generalized Gaussian distribution density models
Stable Graphical Models
... network models of gene expression profiles are a popular tool (Friedman et ...network models of gene expression involves learning linear regression- based Gaussian graphical ...the ...
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Generalized Exponential Models with Applications
... a generalized exponential model whose exact moments and normalizing con- stant are obtained in terms of Meijer’s generalized hypergeometric ...The generalized inverse Gaussian ...
137
Confluent gamma density in modelling tsunami interevent times
... the distribution of interevent times, conducted by Geist and Parsons (2008) concludes that there occurs many short interevent times than expected from an exponential distribution associated with a ...
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The design of an optimal Bonus-Malus System based on the Sichel distribution
... Sichel distribution for assessing claim ...Binomial distribution (Lemaire, 1995). In fact the Sichel distribution (Sichel, 1985) differs from the standard Neg- ative Binomial one by using an ...
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On the Distribution of Quadratic Expressions in Various Types of Random Vectors
... The distribution of quadratic forms and quadratic expressions in nonsingular and singular Gaussian vectors is discussed in Chapter ...Pearson-type density function or generalized gamma-type ...
164
Generalized linear models
... As Birch (1963) has shown, the estimation of a set of independent multinomial distributions is equivalent to the estimation of a set of independent Poisson distributions, and in[r] ...
16
Statistical Models of the Troposphere Refractive Index
... temporal distribution of the refractive index ...vertical distribution of N, making of its statistical model provides the great interest to predict the range of the radio systems for various applications, ...
7
Density-based mixed platoon dispersion modelling with truncated mixed Gaussian distribution of speed
... normal distribution of ...geometric distribution of travel ...that distribution of vehicle’s travel time is not always a shifted geometric distribution as in Robertson ’ s model, but more ...
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Exploring the density dependent structure of blowfly populations by nonparametric additive modeling
... metric models have the benefits of easy interpretation and a well-developed inferential ...the density-dependent ...nonparametric models are potentially very use- ...such models allow the data ...
14
A Literature Survey on Image Denoising Techniques
... non- Gaussian bivariate distributions are proposed, and corresponding nonlinear threshold functions are derived from the models using Bayesian estimation ...
5
Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution
... both models, which does not hold for this dataset, therefore it is not surprising that the models do not find the correct clustering structure although they can closely estimate the ...
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A Novel Blind Image Watermark Detection Algorithm Based on Generalized Gaussian Distribution
... Applying Generalized Gaussian Distribution to statistically model the Alternating Current coefficient of discrete cosine transform, an adaptive blind watermark detection algorithm is proposed on the ...
6
STUDY OF SPI FRAMEWORK FOR CMMI CONTINUOUS MODEL BASED ON QFD
... Stochastic distribution system. The non–Gaussian Stochastic distribution control aims to control the shape of the system output probability density function(PDF) to track the shape of the ...
11
Superresolution Imaging for Forward-Looking Scanning Radar with Generalized Gaussian Constraint
... The Generalized Gaussian distribution is considered as the prior information of target scattering coefficient in MAP approach for the reason that it could express different target scattering coefficient ...
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QTL mapping of soybean cyst nematode race 9: a generalized linear modeling approach
... normal distribution such as composite interval mapping ...a generalized linear modeling (GLM) approach was employed to map QTL for resistance to race 9 of the soybean cyst nematode (SCN) using a total of 83 ...
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A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings
... embedding models, such as word2vec (Mikolov et ...a distribution over the latent ...localized Gaussian distribution over the embedding ...the Gaussian distributions as con- cept ...the ...
7
A Multivariate Student’s t Distribution
... the standard deviation of the distribution. An example with n = 4 is used to provide concrete examples. Consider the transformation [ ] [ ][ ] y = M x where [ ] y and [ ] x are 4 1 × column matrices, [ ] M is 4 4 ...
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Towards Provable and Scalable Machine Learning
... learning models by investigating the specific structure of data ...explicitly models the interaction between the row and column side features to approximate the matrix ...
133
Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling
... of generalized maximum entropy problems, including all discussed in the paper, and prove its ...species distribution modeling, an important problem in conservation biology and ...
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BAYESIAN CLASSIFICATION USING GAUSSIAN MIXTURE MODEL AND EM ESTIMATION: IMPLEMENTATIONS AND COMPARISONS
... the Gaussian distribution lies an assumption that the class model is truly a model of one basic ...probability density function, is multimodal, it ...single Gaussian approximation would ...
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