ProQuest Subject Index - Statistics at HARVARD UNIVERSITY

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You are viewing titles for HARVARD UNIVERSITY in the Statistics available through the UMI Dissertations & Thesis Gradwoorks site

Contributions to law and empirical methods	Decoding mammalian gene regulatory programs through efficient microarray, ChIP-chip and sequence analysis

Essays in applied microeconomics and applied econometrics	Bayesian two-way clustering

Effective modeling and scientific computation with applications to health study, astronomy, and queueing network	Assessing thought disordered behavior using finite mixture models and comparing approximations for logistic regression

Methods of approximate inference: Applications to stochastic differential equations, video microscopy, and network data	Novel methodologies for the analysis of complex failure time data and alternative progression-free survival estimators

Nonparametric studies of doubly stochastic Poisson processes, binomial data, and high dimension, low sample size data	Two-Lasso Bayesian adaptation to study financial contagion

Distance based methods for space time modelling of the health of populations	A Bayesian approach to reconstructing space-time climate fields from proxy and instrumental time series, applied to 600 years of northern hemisphere surface temperature data

Decoding gene expression regulation through motif discovery and classification	Hierarchical models for relational data

Estimation of overflow probabilities for models with heavy tails and complex dependencies	Essays in labor and development econometrics

Statistics, science and statistical science: Modeling, inference and computation with applications to the physical sciences	Robust methodology for predicting and evaluating prognosis in right censored time to event data

Three applications of statistics to medical research	Disease mapping and statistical issues in public health surveillance

Improving LQAS for monitoring and evaluation of health programs in resource-poor settings	Accounting for uncertainty in environmental health risk assessment

Nonstationary time series modeling with applications to speech signal processing	On Learning in Problems with Geometric Constraints

Spatial and Temporal Regulation of Vascular Network Formation	Two Tales of Frequentist Properties of Bayesianly Motivated Methods: Multiple Imputation and Shrinkage Estimation

Efficient Monte Carlo Methods for Sampling and Inference: Networks, Brains, Proteins	Bayesian Methods for Global Health Monitoring

Topics and Applications in Missing Data and Causality	Efficient Monte-Carlo Methods and Asymptotic Analysis for Stochastic Systems

Rerandomization to Improve Covariate Balance in Randomized Experiments	Type Ia Supernove Inference: Hierarchical Bayesian Models in the Optical and Near Infrared

Statistical Issues in Large-Scale Community-Based Studies	The Method of Batch Inference for Multivariate Diffusions

Statistical methods for clinical trials with multiple outcomes, HIV surveillance, and nonparametric meta-analysis	Three Essays on Credit Risk Models and Their Bayesian Estimation

Topics and Applications in Synthetic Data	With or Without: Empirical Analyses of Disparities in Health Care Access and Quality