Stochastic Analysis on Manifolds with Time-Dependent Riemannian Metric

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：yadnlf

【摘要】

：

Stochastic Analysis on a Riemannian manifold is a well developed area in stochastic analysis.We will discuss recent developments on stochastic analysis on a manifold whose Riemannian metric evolves wi

【作者】

：

Elton P.Hsu

【出处】

：

上海交通大学

【发表日期】

：

2016年4期

下载到本地 , 更方便阅读

下载此文赞助VIP

声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架

论文部分内容阅读

其他文献

FUNCTIONAL MIXED-EFFECTS ANALYSIS OF VARIANCE FOR HUMAN MOVEMENT PATTERNS

By using advanced motion capture systems,human movement data can be collected densely over time and functional data analysis provides useful tools for analysing the resulting curves.

会议

Functional data analysisFunctional F testSplit-plot designHuman movement data

Differences in Differences:Bias Reduction with Regular Kernels

It is well known that it is important to control the bias in esti-mating conditional expectations in order to obtain asymptotic normality for quantities of interest(e.g.a finite dimensional parameter

会议

Bias ReductionKernel EstimatorsDifferences in DifferencesSemiparametricNonpa

On Hermitian matrices diffusion and Dyson Brownian motion with general potential

We consider diffusion processes on Hermitian matrices ensemble and the corresponding eigenvalues processes,the so-called Dyson Brownian motion.

会议

Hermitian matrices diffusionDyson Brownian motionBakry-Emery Ricci curvature

Model-Based Correction for Artifacts induced by mismatched attenuation correction in a PET/CT Scanne

Positron emission tomography(PET)is a functional imaging technique that is used to observe metabolic processes in the body.

会议

Positron emission tomographyAttenuation correctionArtefact correction

Leaning high-dimensional generalized linear auto-regressive models

Neuroscience,social network analysis and many other disciplines involve the generation of multivariate count data observed over time.

会议

High-dimensionalnon-linear time seriesauto-regressive modelspoint processes

Asynchronous longitudinal data analysis

We study partially linear models for asynchronous longitudinal data to incorporate nonlinear time trend effects.

会议

Asynchronous longitudinal dataEstimating estimationsLocal polynomialsPartiall

Learning useful information from existing RNA-Seq data sets

Over the last few years,RNA sequencing(RNA-Seq)has become the technology of choice for measuring gene expression.

会议

RNA-Seqdifferential expressionoverdispersioncomparabilityintegrated data ana

Confidence regions for Treatment Effects in Subgroups in Biomarker Stratified Designs

Subgroup analysis has important applications in the analysis of controlled clinical trials.Sometimes the result of the overall group fails to demonstrate that the new treatment is better than the cont

会议

Confidence regiontreatment effectssubgroupbiomarker stratified design

Subgroup analysis of treatment effects for misclassified biomarkers with time-to-event data

There is increasing acknowledgement of the existence of patient subgroups within clinical research.As a consequence,many clinical trials look to perform subgroup analysis to assess whether a treatment

会议

survival analysisbiomarkermisclassificationEM algorithmsimultaneous inferenc

Indirect Gaussian Graph Learning beyond Gaussianity

This paper studies how to capture dependency graph structures from real data which may not be multivariate Gaussian.

会议

nonconvex optimizationstatistical accuracy

Stochastic Analysis on Manifolds with Time-Dependent Riemannian Metric

其他学术论文