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A robust sequential Bayesian method for identification of differentially expressed genes

by Faming Liang, Chuanhai Liu, Naisyin Wang - Statistica Sinica , 2007
"... Abstract: A DNA microarray experiment simultaneously measures the expression levels of thousands of genes. An important question is to identify genes that express differentially between two types of tissues or at different experimental conditions. Since large numbers of genes are compared simultaneo ..."
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simultaneously, simple use of significance tests can easily lead to false positive findings. We propose a sequential procedure for estimating the empirical null distribution of multiple hypothesis testing and apply the procedure to identify differentially expressed genes in microarray experiments. Our procedure

Probability Hypothesis Density filter versus Multiple Hypothesis Tracking

by Kusha Panta A, Ba-ngu Vo A, Sumeetpal Singh A, Arnaud Doucet B
"... The probability hypothesis density (PHD) filter is a practical alternative to the optimal Bayesian multi-target filter based on finite set statistics. It propagates only the first order moment instead of the full multi-target posterior. Recently, a sequential Monte Carlo (SMC) implementation of PHD ..."
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The probability hypothesis density (PHD) filter is a practical alternative to the optimal Bayesian multi-target filter based on finite set statistics. It propagates only the first order moment instead of the full multi-target posterior. Recently, a sequential Monte Carlo (SMC) implementation of PHD

doi:10.1155/2010/947564 Research Article A Hypothesis Test for Equality of Bayesian Network Models

by Anthony Almudevar , 2010
"... License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Bayesian network models are commonly used to model gene expression data. Some applications require a comparison of the network structure of a set of genes between vary ..."
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License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Bayesian network models are commonly used to model gene expression data. Some applications require a comparison of the network structure of a set of genes between

Mosaicism, Modules, and the Evolution of Birds: Results from a Bayesian Approach to the Study of Morphological Evolution Using Discrete Character Data

by Julia A. Clarke, Kevin, M. Middleton
"... Abstract.—The study of morphological evolution after the inferred origin of active flight homologous with that in Aves has historically been characterized by an emphasis on anatomically disjunct, mosaic patterns of change. Relatively few prior studies have used discrete morphological character data ..."
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-tuning” of pectoral and then pelvic locomotor systems after the origin of flight (“pectoral early–pelvic late ” hypothesis). We use one of the most inclusive phylogenetic data sets of basal birds to investigate properties of this method and to consider the application of a Bayesian phylogenetic approach. Bayes factor

Hierarchical Bayesian Methods in Ecology Devin Goodsman (University of Alberta),

by Christian P. Robert (université Paris-dauphine , 2010
"... 1 Workshop Context Ecosystems are dynamic in both space and time, hence involve multiple spatial and temporal scales, and are often heterogeneous in both of those dimensions, leading to spatial and temporal clustering. Accommodating this complexity in the context of scientific (statistical) hypothes ..."
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1 Workshop Context Ecosystems are dynamic in both space and time, hence involve multiple spatial and temporal scales, and are often heterogeneous in both of those dimensions, leading to spatial and temporal clustering. Accommodating this complexity in the context of scientific (statistical

Performing high-powered studies efficiently with sequential analyses. European Journal of Social Psychology. Advance online publication. http://dx.doi.org/10.1002/ejsp.2023

by Daniël Lakens , Daniël Lakens - Journal of Applied Psychology , 2014
"... Abstract Running studies with high statistical power, while effect size estimates in psychology are often inaccurate, leads to a practical challenge when designing an experiment. This challenge can be addressed by performing sequential analyses while the data collection is still in progress. At an ..."
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for pre-registration, ways to prevent experimenter bias, and a comparison between Bayesian approaches and null-hypothesis significance testing (NHST) are discussed. Sequential analyses, which are widely used in large-scale medical trials, provide an efficient way to perform high-powered informative

Image-Based Multi-Sensor Data Representation and Fusion Via 2D Non-Linear Convolution

by Aaron R. Rababaah, Aaron R. Rababaah
"... Sensor data fusion is the process of combining data collected from multi sensors of homogeneous or heterogeneous modalities to perform inferences that may not be possible using a single sensor. This process encompasses several stages to arrive at a sound reliable decision making end result. These st ..."
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-based, classical hypothesis-based, Bayesian inference, fuzzy inference, neural networks, etc. in this work, we introduce a new data fusion model that contributes to the area of multi-senor/source data fusion. The new fusion model relies on image processing theory to map stimuli from sensors onto an energy map

Microsoft Word - SPWLA-D-12-00123-Final.doc

by Chicheng
"... ABSTRACT Rock typing is critical in deepwater reservoir characterization to construct stratigraphic models populated with static and dynamic petrophysical properties. However, rock typing based on multiple well logs is challenging because different logging-tool physics exhibit different volumes of ..."
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method of iterative hypothesis testing to perform rock typing by simultaneously honoring different logging-tool physics in a multi-layered earth model. In addition to estimating the vertical distribution of rock types with maximum likelihood, the Bayesian method quantifies the uncertainty of rock types

unknown title

by Ph.D Emine Ozgur Bayman , M.D Franklin Dexter , Ph.D Michael M Todd , 2015
"... ABSTRACT Background: Periodic assessment of performance by anesthesiologists is required by The Joint Commission Ongoing Professional Performance Evaluation program. Methods: The metrics used in this study were the (1) measurement of blood pressure and (2) oxygen saturation (SpO 2 ) either before o ..."
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with no covariate adjustment and no multiple comparisons adjustment) to a Bayesian logistic regression model (with adjusted covariates chosen using data mining). However, there are no methods that mathematically are "in between," and what methods are available are not simpler to perform. In sequence

1Compressive Link Acquisition in Multiuser Communications

by Xiao Li, Andrea Rueetschi, Anna Scaglione, Yonina C. Eldar
"... Abstract—An important receiver operation is to detect the presence specific preamble signals with unknown delays in the presence of scattering, Doppler effects and carrier offsets. This task, referred to as “link acquisition”, is typically a sequential search over the transmitted signal space. Recen ..."
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Abstract—An important receiver operation is to detect the presence specific preamble signals with unknown delays in the presence of scattering, Doppler effects and carrier offsets. This task, referred to as “link acquisition”, is typically a sequential search over the transmitted signal space
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