## Bayesian Inference and Maximum Entropy Methods in Science and EngineeringAmerican Institute of Physics, 2001 - Mathematics |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

An Appreciation of Richard Threlkeld Cox | 3 |

Bayesian Estimation of Time Series Lags and Structure | 23 |

Penalized Maximum Likelihood for Multivariate Gaussian Mixture | 36 |

Copyright | |

30 other sections not shown

### Other editions - View all

### Common terms and phrases

2002 American Institute algorithm amplitudes analysis answer applied approach assertions assume Bayes Bayesian Inference Bayesian Methods coefficients compute condition consider constraints corresponding covariance cybernetic deconvolution defined denote derived dynamics edited by R. L. emission entropic prior equilibrium estimate example expectation values experimental Figure Fokker-Planck equation Fourier function Gaussian Gibbs given hyperparameters Inference and Maximum information theory input International Workshop inverse problems iteration Jaynes Lagrange multiplier Laplace's equation likelihood likelihood function linear logical mathematical MaxEnt maximizing Maximum Entropy Methods MCMC mean measure mesostate Methods in Science microstates minimum mixture neuron noise normal object classes observations obtained parameters particles Phys possible posterior distribution potential principle probability distribution quantities quasilinear question R. L. Fry random reconstruction represents sample Science and Engineering sensor Shannon signal simulated solution space stationary statistical Theorem thermodynamics uncertainty variables variance vector wavelet zero