A5112216962- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Blind Source Separation Techniques
- Neural Networks and Applications
- Bayesian Methods and Mixture Models
- Statistical Methods and Bayesian Inference
- Spectroscopy and Chemometric Analyses
- Control Systems and Identification
- Neural dynamics and brain function
- Optimal Experimental Design Methods
- Functional Brain Connectivity Studies
- Probabilistic and Robust Engineering Design
- Time Series Analysis and Forecasting
- Advanced Statistical Process Monitoring
- Neuroscience and Neuropharmacology Research
- Advanced MRI Techniques and Applications
- Statistical and numerical algorithms
- Fault Detection and Control Systems
- Advanced Neuroimaging Techniques and Applications
- Systemic Lupus Erythematosus Research
- Axon Guidance and Neuronal Signaling
- Neurogenesis and neuroplasticity mechanisms
- Advanced Numerical Analysis Techniques
- Autism Spectrum Disorder Research
- Gaussian Processes and Bayesian Inference
University of North Carolina at Chapel Hill
2011-2024
University of Hong Kong
2016
Carolina Headache Institute
2010
National University of Singapore
2000-2001
Cancer Research Center
2000
University of California, Berkeley
1997-2000
Fred Hutch Cancer Center
2000
University of Pennsylvania
2000
University of Washington
1995-1997
Australian National University
1995-1996
Analysis of variance type models are considered for a regression function or the logarithm probability function, conditional density hazard spectral function. Polynomial splines used to model main effects, and their tensor products any interaction components that included. In special context survival analysis, baseline is modeled nonproportionality allowed. general, theory involves $L_2$ rate convergence fitted its components. The methodology least squares maximum likelihood estimation,...
The effect of errors in variables nonparametric regression estimation is examined. To account for covariates, deconvolution involved the construction a new class kernel estimators. It shown that optimal local and global rates convergence these estimators can be characterized by tail behavior characteristic function error distribution. In fact, there are two types according to whether ordinary smooth or super smooth. also results hold uniformly over joint distributions response covariate,...
To determine the prevalence of neck pain at time migraine treatment relative to nausea, a defining associated symptom migraine.This is prospective, observational cross-sectional study 113 migraineurs, ranging in attack frequency from episodic chronic migraine. Subjects were examined by headache medicine specialists confirm diagnosis and exclude both cervicogenic fibromyalgia. Details all migraines recorded over course least 1 month until 6 qualifying had been treated. For each attack,...
Abstract Linear splines and their tensor products are used to estimate the conditional log-hazard function based on possibly censored, positive response data one or more covariates. An automatic procedure involving maximum likelihood method, stepwise addition, deletion, Bayes Information Criterion is select final model. The possible models contain proportional hazards as a subclass, which makes it diagnose departures from proportionality. Cubic two additional log terms incorporated into...
Consider a stationary time series $(\mathbf{X}_t, Y_t), t = 0, \pm 1,\ldots,$ with $\mathbf{X}_t$ being $\mathbb{R}^d$-valued and $Y_t$ real-valued. The conditional mean function is given by $\theta(\mathbf{X}_0) E(Y_0\mid\mathbf{X}_0)$. Under appropriate regularity conditions, local average estimator of this based on finite realization $(\mathbf{X}_1, Y_1),\ldots,(\mathbf{X}_n, Y_n)$ can be chosen to achieve the optimal rate convergence $n^{-1/(2 + d)}$ both pointwise in $L_2$ norms...
Abstract Tissue-specific immune responses play an important role in the pathology of autoimmune diseases. In systemic lupus erythematosus, deposits IgG-immune complexes and activation complement kidney have long been thought to promote inflammation nephritis. However, events that localize cells non-lymphoid tertiary organs sustain tissue-specific remain undefined. this manuscript, we show BAFF promotes leading Using inducible model found passive transfer antinucleosome IgG into AID−/−MRL/lpr...
Autism spectrum disorder (ASD) is heritable, and younger siblings of ASD probands are at higher likelihood developing themselves. Prospective MRI studies report that atypical brain development precedes diagnosis, although the link between maturation genetic factors unclear. Given familial recurrence predicted by levels traits in proband, authors investigated associations proband among siblings.
We address the empirical bandwidth choice problem in cases where range of dependence may be virtually arbitrarily long. Assuming that observed data derive from an unknown function a Gaussian process, it is argued that, unlike more traditional contexts statistical inference, density estimation there no clear role for classical distinction between short- and long-range dependence. Indeed, "boundaries" separate different modes behaviour optimal bandwidths mean squared errors are determined by...
Triple negative breast cancer (TNBC) is a heterogeneous disease that has poor prognosis and limited treatment options. Chemokine receptor interactions are important modulators of metastasis; however, it now recognized quantitative surface expression one chemokine receptor, CXCR4, may not directly correlate with metastasis its functional activity in better inform tumor pathogenicity. G protein coupled kinase 3 (GRK3) regulator CXCR4 activity, we show GRK correlates tumorigenicity, molecular...
The desire to make nonparametric regression robust leads the problem of conditional median function estimation. Under appropriate regularity conditions, a sequence local estimators can be chosen achieve optimal rate convergence $n^{-1/(2+d)}$ both pointwise and in $L^q (1 \leq q < \infty)$ norm restricted compact. It also $(n^{-1} \log n)^{1/(2+d)}$ $L^\infty$ These results constitute an answer open question Stone.
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized clinically by motor dysfunction (bradykinesia, rigidity, tremor, and postural instability), pathologically the loss of dopaminergic neurons in substantia nigra basal ganglia. Growing literature supports that cognitive deficits may also be present PD, even non-demented patients. Gray matter (GM) atrophy has been reported PD related to decline. This study investigated cortical thickness subjects elucidated its...
BACKGROUND: Low human papillomavirus (HPV) vaccination coverage is an urgent public health problem requiring action. To identify policy remedies to suboptimal HPV vaccination, we assessed the relationship between states’ school entry requirements and adolescent vaccination. METHODS: We gathered data on for (tetanus, diphtheria, pertussis [Tdap] booster; meningococcal; HPV) from 2007 2012 Immunization Action Coalition. The National Survey–Teen provided medical record–verified 99 921...
Abstract. Cubic splines and indicator functions are used to estimate the spectral density function line spectrum, respectively, for a stationary time series. A fully automatic procedure involving maximum likelihood, stepwise addition deletion of basis functions, Bayes information criterion (BIC) is select final model.
Independent component analysis (ICA) is an effective data-driven method for blind source separation. It has been successfully applied to separate signals of interest from their mixtures. Most existing ICA procedures are carried out by relying solely on the estimation marginal density functions, either parametrically or nonparametrically. In many applications, correlation structures within each also play important role besides distributions. One example functional magnetic resonance imaging...
Dendritic spines in the developing mammalian neocortex are initially overproduced and then eliminated during adolescence to achieve appropriate levels of excitation mature networks. We show here that L1 family cell adhesion molecule Close Homolog (CHL1) secreted repellent ligand Semaphorin 3B (Sema3B) function together induce dendritic spine pruning cortical pyramidal neurons. Loss CHL1 null mutant mice both genders resulted increased density a greater proportion immature on apical dendrites...
Abstract Linear splines and their tensor products are used to estimate the conditional log-hazard function based on possibly censored, positive response data one or more covariates. An automatic procedure involving maximum likelihood method, stepwise addition, deletion, Bayes Information Criterion is select final model. The possible models contain proportional hazards as a subclass, which makes it diagnose departures from proportionality. Cubic two additional log terms incorporated into...
Purpose Substance use behaviors often emerge during adolescence, and adolescents with type 1 diabetes (T1D) may be at risk for engaging in traditional substance (eg, alcohol, tobacco, illicit substances) as well a unique form of use: insulin misuse. The purpose this exploratory study was to examine misuse T1D. Methods Sixty aged 12 20 years T1D (n = 60) completed surveys on use, misuse, self-management routine appointment. Demographic measures were summarized by mean (SD) or percentage....
The logarithm of the relative risk function in a proportional hazards model involving one or more possibly time-dependent covariates is treated as specified sum constant term, main effects, and selected interaction terms. Maximum partial likelihood estimation used, where maximization taken over suitably chosen finite-dimensional space, whose dimension increases with sample size which constructed from linear spaces functions covariate their tensor products. $L_2$ rate convergence for estimate...
Abstract. Let ( X i , Y ), = 0, pL 1,… denote a bivariate stationary time series with being R d ‐valued and real‐valued. We consider the regression model =θ( ) + Z where θ(·) is an unknown function autoregressive process. Given realization of length n we examine problem estimating nonparametric parametric component . Under appropriate regularity conditions, it shown that both components can be optimally estimated.