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====== Thesis ====== Code for M.Sc. Thesis "Bayesian state-space model estimation of canopy height with next-generation space-borne LiDAR" Would like to rework someday as it is a bit of an unholy mess. Dependencies ============ Python 2.7+ scipy pylab pykalman pandas Contents ======== Scripts ------- sampler.py Main script to create and execute Gibbs sampler multisampler.py Main script to create and execute Gibbs sampler (multiple in paralell) simulate_data.py Script to generate data from model vis_results.py Script to produce visualization of sampler results. vis_data.py Script to produce visualization of data/simulation. Modules ------- gibbs.py Library containing Gibbs sampler and related classes misc.py Miscellaneous functions stats_util.py Some random variable classes and functions model_simulation_*.py Model spec and FCPs for various simulation/models model_simulation_eta.py Latest model specification (used in thesis)
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Code from my M.Sc. thesis "Bayesian state-space model estimation of canopy height with next-generation space-borne LiDAR".
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