Browsing Statistics Publications by Title
Now showing items 79-98 of 100
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Simulation of Leveraged ETF Volatility Using Nonparametric Density Estimation
(2015)Leveraged Exchange Traded Funds (LETFs) are constructed to provide the indicated leverage multiple of the daily total return on an underlying index. LETFs may perform as expected on a daily basis; however, fund issuers ... -
Simulation-based estimation: a case study in oncology (SIMEST) and a case study in portfolio selection (SIMUGRAM)
(2014)Since the time of Poisson, stochastic processes have been axiomatized in the temporally forward direction. Yet for nearly a century, estimation of parameters and even forecasts have been based on likelihood approaches that ... -
Small median tumor diameter at cure threshold (<20 mm) among aggressive non-small cell lung cancers in male smokers predicts both chest X-ray and CT screening outcomes in a novel simulation framework
(2013)The effectiveness of population-wide lung cancer screening strategies depends on the underlying natural course of lung cancer. We evaluate the expected stage distribution in the Mayo CT screening study under an existing ... -
Smoothing and Mean–Covariance Estimation of Functional Data with a Bayesian Hierarchical Model
(2016)Functional data, with basic observational units being functions (e.g., curves, surfaces) varying over a continuum, are frequently encountered in various applications. While many statistical tools have been developed for ... -
Spatial mapping of translational diffusion coefficients using diffusion tensor imaging: A mathematical description
(2014)In this article, we discuss the theoretical background for diffusion weighted imaging and diffusion tensor imaging. Molecular diffusion is a random process involving thermal Brownian motion. In biological tissues, the ... -
A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses
(2014)In this paper we present a novel wavelet-based Bayesian nonparametric regression model for the analysis of functional magnetic resonance imaging (fMRI) data. Our goal is to provide a joint analytical framework that allows ... -
A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data
(2016)In this paper we propose a unified, probabilistically coherent framework for the analysis of task-related brain activity in multi-subject fMRI experiments. This is distinct from two-stage “group analysis” approaches ... -
Stability of bacterial toggle switches is enhanced by cell-cycle lengthening by several orders of magnitude
(2014)Bistable regulatory elements are important for nongenetic inheritance, increase of cell-to-cell heterogeneity allowing adaptation, and robust responses at the population level. Here, we study computationally the bistable ... -
Standardization of multivariate Gaussian mixture models and background adjustment of PET images in brain oncology
(2018)In brain oncology, it is routine to evaluate the progress or remission of the disease based on the differences between a pre-treatment and a post-treatment Positron Emission Tomography (PET) scan. Background adjustment is ... -
A statistical model for removing inter-device differences in spectroscopy
(2014)We are investigating spectroscopic devices designed to make in vivo cervical tissue measurements to detect pre-cancerous and cancerous lesions. All devices have the same design and ideally should record identical measurements. ... -
Stochastic hypothesis of transition from inborn neutropenia to AML: interactions of cell population dynamics and population genetics
(2013)We present a stochastic model of driver mutations in the transition from severe congenital neutropenia to myelodysplastic syndrome to acute myeloid leukemia (AML). The model has the form of a multitype branching process.We ... -
Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity
(2018)Estimation of functional connectivity (FC) has become an increasingly powerful tool for investigating healthy and abnormal brain function. Static connectivity, in particular, has played a large part in guiding conclusions ... -
The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: from big data to big analytical tools
(2017-10-03)Abstract The 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) was held on December 8–10, 2016 in Houston, Texas, USA. ICIBM included eight scientific sessions, four tutorials, ... -
The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: summary and innovation in genomics
(2017-10-03)Abstract In this editorial, we first summarize the 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) that was held on December 8–10, 2016 in Houston, Texas, USA, and then briefly ... -
The role of interventions in the cancer evolution–an evolutionary games approach
(2019)We propose to endow evolutionary game models with changes of the phenotypes adjustment during the transient generations performed by the parameters in the payo matrix which determine the fitness resulting from di erent ... -
The value of foresight
(2017)Suppose you have one unit of stock, currently worth 1, which you must sell before time . The Optional Sampling Theorem tells us that whatever stopping time we choose to sell, the expected discounted value we get when we ... -
Time-dependence of graph theory metrics in functional connectivity analysis
(2016)Brain graphs provide a useful way to computationally model the network structure of the connectome, and this has led to increasing interest in the use ofﾠgraph theoryﾠto quantitate and investigate the topological characteristics ... -
Using community level strategies to reduce asthma attacks triggered by outdoor air pollution: a case crossover analysis
(2014)Evidence indicates that asthma attacks can be triggered by exposure to ambient air pollutants, however, detailed pollution information is missing from asthma action plans. Asthma is commonly associated with four criteria ... -
Variant interpretation through Bayesian fusion of frequency and genomic knowledge
(2015)Variant interpretation is a central challenge in genomic medicine. A recent study demonstrates the power of Bayesian statistical approaches to improve interpretation of variants in the context of specific genes and syndromes. ... -
A visual and curatorial approach to clinical variant prioritization and disease gene discovery in genome-wide diagnostics
(2016)Background: Genome-wide data are increasingly important in the clinical evaluation of human disease. However, the large number of variants observed in individual patients challenges the efficiency and accuracy of diagnostic ...
