BOPA: A Bayesian hierarchical model for outlier expression detection
نویسندگان
چکیده
منابع مشابه
BOPA: A Bayesian hierarchical model for outlier expression detection
DNA microarray technologies have the capability of simultaneously measuring the abundance of thousands of gene expressions in cells. A common task with microarrays is to determine which genes are differentially expressed under two different biological conditions of interest (e.g. cancerous against non-cancerous cells). It is often the case that there are thousands of genes for a single individu...
متن کاملA Generalizable Hierarchical Bayesian Model for Persistent SAR Change Detection
This paper proposes a hierarchical Bayesian model for multiple-pass, multiple antenna synthetic aperture radar (SAR) systems with the goal of adaptive change detection. We model the SAR phenomenology directly, including antenna and spatial dependencies, speckle and specular noise, and stationary clutter. We extend previous work by estimating the antenna covariance matrix directly, leading to im...
متن کاملBayesian outlier detection in Capital Asset Pricing Model
We propose a novel Bayesian optimisation procedure for outlier detection in the Capital Asset Pricing Model. We use a parametric product partition model to robustly estimate the systematic risk of an asset. We assume that the returns follow independent normal distributions and we impose a partition structure on the parameters of interest. The partition structure imposed on the parameters induce...
متن کاملOn Bayesian Network and Outlier Detection
Existing studies on data mining has largely focused on the design of measures and algorithms to identify outliers in large and high dimensional categorical and numeric databases. However, not much stress has been given on the interestingness of the reported outlier. One way to ascertain interestingness and usefulness of the reported outlier is by making use of a domain knowledge. In this paper,...
متن کاملRetrospective Bayesian outlier detection in INGARCH series
INGARCH models for time series of counts arising, e.g., in epidemiology or finance assume the observations to be Poisson distributed conditionally on the past, with the conditional mean being an affine-linear function of the previous observations and the previous conditional means. We model outliers within such processes, assuming that we observe a contaminated process with additive Poisson dis...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2012
ISSN: 0167-9473
DOI: 10.1016/j.csda.2012.05.003