mathematics and Computers in Simulation. 161: 93-101 |
| Banks J, Garrabrant SM, Huber ML, et al. (2018) Using TPA to count linear extensions Journal of Discrete Algorithms. 51: 1-11 |
| Huber M. (2017) Optimal Linear Bernoulli Factories for Small Mean Problems Methodology and Computing in Applied Probability. 19: 631-645 |
| HUBER M. (2016) Nearly Optimal Bernoulli Factories for Linear Functions Combinatorics Probability and Computing. 1-15 |
| Huber M, Schott S. (2014) Random construction of interpolating sets for high-dimensional integration Journal of Applied Probability. 51: 92-105 |
| Huber M. (2012) Spatial birth–death swap chains Bernoulli. 18: 1031-1041 |
| Huber ML, Law J. (2012) Simulation reduction of the Ising model to general matchings Electronic Journal of Probability. 17: 1-15 |
| Huber M, Schott S, Roberts G. (2012) Using TPA for Bayesian Inference Bayesian Statistics 9 |