ProQuest Subject Index - Statistics at UNIVERSITY OF CALIFORNIA BERKELEY

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

Markov models on trees: Reconstruction and applications	Coagulation-fragmentation duality for Poisson-Dirichlet distributions, and exchangeable partitions derived from Markovian coalescents

D-Trigger: A general framework for efficient online detection	Spatial analysis of pediatric asthma in an urban community

Learning in decentralized systems: A nonparametric approach	On the consistency of ensemble classification algorithms

Statistical methods for complicated current status and high-dimensional data structures with applications in environmental epidemiology	A class of spatial models with applications to abundance prediction

Efficient conditional path sampling of stochastic differential equations	The foundations of conditional probability

Distance methods for phylogeny reconstruction	Global irregularities for Poisson processes - Gravitational allocation and rough isometries

Sparsity and model selection through convex penalties: Structured selection, covariance selection and some theory	Semi-supervised learning with multiple views

Optimization studies with multiple testing, loss-based estimation, and confidence intervals for negative binomials of high dispersion	Nonparametric Bayesian models for machine learning

Statistical analysis of DNA sequence motifs and microarray data	Empirical forest growth model evaluations and development of climate-sensitive hybrid models

Statistical topics in gene regulation	Two continuum-sites stepping stone models in population genetics with delayed coalescence

Simultaneous variable selection and simultaneous subspace selection for multitask learning	Applications of double robustness

Spatial and temporal mixing of Gibbs measures	High dimensional estimation and data analysis: Entropy and regularized regression

Analyzing random forests	Methods to study intervention sustainability using pre-existing, community interventions: Examples from the water, sanitation and hygiene sector

Hierarchical Bayesian inference in the brain: Psychological models and neural implementation	Statistical problems in DNA microarray data analysis

Sparse signal recovery using sparse random projections	Analysis of high-throughput biological data: Some statistical problems in RNA-seq and mouse genotyping

Discriminative machine learning with structure	Systems theory for pharmaceutical drug discovery

Essays on a discontinuity test of endogeneity	Detection methods for astronomical time series

Contributions to Stein's method and some limit theorems in probability	Spectra of random trees, coalescing non-Brownian particles and geometric influences of Boolean functions

Statistical models for analyzing human genetic variation	Structured Approaches to Data Selection for Speaker Recognition

Robust Semiparametric Regression Estimation Using Targeted Maximum Likelihood with Application to Biomarker Discovery and Epidemiology	Earthquake prediction: Simple methods for complex phenomena

Analysis of sequential stopping rules for simulation experiments	Targeted maximum likelihood estimation techniques for time to event data and the implications of coarsening an explanatory variable of interest via dichotomization in the context of causal inference in semi-parametric models

An Analysis of the Distribution of Genotypes for a Recent Model in Population Genetics	Essays in Microeconometrics

Spatio-temporal point process models for the spread of avian influenza virus (H5N1)	Algebraic Methods for Evaluating Integrals in Bayesian Statistics

Two Statistical Methods for Clustering Medicare Claims into Episodes of Care	High-dimensional Principal Component Analysis

Nonparametric Hierarchical Bayesian Models of Categorization	Some Issues Related to the Use of Randomized Trials in the Field of Program Evaluation

Applications of Semi-parametric Estimation Methods in Causal Inference and Prediction	Learning Dependency-Based Compositional Semantics

Acuity, Crowding, Feature Detection, and Fixation in Normal and Amblyopic Vision	Automatic Design of Prosodic Features for Sentence Segmentation

Modeling High Dimensional Data: Prediction, Sparsity, and Robustness	Bayesian Nonparametric Latent Feature Models

Geometry of maximum likelihood estimation in Gaussian graphical models	Collaborative Targeted Maximum Likelihood Estimation

Computational Trade-offs in Statistical Learning	New approaches to robustness and learning in data-driven portfolio optimization

The Impact of the HIV/AIDS Epidemic on Orphanhood Probabilities and Kinship Structure in Zimbabwe	Issues in Online Advertising Markets and Applied Econometrics

Efficient Methods for Unsupervised Learning of Probabilistic Models	Some Minorants and Majorants of Random Walks and Levy Processes

Convex Approaches to Text Summarization	Sparse Models for Sparse Data: Methods, Limitations, Visualizations and Ensembles

Data Assimilation in Large-scale Networks of Open Channels	Large-scale sparse regression models under weak assumptions

Individual heterogeneity in life history processes: Estimation and applications of demographic models to stage-structured arthropod populations	Graphs and Combinatorial Representations of Stochastic Processes

Algorithmic Approaches to Statistical Questions	Aerosol Retrieval Using Remote-sensed Observations