We extend the results presented by Antos et al. [1] for nonparametric estimation methods using complete datasets to nonparametric regression estimators that use right censored …
Non-allelic homologous recombination (NAHR) plays a major role in genome rearrangement and is implicated in numerous genetic disorders. But detection of NAHR poses a serious …
In many real-world applications, e.g., brain imaging and or weather patterns, data are captured over particular periods or intervals, which we call time series. Time …
Background: Randomized clinical trials (RCTs) are considered the gold standard approach for assessing the comparative effectiveness of medical interventions. Given the importance of RCTs for …
Dark matter is an essential ingredient in our modern understanding of the Universe. However, its fundamental role in cosmology is matched only by its conspicuous …
Statistical and computational methods for detecting evolutionary processes in human genomic data have been going through rapid advances across multiple fields of study and timescales. …
This dissertation tackles econometric problems in finance in the age of Big Data. The three chapters propose various techniques to overcome some issues caused by …
Identifying the effects of a set of interventions on an outcome is a primary goal in public health, medicine, and the social sciences. While randomized …
Computational Modeling is a significant part of cognitive neuroscience. It allows arbitration between suggested models by virtue of quantitative fits to behavioral, brain and other …
Many nonparametric Bayesian models can be viewed as an infinite-dimensional limit of a family of finite-dimensional models. However, another way to construct a flexible Bayesian …
T cells recognize antigens via T cell receptors (TCR), initiating an intracellular signal transduction cascade. Tyrosine is one of the main amino acids that is …
T cells recognize antigens via T cell receptors (TCR), initiating an intracellular signal transduction cascade. Tyrosine is one of the main amino acids that is …
Probabilistic record linkage is a process to identify records in two separate datasets that represent the same entity in the absence of unique identifiers. Bayesian …
Using over one million tweets from Spanish speaking Twitter users in South America I aim to analyze in depth the linguistic differences in the region. …
