CAREER: Data-Starved Inference on Point Processes
CAREER: Data-Starved Inference on Point Processes
批准号:
0643947
负责人:
Rebecca Willett
金额:
$40.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-02-15 至 2013-01-31
中文摘要
从表面上看,分析2003年纽约市的大停电,评估交通系统的瓶颈和应急准备,以及成像细胞的遗传活动是非常不同的挑战。然而,这些和许多其他重要问题的特征都是对离散事件的有限测量,例如一连串的系统故障事件,交通网络中通过少量检查站的车辆,或基因触发染料发出的微小光脉冲。这项研究的重点是开发基于复杂统计分析的创新理论和计算工具,从少量间接观察到的离散事件中提取有意义的信息。一些教育项目与这些研究活动紧密结合,包括开发新颖的动手学生活动,专注于从间接测量中获取信息。这些项目旨在通过真实世界的例子激发对工程学科的兴趣,并最终提高技术素养。高维点过程的数据匮乏推理包括各种各样的基本理论挑战,以及许多关键应用,包括荧光显微镜,网络流量分析,天体物理学和光谱学。这项研究包括一个理论和方法框架的发展,用于分析和指导设计的高维,数据匮乏,复杂的基于事件的系统,可能是动态变化的,标记有辅助特征向量,或支持不规则的拓扑结构。这项工作的教育方面与研究活动紧密结合,有助于进一步提高工程师和整个社会对信号处理挑战和工具的理解。特别是,调查人员正在为中小学生设计推广活动,并编制关于多维和统计信号处理的本科生和研究生课程。
英文摘要
On the surface, analyzing the 2003 blackout in New York City, evaluating transportation systems for bottlenecks and emergency preparedness, and imaging a cell's genetic activity are very different challenges. However, these and many other important problems are all characterized by limited measurements of discrete events, such as a cascading series of system failure events, vehicles passing a small number of checkpoints in a transportation network, or tiny pulses of light emitted by a gene-triggered dye. This research is focused on the development of innovative theoretical and computational tools based on sophisticated statistical analyses for extracting meaningful information from small numbers of indirectly observed discrete events. Several educational programs are tightly coupled with these research pursuits, including the development of novel hands-on student activities focused on deriving information from indirect measurements.These programs are designed to stimulate interest in engineering disciplines through real-world examples and ultimately improve technical literacy. Data-starved inference on high-dimensional point processes encompasses a wide variety of fundamental theoretical challenges coupled with many critical applications, including fluorescence microscopy, network traffic analysis, astrophysics, and spectroscopy. This research comprises the development of a theoretical and methodological framework for analyzing and guiding the design of high-dimensional, data-starved, and complex event-based systems which may be dynamically changing, marked with auxiliary feature vectors, or supported on irregular topologies. The educational aspects of this work are tightly integrated with the research activities and help further advance the understanding of signal processing challenges and tools among both engineers and society at large. In particular, the investigators are designing outreach activities for primary and secondary school students and developing undergraduate- and graduate-level courses on multidimensional and statistical signal processing.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
NSF Student Travel Grant for 2022 UChicago AI+Science Summer School (UChicago AI+Sci SS)
-
批准号:2229623
-
项目类别:Standard Grant
-
资助金额:$1.0万
-
财政年份:2022
-
负责人:Rebecca Willett
-
依托单位:
TRIPODS: Institute for Foundations of Data Science
-
批准号:2023109
-
项目类别:Continuing Grant
-
资助金额:$83.33万
-
财政年份:2020
-
负责人:Rebecca Willett
-
依托单位:
Collaborative Research: Physics-Based Machine Learning for Sub-Seasonal Climate Forecasting
-
批准号:1934637
-
项目类别:Continuing Grant
-
资助金额:$35.26万
-
财政年份:2019
-
负责人:Rebecca Willett
-
依托单位:
ATD: Collaborative Research: Automatic, Adaptive Detection and Description of Change in Time-Lapse Imagery
-
批准号:1925101
-
项目类别:Standard Grant
-
资助金额:$25.57万
-
财政年份:2019
-
负责人:Rebecca Willett
-
依托单位:
TRIPODS+X:RES: Collaborative Research: Data Science Frontiers in Climate Science
-
批准号:1839338
-
项目类别:Standard Grant
-
资助金额:$30.0万
-
财政年份:2018
-
负责人:Rebecca Willett
-
依托单位:
TRIPODS+X:RES: Collaborative Research: Data Science Frontiers in Climate Science
-
批准号:1930049
-
项目类别:Standard Grant
-
资助金额:$30.0万
-
财政年份:2018
-
负责人:Rebecca Willett
-
依托单位:
CIF: Small: Sparsity and Scarcity in High-Dimensional Point Processes
-
批准号:1319927
-
项目类别:Standard Grant
-
资助金额:$38.63万
-
财政年份:2013
-
负责人:Rebecca Willett
-
依托单位:
国内基金
海外基金
登录
查看更多内容
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
-
批准号:--
-
项目类别:合作创新研究团队
-
资助金额:--
-
批准年份:2024
-
负责人:姚韬
-
依托单位:
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
-
批准号:--
-
项目类别:外国青年学者研究基金项目
-
资助金额:--
-
批准年份:2024
-
负责人:江洋子
-
依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
-
批准号:--
-
项目类别:--
-
资助金额:40万元
-
批准年份:2020
-
负责人:Vikrant Gupta
-
依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
-
批准号:61373035
-
项目类别:面上项目
-
资助金额:77.0万元
-
批准年份:2013
-
负责人:冯志勇
-
依托单位:
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data
-
批准号:31070748
-
项目类别:面上项目
-
资助金额:34.0万元
-
批准年份:2010
-
负责人:Christine Nardini
-
依托单位:
高维数据的函数型数据(functional data)分析方法
-
批准号:11001084
-
项目类别:青年科学基金项目
-
资助金额:16.0万元
-
批准年份:2010
-
负责人:周迎春
-
依托单位:
染色体复制负调控因子datA在细胞周期中的作用
-
批准号:31060015
-
项目类别:地区科学基金项目
-
资助金额:25.0万元
-
批准年份:2010
-
负责人:莫日根
-
依托单位:
Computational Methods for Analyzing Toponome Data
-
批准号:60601030
-
项目类别:青年科学基金项目
-
资助金额:17.0万元
-
批准年份:2006
-
负责人:Axel Mosig
-
依托单位: