X-linked repeat polymorphisms and disease risk: statistical power and study designs 

Learning contour statistics from natural images 

Enhancing model performance of regularization methods by incorporating prior information 

Use of digital models to assess orthodontic treatment progress and identify deficiencies 

Ordered Probit Models For Transaction Stock Prices 

Emerging Jordan forms, with applications to critical statistical models and conformal field theory 

Structural equation modeling in educational psychology 

The use of alignment-free statistics for the evolutionary study of study of 5' cis-regulatory sequences 

Modeling burn probability: a Maxent approach to estimating California's wildfire potential 

Bayesian vector autoregression, a time series model 

Theoretical and computational foundations for cyber‐physical systems design 

Theoretical models of voltage controlled oscillators and the effects of non-linearity 

Inverse modeling and uncertainty quantification of nonlinear flow in porous media models 

Outlier-robustness in adaptations to the lasso 

Approximating stationary long memory processes by an AR model with application to foreign exchange rate 

Distributed parameter model based system identification and filtering in the estimation of blood alcohol concentration from transdermal alcohol biosensor data 

Efficient estimation and discriminative training for the Total Variability Model 

Graph-based models and transforms for signal/data processing with applications to video coding 

Three essays on the statistical inference of dynamic panel models 

Using multi-level Bayesian hierarchical model to detect related multiple SNPs within multiple genes to disease risk 

Nonlinear modeling and machine learning methods for environmental epidemiology 

Syntactic alignment models for large-scale statistical machine translation 

On optimal signal representation for statistical learning and pattern recognition 

Machine learning and statistical approaches to the quality classification of tandem mass spectrometry 

Predicting post-wildfire regreen rates: an application of multi-factor regression modeling