Browsing by FAS Department "Statistics"
Now showing items 21-40 of 241
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Bayesian Learning of Relationships
(2017-07-12)Statistics is the art of communicating with the silent truth-teller: data. More legitimate, accurate and powerful inference from data is the endless pursuit of all statisticians. This dissertation presents our efforts in ... -
Bayesian meta-analysis for identifying periodically expressed genes in fission yeast cell cycle
(Institute of Mathematical Statistics, 2010)The effort to identify genes with periodic expression during the cell cycle from genome-wide microarray time series data has been ongoing for a decade. However, the lack of rigorous modeling of periodic expression as well ... -
Bayesian Models for Detecting Epistatic Interactions from Genetic Data
(Wiley-Blackwell, 2010)Current disease association studies are routinely conducted on a genome-wide scale, testing hundreds of thousands or millions of genetic markers. Besides detecting marginal associations of individual markers with the ... -
Bayesian Models for Pooling Microarray Studies with Multiple Sources of Replications
(BioMed Central, 2006)Background: Biologists often conduct multiple but different cDNA microarray studies that all target the same biological system or pathway. Within each study, replicate slides within repeated identical experiments are often ... -
Bayesian Nonparametric Weighted Sampling Inference
(Institute of Mathematical Statistics, 2015-09)It has historically been a challenge to perform Bayesian inference in a design-based survey context. The present paper develops a Bayesian model for sampling inference in the presence of inverse-probability weights. We use ... -
A Bayesian Partition Method for Detecting Pleiotropic and Epistatic eQTL Modules
(Public Library of Science, 2010)Studies of the relationship between DNA variation and gene expression variation, often referred to as “expression quantitative trait loci (eQTL) mapping”, have been conducted in many species and resulted in many significant ... -
Bayesian Partition Models for Identifying Expression Quantitative Trait Loci
(Informa UK Limited, 2015)Expression quantitative trait loci (eQTLs) are genomic locations associated with changes of expression levels of certain genes. By assaying gene expressions and genetic variations simultaneously on a genome-wide scale, ... -
A Bayesian Perspective on Factorial Experiments Using Potential Outcomes
(2014-02-25)Factorial designs have been widely used in many scientific and industrial settings, where it is important to distinguish "active'' or real factorial effects from "inactive" or noise factorial effects used to estimate ... -
Behavioral Economics and Public Policy: A Pragmatic Perspective
(American Economic Association, 2015)The debate about behavioral economics – the incorporation of insights from psychology into economics – is often framed as a question about the foundational assumptions of economic models. This paper presents a more pragmatic ... -
Bias–Variance and Breadth–Depth Tradeoffs in Respondent-Driven Sampling
(Informa UK Limited, 2013)Respondent-driven sampling (RDS) is a link-tracing network sampling strategy for collecting data from hard-to-reach populations, such as injection drug users or individuals at high risk of being infected with HIV. The ... -
Binomial-Beta Hierarchical Models for Ecological Inference
(SAGE Publications, 1999)he authors develop binomial-beta hierarchical models for ecological inference using insights from the literature on hierarchical models based on Markov chain Monte Carlo algorithms and King’s ecological inference model. ... -
Biopolymer Structure Simulation and Optimization via Fragment Regrowth Monte Carlo
(American Institute of Physics, 2007)An efficient exploration of the configuration space of a biopolymer is essential for its structure modeling and prediction. In this study, the authors propose a new Monte Carlo method, fragment regrowth via energy-guided ... -
Block-based Bayesian epistasis association mapping with application to WTCCC type 1 diabetes data
(Institute of Mathematical Statistics, 2011)Interactions among multiple genes across the genome may contribute to the risks of many complex human diseases. Whole-genome single nucleotide polymorphisms (SNPs) data collected for many thousands of SNP markers from ... -
Body Fatness During Childhood and Adolescence and Incidence of Breast Cancer in Premenopausal Women: A Prospective Cohort Study
(BioMed Central, 2005)Introduction: Body mass index (BMI) during adulthood is inversely related to the incidence of premenopausal breast cancer, but the role of body fatness earlier in life is less clear. We examined prospectively the relation ... -
Broadly heterogeneous activation of the master regulator for sporulation in Bacillus subtilis
(Proceedings of the National Academy of Sciences, 2010)A model system for investigating how developmental regulatory networks determine cell fate is spore formation in Bacillus subtilis. The master regulator for sporulation is Spo0A, which is activated by phosphorylation via ... -
Building Interpretable Models: From Bayesian Networks to Neural Networks
(2016-09-13)This dissertation explores the design of interpretable models based on Bayesian networks, sum-product networks and neural networks. As briefly discussed in Chapter 1, it is becoming increasingly important for machine ... -
Camera: a competitive gene set test accounting for inter-gene correlation
(Oxford University Press, 2012)Competitive gene set tests are commonly used in molecular pathway analysis to test for enrichment of a particular gene annotation category amongst the differential expression results from a microarray experiment. Existing ... -
Causal Inference Under Network Interference: A Framework for Experiments on Social Networks
(2017-01-26)No man is an island, as individuals interact and influence one another daily in our society. When social influence takes place in experiments on a population of interconnected individuals, the treatment on a unit may affect ... -
The Central Role of the Propensity Score in Observational Studies for Causal Effects
(Oxford University Press, 1983)The propensity score is the conditional probability of assignment to a particular treatment given a vector of observed covariates. Both large and small sample theory show that adjustment for the scalar propensity score is ... -
Clustering Analysis of SAGE Data using a Poisson Approach
(BioMed Central, 2004)Serial analysis of gene expression (SAGE) data have been poorly exploited by clustering analysis owing to the lack of appropriate statistical methods that consider their specific properties. We modeled SAGE data by Poisson ...