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Error Probability Bounds for Balanced Binary Relay Trees
Binary relay tree distributed detection decentralized detection hypothesis testing information fusion dynamic system invariant region error probability decay rate sensor network
2011/6/21
We study the detection error probability associated with a balanced binary relay tree, where the leaves of
the tree correspond to N identical and independent detectors. The root of the tree represent...
Modeling Network Evolution Using Graph Motifs
Modeling Network Graph Motifs simulating network evolution
2011/6/16
Network structures are extremely important to the study of political science. Much of the data
in its subelds are naturally represented as networks. This includes trade, diplomatic and con
ict
rel...
The Asymptotic Covariance Matrix of the Odds Ratio Parameter Estimator in Semiparametric Log-bilinear Odds Ratio Models
Odds ratio asymptotic covariance matrix conditional sampling semiparametric log-linear models log-bilinear association logistic regression linear regression
2011/6/16
The association between two random variables is often of primary interest in statistical
research. In this paper semiparametric models for the association between random
vectors X and Y are consider...
MissForest - nonparametric missing value imputation for mixed-type data
MissForest missing value imputation mixed-type data
2011/6/16
Modern data acquisition based on high-throughput technology is often facing the
problem of missing data. Algorithms commonly used in the analysis of such large-scale data often
depend on a complete ...
A Gibbs approach to Chargaff's second parity rule
Reverse complementary relation Chargaff’s parity rules Gibbs measure Central Limit Theorem
2011/6/21
Chargaff’s second parity rule (CSPR) asserts that the frequencies of short polynucleotide chains are
the same as those of the complementary reversed chains. Up to now, this hypothesis has only been
...
Rapid Learning with Stochastic Focus of Attention
Rapid Learning Stochastic Attention MNIST data
2011/6/21
We present a method to stop the evaluation
of a decision making process when the result
of the full evaluation is obvious. This
trait is highly desirable for online marginbased
machine learning al...
美国统计高等教育的现状及其发展趋势
美国高等教育 统计学 生物统计学 人才培养
2013/8/13
统计学专业已经成为当今美国最热门的专业之一。美国统计学会的最新报告详细介绍了统计学和生物统计学专业的科研经费、学生就业及薪金水平等情况。美国国家卫生研究院于2001年和2003年先后两次召开专题会议,研讨生物统计学专业人才的培养、美国学界呼吁:加强下一代统计和生物统计专业人才的培养,特别要重视多重背景高层次统计学专业人才的培养。
基于最小路径与最小割集的复杂系统可靠性的描述与计算
复杂系统 最小路径 最小割集 可靠度
2013/8/13
本文讨论基于最小路径和最小割集的复杂系统可靠性的描述与计算问题。引入最小路径矩阵与最小刻集矩阵的概念,定义向量间的几种运算,并利用所定义运算给出由子系统可靠度精确表示系统可靠度的解析表达及计算方法。该解析表达非常重要,是复杂系统可靠性理论研究与实际应用的有效工具。
抽样调查中单元无回答的二重抽样法
抽样调查 无回答 单元无回答 二重抽样
2013/8/13
在抽样调查中,无回答对于抽样推断的影响较大,尤其是单元无回答。通常的通过增加样本容量来处理单元无回答的方式不能从本质上解决问题,在二重抽样的基础上再实施复杂估计的思路可以有效地提高抽样估计的精度。
统计推断中若干不可检验的假定
病因推断 观察性研究 不可检验的假定
2013/8/13
本文将讨论根据临床试验和观察性研究进行疗效评价常用的几种假定,以及在不同假定下可能出现的相互矛盾的结果。本文主要研究病因推断中处理分配机制的假定,疗效或暴露作用评价中对照个体的模型假定,不完全数据分析中缺失数据机制的假定。本文给出一些虚构的例子只是为了说明问题,并不蕴含任何医学结论。
空间点模式分析中离散趋势的描述研究及应用
空间统计 空间点模式分析 描述性统计 离散趋势
2013/8/13
目的 探讨空间点模式分析中描述离散趋势的统计指标的计算方法及应用价值。方法 借鉴经典统计学中描述离散趋势的统计指标思想和犯罪学中犯罪事件的描述性分析方法,提出了空间点模式分析中描述离散趋势的常用统计指标,并以2001~2006年安徽省池州市贵池区的急性血吸虫病例为例,介绍其应用价值。结果 获得了空间点模式分析中描述离散趋势的常用统计指标的计算方法、应用条件及应用价值。结论 空间点模式分析中描述离散...
国家抽样调查县的代表性问题研究①
国家抽样调查县 代表性 系数调整 抽样误差
2013/8/13
中国在1984年确定了国家抽样调查县,这些调查县一直使用至今,已有20多年。利用这些调查县,中国进行了许多关于农业的调查,并且有一些原因一直没有改变这些调查县。近年来,有人对这些调查县的代表性提出疑问,是可以理解的。我们应该解释这些调查县能被保持不变的原因,并能找出改进调查的好办法。本文给出一种方法,就是使用调整系数来解决这些调查具的代表性问题,并且利用第一次中国农业普查的数据来对方法进行模拟,得...
From Sparse Signals to Sparse Residuals for Robust Sensing
Sparse Signals Sparse Residuals
2010/11/8
One of the key challenges in sensor networks is the extraction of information by fusing data from a multitude of distinct, but possibly unreliable sensors. Recovering information from the maximum numb...
Semi-parametric dynamic time series modelling with applications to detecting neural dynamics
Dynamic time series modeling change-point testing Bayesian statistics statistics for neural data
2010/11/8
This paper illustrates novel methods for nonstationary time se-ries modeling along with their applications to selected problems in neuroscience. These methods are semi-parametric in that inferences ar...
Bayesian inference and model choice in a hidden stochastic two-compartment model of hematopoietic stem cell fate decisions
Stochastic two-compartment model hidden Markov models reversible jump MCMC hematopoiesis stem cell asymmetric division
2010/11/8
Despite rapid advances in experimental cell biology, the in vivo behavior of hematopoietic stem cells (HSC) cannot be directly ob-served and measured. Previously we modeled feline hematopoiesis using ...