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» MCMC curve sampling and geometric conditional simulation
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CIMAGING
2008
104views Hardware» more  CIMAGING 2008»
13 years 6 months ago
MCMC curve sampling and geometric conditional simulation
We present an algorithm to generate samples from probability distributions on the space of curves. Traditional curve evolution methods use gradient descent to find a local minimum...
Ayres C. Fan, John W. Fisher III, Jonathan Kane, A...
SAC
2011
ACM
12 years 7 months ago
Parallel multivariate slice sampling
Slice sampling provides an easily implemented method for constructing a Markov chain Monte Carlo (MCMC) algorithm. However, slice sampling has two major drawbacks: (i) it requires...
Matthew M. Tibbits, Murali Haran, John C. Liechty
CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
13 years 9 months ago
On Lyapunov sampling for event-driven controllers
— This paper investigates an event condition for event-driven controllers based on Lyapunov functions. Considering that constant values of a Lyapunov function define contour cur...
Manel Velasco, Pau Martí, Enrico Bini
MA
2010
Springer
172views Communications» more  MA 2010»
13 years 3 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
CORR
2008
Springer
121views Education» more  CORR 2008»
13 years 4 months ago
Rate-Distortion via Markov Chain Monte Carlo
We propose an approach to lossy source coding, utilizing ideas from Gibbs sampling, simulated annealing, and Markov Chain Monte Carlo (MCMC). The idea is to sample a reconstructio...
Shirin Jalali, Tsachy Weissman