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You are viewing titles for COLUMBIA UNIVERSITY in the Statistics available through the UMI Dissertations & Thesis Gradwoorks site
 
Contributions to the statistical analysis of item response time in educational testing
 Diagnostics for multivariate imputation, copula based Independent Component Analysis and a motivating example
 
Statistical analysis for neuroimaging data
 Existing approaches and a new weighted method for Cox regression in the presence of missing covariates
 
On feature selection and classification in high dimensions
 Statistical inference for biophysical image and network data
 
Variable selection in canonical discriminant analysis
 Risk measures and maximum drawdown
 
Contributions to the analysis of survival data subject to nonstandard sampling schemes
 Regularized estimation of covariance matrices for longitudinal data through smoothing and shrinkage
 
Combining constructed response items and multiple choice items using a hierarchical rater model
 Model selection based on quadratic distances - An alternative to AIC
 
Topics in model-based population inference
 Change-point distribution estimation in animal learning experiments
 
Change point estimation and functional clustering in multi-subject FMRI studies
 Optimal portfolio execution and high frequency financial data
 
Inference for nonstandard MA and noncausal VAR models
 A Change-Point Problem and Composite Likelihood Inference in Time Series Models
 
Decentralized sequential decision making with asynchronous communication
 Large Relative Margin and Applications
 
Conformational Changes in Proteins upon Adsorption to Surfaces
 Power under Local Alternatives for Generalized Estimating Equations with Applications to Sibling Studies
 
Statistical methods for indirectly observed network data
 Contagion and Systemic Risk in Financial Networks
 
Semiparametric stochastic modeling for epidemic data
 Rapid Learning with Stochastic Focus of Attention
 
Self-controlled methods for postmarketing drug safety surveillance in large-scale longitudinal data
 State-Space Models and Latent Processes in the Statistical Analysis of Neural Data
 
Statistics for Learning Genetics
 The Relation between Uncertainty in Latent Class Membership and Outcomes in a Latent Class Signal Detection Model
 
Sparse Selection in Cox Models with Functional Predictors
 Statistical inference in two non-standard regression problems
 
Some Models for Time Series of Counts
 Modeling Strategies for Large Dimensional Vector Autoregressions
 
Use of External Representations in Reasoning about Causality
 Optimization Algorithms for Structured Machine Learning and Image Processing Problems
 
Statistical Inference for Diagnostic Classification Models
 Nonlinear Penalized Estimation of True Q-Matrix in Cognitive Diagnostic Models
 
Bayesian Multidimensional Scaling Model for Ordinal Preference Data