generalized Gaussian distribution models
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 ...
11
Extreme Risk In Resource Indices And The Generalized Logistic Distribution
... risk models may differ between data from a developed market or an emerging ...EVT models is observed for ES backtesting, for all three ...EVT models over the classical Gaussian ...
14
Promotion time cure model with generalized Poisson-Inverse Gaussian Distribution
... binomial distribution is the most common alternative, and in cure models its priority over Poisson models is proved by Cancho et ...Poisson distribution, it was higher than that in both ...
8
Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling
... In this study we extended the well-known EP algorithm (Minka, 2001) to approximate GP likelihood. Another potential approach is MCMC sampling coupled with an integra- tion scheme such as thermodynamic integration (Kuss ...
30
No-reference color image quality assessment: from entropy to perceptual quality
... typical models are the generalized Gaussian distribution (GGD) model [33], the asymmetric GGD (AGGD) model [34], the Weibull distri- bution (WD) model [35], ...mapping models from ...
14
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 ...
36
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 ...
23
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 ...
11
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
A new generalization of generalized half-normal distribution: properties and regression models
... The generalized half-normal (GHN) distribution has been widely modified and stud- ied in recent years and various authors developed new generalizations of ...(BGHN) distribution with applications to ...
16
Advances in Moment-Based Distributional Methodologies
... cumulative distribution functions of Y, we can resort to histograms of simulated quadratic forms (n = 10,000) and the associated empirical cumulative distributions for assessing the accuracy of the ...cumulative ...
158
Learning Latent Tree Graphical Models
... and Gaussian random variables and our learned models are such that all the observed and latent variables have the same domain (state ...graphical models such as hidden Markov models and star ...
42
Analytical properties of generalized Gaussian distributions
... of distribution, especially in eco- nomics, is the Generalized Error ...GG distribution allows for tails that are either heavier than Gaussian (p < 2) or lighter than Gaussian (p ...
40
A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings
... LCTM models each topic as a distribution over the latent con- cepts, where each latent concept is a local- ized Gaussian distribution over the word embedding ...
7
Generalized Topp-Leone family of distributions
... these models was more appropriate to fit data the maximum likelihood estimation (MLE) of parameters, Akaike Information criterion (AIC) value, Bayesian Information Criterion (BIC) value, Kolmogorov- Smirnov (K-S) ...
11
Parameter Estimations for Generalized RayleighDistribution under Progressively Type I IntervalCensored Data
... the generalized Rayleigh distribution are investigated for progressively type-I interval censored ...of distribution parameters via maximum like- lihood, moment method and probability plot are ...
12
Gaussian and non Gaussian models for financial bubbles via econophysics
... As an empirical application we look at daily prices of the FTSE 100 from March 2nd 2009 to October 29th 2010 to try and determine whether or not the Bank of England’s policy of quantitative easing has coincided with, and ...
18
Gaussian and non-Gaussian models for financial bubbles via econophysics
... This paper builds on the now well-established analogy between financial crashes and phase transitions in critical phenomena. In a stochastic version of the original model of Johansen et al. (2000) crashes are seen to ...
18
Generating more realistic images using gated MRF s
... existing models can generate good samples, especially for high-resolution images (see for instance ...best models of high- resolution images reported in the literature so ...these models are more ...
9
Gaussian Process Dynamical Models
... Figure 2: Models learned from a walking sequence of 2.5 gait cycles. The latent positions learned with a GPLVM (a) and a GPDM (b) are shown in blue. Vectors depict the temporal sequence. (c) - log variance for ...
8