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Practical Bayesian Inference Using Mixtures of Mixtures
Biometrics, 1996Discrete mixtures of normal distributions are widely used in modeling amplitude fluctuations of electrical potentials at synapses of human and other animal nervous systems. The usual framework has independent data values yj arising as yj = mu j + xn0 + j, where the means mu j come from some discrete prior G(mu) and the unknown xno + j's and observed xj,
Cao, Guoliang, West, Mike
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Natural Language Engineering, 1995
AbstractShannon (1948) showed that a wide range of practical problems can be reduced to the problem of estimating probability distributions of words and ngrams in text. It has become standard practice in text compression, speech recognition, information retrieval and many other applications of Shannon's theory to introduce a “bag-of-words” assumption ...
Kenneth Ward Church, William A. Gale
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AbstractShannon (1948) showed that a wide range of practical problems can be reduced to the problem of estimating probability distributions of words and ngrams in text. It has become standard practice in text compression, speech recognition, information retrieval and many other applications of Shannon's theory to introduce a “bag-of-words” assumption ...
Kenneth Ward Church, William A. Gale
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Risk Analysis, 1992
Human populations are generally exposed simultaneously to a number of toxicants present in the environment, including complex mixtures of unknown and variable origin. While scientific methods for evaluating the potential carcinogenic risks of pure compounds are relatively well established, methods for assessing the risks of complex mixtures are ...
D, Krewski, R D, Thomas
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Human populations are generally exposed simultaneously to a number of toxicants present in the environment, including complex mixtures of unknown and variable origin. While scientific methods for evaluating the potential carcinogenic risks of pure compounds are relatively well established, methods for assessing the risks of complex mixtures are ...
D, Krewski, R D, Thomas
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SIAM Review, 1977
This expository article develops the concepts of abstract convexity. Basic representation theorems are proved and discussed. The ideas are then applied to the behavioral, social and physical sciences. In particular, it is shown how convexity can be used in the study of color vision, decision theory, mathematical economics and quantum mechanics.
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This expository article develops the concepts of abstract convexity. Basic representation theorems are proved and discussed. The ideas are then applied to the behavioral, social and physical sciences. In particular, it is shown how convexity can be used in the study of color vision, decision theory, mathematical economics and quantum mechanics.
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2019
This chapter is concerned with methods for the analysis of data on outbreaks of infectious disease in which additional genomic information is available on the pathogen. Molecular typing data from viruses or bacteria isolated from individual patients can contain additional information on possible links in the contact network that have led to ...
Del Fava, E., Shkedy, Z.
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This chapter is concerned with methods for the analysis of data on outbreaks of infectious disease in which additional genomic information is available on the pathogen. Molecular typing data from viruses or bacteria isolated from individual patients can contain additional information on possible links in the contact network that have led to ...
Del Fava, E., Shkedy, Z.
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Asphalt mixtures emission and energy consumption: A review
Renewable and Sustainable Energy Reviews, 2017Enedir Ghisi, Liseane Padilha Thives
exaly
Bayesian Density Estimation and Inference Using Mixtures
Journal of the American Statistical Association, 1995Michael Escobar, Mike West
exaly