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Track-Before-Detect Using Expectation Maximisation

Samuel J. Davey, Han X. Gaetjens
Springer Singapore
117.69 € · Hardcover

PMHT timing uncertainty noisy temporal information stochastic time delay Viterbi algorithm nonlinear nonGaussian TkBD problems parametric mixture-fitting approach Kalman filter

This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the method. Beginning with basi...

Bayesian Inference

Hanns Ludwig Harney
Springer International Publishing
160.49 € · Hardcover

Bayesian Decision Theory Commuting Parameters Physics Data Analysis Physics Factorizing Parameters Physics Fitting Experimental Data Fourier Expansion Geometric Prior Distribution Histogram Coherent Alternative Histogram Fitting Multinomial Distribution Partial Form Invariance Statistical Analysis Physics Statistical Testing and Model Choice Symmetry Group Physics

This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This is particularly useful when the observed parameter is barely above the background or t...

Track-Before-Detect Using Expectation Maximisation

Samuel J. Davey, Han X. Gaetjens
Springer Singapore
106.99 € · eBook

PMHT timing uncertainty noisy temporal information stochastic time delay Viterbi algorithm nonlinear nonGaussian TkBD problems parametric mixture-fitting approach Kalman filter

This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the method. Beginning with basi...

Track-Before-Detect Using Expectation Maximisation

Samuel J. Davey, Han X. Gaetjens
Springer Singapore
85.59 € · Paperback

PMHT timing uncertainty noisy temporal information stochastic time delay Viterbi algorithm nonlinear nonGaussian TkBD problems parametric mixture-fitting approach Kalman filter

This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the method. Beginning with basi...

Bayesian Inference

Hanns Ludwig Harney
Springer International Publishing
106.99 € · eBook

Bayesian Decision Theory Commuting Parameters Physics Data Analysis Physics Factorizing Parameters Physics Fitting Experimental Data Fourier Expansion Geometric Prior Distribution Histogram Coherent Alternative Histogram Fitting Multinomial Distribution Partial Form Invariance Statistical Analysis Physics Statistical Testing and Model Choice Symmetry Group Physics

This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This is particularly useful when the observed parameter is barely above the background or t...

Bayesian Inference

Hanns Ludwig Harney
Springer International Publishing
117.69 € · Paperback

Bayesian Decision Theory Commuting Parameters Physics Data Analysis Physics Factorizing Parameters Physics Fitting Experimental Data Fourier Expansion Geometric Prior Distribution Histogram Coherent Alternative Histogram Fitting Multinomial Distribution Partial Form Invariance Statistical Analysis Physics Statistical Testing and Model Choice Symmetry Group Physics

This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This is particularly useful when the observed parameter is barely above the background or t...

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