Browsing FAS Scholarly Articles by FAS Department "Statistics"
Now showing items 1-20 of 187
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Active vs. Passive Decisions and Crowd-Out in Retirement Savings Accounts: Evidence from Denmark
(Oxford University Press (OUP), 2014)Using 41 million observations on savings for the population of Denmark, we show that the effects of retirement savings policies on wealth accumulation depend on whether they change savings rates by active or passive choice. ... -
An Adaptive Exchange Algorithm for Sampling From Distributions With Intractable Normalizing Constants
(Informa UK Limited, 2016)Sampling from the posterior distribution for a model whose normalizing constant is intractable is a long-standing problem in statistical research. We propose a new algorithm, adaptive auxiliary variable exchange algorithm, ... -
Aggregation Among Binary, Count, and Duration Models: Estimating the Same Quantities from Different Levels of Data
(Oxford University Press, 2001)Binary, count, and duration data all code discrete events occurring at points in time. Although a single data generation process can produce all of these three data types, the statistical literature is not very helpful in ... -
Analyzing Second Stage Ecological Regressions: Comment on Herron and Shotts
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Aneuploidy Prediction and Tumor Classification with Heterogeneous Hidden Conditional Random Fields
(Oxford University Press, 2008)Motivation: The heterogeneity of cancer cannot always be recognized by tumor morphology, but may be reflected by the underlying genetic aberrations. Array-CGH methods provide highthroughput data on genetic copy numbers, ... -
AP statistics: Passion, paradox, and pressure (Part II).
(American Statistical Association, 2010) -
Association pattern discovery via theme dictionary models
(Wiley-Blackwell, 2013)Discovering patterns from a set of text or, more generally, categorical data is an important problem in many disciplines such as biomedical research, linguistics, artificial intelligence and sociology. We consider here the ... -
Assumptions behind Intercoder Reliability Indices
(Routledge, 2012)Inter-coder reliability is the most often used quantitative indicator of measurement quality in content studies. Researchers in psychology, sociology, education, medicine, marketing and other disciplines also use reliability ... -
Asymptotic and finite-sample properties of estimators based on stochastic gradients
(Institute of Mathematical Statistics, 2017)Stochastic gradient descent procedures have gained popularity for parameter estimation from large data sets. However, their statis- tical properties are not well understood, in theory. And in practice, avoiding numerical ... -
Asymptotic Theory of Rerandomization in Treatment-Control Experiments
Although complete randomization ensures covariate balance on average, the chance for ob- serving significant differences between treatment and control covariate distributions increases with many covariates. Rerandomization ... -
Bayesian Biclustering of Gene Expression Data
(BioMed Central, 2008)Background: Biclustering of gene expression data searches for local patterns of gene expression. A bicluster (or a two-way cluster) is defined as a set of genes whose expression profiles are mutually similar within a subset ... -
Bayesian Functional Data Clustering for Temporal Microarray Data
(Hindawi Publishing Corporation, 2008)We propose a Bayesian procedure to cluster temporal gene expression microarray profiles, based on a mixed-effect smoothing-spline model, and design a Gibbs sampler to sample from the desired posterior distribution. Our ... -
Bayesian Inference for Assessing Effects of Email Marketing Campaigns
(Informa UK Limited, 2016)Email marketing has been an increasingly important tool for today’s businesses. In this paper, we propose a counting-process-based Bayesian method for quantifying the effectiveness of email marketing campaigns in conjunction ... -
Bayesian Inference of Spatial Organizations of Chromosomes
(Public Library of Science, 2013)Knowledge of spatial chromosomal organizations is critical for the study of transcriptional regulation and other nuclear processes in the cell. Recently, chromosome conformation capture (3C) based technologies, such as ... -
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, ...