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Exact recording of Metropolis-Hastings-class Monte Carlo simulations using one bit per sample
Markov chain Monte Carlo Metropolis-Hastings information theory data representation
2011/6/21
The Metropolis-Hastings (MH) algorithm is the prototype for a class of Markov chain Monte Carlo methods
that propose transitions between states and then accept or reject the proposal. These methods g...
Data Driven Computing by the Morphing Fast Fourier Transform Ensemble Kalman Filter in Epidemic Spread Simulations
Data Driven Computing Morphing Fast Fourier Transform Ensemble Kalman Filter Epidemic Spread Simulations
2010/3/11
The FFT EnKF data assimilation method is proposed and applied to a stochastic
cell simulation of an epidemic, based on the S-I-R spread model. The FFT EnKF
combines spatial statistics and ensemble f...
Combining Experimental Data and Computer Simulations, With an Application to Flyer Plate Experiments
calibration computer experiments flyer plate experiments Gaussian process model validation predictability predictive science
2009/9/21
A flyer plate experiment involves forcing a plane shock wave through
stationary test samples of material and measuring the free surface velocity of the
target as a function of time. These experiment...
Simulations and Conjectures for Disconnection Exponents
Brownian Motion Disconnection Exponents
2009/5/12
Using Monte-Carlo simulations, we estimate numerically disconnection exponents for planar Brownian motions. These simulations tend to confirm conjectures by Duplantier and Mandelbrot.
