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CSDA
2010
208views more  CSDA 2010»
13 years 5 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...
ISIPTA
2003
IEEE
104views Mathematics» more  ISIPTA 2003»
13 years 11 months ago
Nonparametric Predictive Comparison of Two Groups of Lifetime Data
We present the application of a recently introduced nonparametric predictive inferential method to compare two groups of data, consisting of observed event times and right-censori...
Frank P. A. Coolen, Ke-Jian Yan
BMCBI
2010
103views more  BMCBI 2010»
13 years 5 months ago
Nonparametric methods for the analysis of single-color pathogen microarrays
Background: The analysis of oligonucleotide microarray data in pathogen surveillance and discovery is a challenging task. Target template concentration, nucleic acid integrity, an...
Omar J. Jabado, Sean Conlan, P. Lan Quan, Jeffrey ...
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
13 years 10 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
MICCAI
2006
Springer
14 years 6 months ago
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Hal S. Stern, Padhraic Smyth, Seyoung Kim