Langevin Analysis in One and Two Dimensions
c(person('David', 'Bastine', role='ctb'),
person('Pedro G.', 'Lind', role='aut'),
person('Philip', 'Rinn', email='philip.rinn@uni-oldenburg.de',
role=c('aut','cre')))
Estimate drift and diffusion functions from time series and
generate synthetic time series from given drift and diffusion coefficients.
David Bastine [ctb],
Pedro G. Lind [aut],
Philip Rinn [aut, cre]

c(person('Philip', 'Rinn', email='philip.rinn@uni-oldenburg.de',
role=c('aut','cre')), person('Pedro G.', 'Lind', role='aut'),
person('David', 'Bastine', role='ctb'))
Philip Rinn [aut, cre],
Pedro G. Lind [aut],
David Bastine [ctb]

Laplace Deconvolution with Noisy Discrete Non-Equally Spaced
Observations on a Finite Time Interval
Yves Rozenholc (University Paris Descartes), Marianna Pensky (University of Central Florida)
Solves the problem of Laplace deconvolution with noisy discrete non-equally spaced observations on a finite time interval based on expansions of the convolution kernel, the unknown function and the observed signal over Laguerre functions basis. It implements the methodology proposed in the paper "Laplace deconvolution on the basis of time domain data and its application to Dynamic Contrast Enhanced imaging" by F. Comte, C-A. Cuenod, M. Pensky and Y. Rozenholc in ArXiv (http://arxiv.org/abs/1405.7107).

Yves Rozenholc (University Paris Descartes), Marianna Pensky (University
of Central Florida)
Solves the problem of Laplace deconvolution with noisy discrete
non-equally spaced observations on a finite time interval based on expansions
of the convolution kernel, the unknown function and the observed signal over
Laguerre functions basis. It implements the methodology proposed in the paper
"Laplace deconvolution on the basis of time domain data and its application to
Dynamic Contrast Enhanced imaging" by F. Comte, C-A. Cuenod, M. Pensky and Y.
Rozenholc in ArXiv (http://arxiv.org/abs/1405.7107).

Laplace's Demon: Software for Bayesian Inference
Laplace's Demon is MCMC-based software for Bayesian
inference, written entirely in R.