搜索结果: 16-30 共查到“知识库 教育统计学”相关记录58条 . 查询时间(3.623 秒)
Second-Order Non-Stationary Online Learning for Regression
Second-Order Non-Stationary Online Learning for Regression
2013/4/28
The goal of a learner, in standard online learning, is to have the cumulative loss not much larger compared with the best-performing function from some fixed class. Numerous algorithms were shown to h...
Astroinformatics of galaxies and quasars: a new general method for photometric redshifts estimation
cosmology observations galaxies:redshifts
2011/7/19
With the availability of the huge amounts of data produced by current and future large multi-band photometric surveys, photometric redshifts have become a crucial tool for extragalactic astronomy and ...
An Interpretation of the Moore-Penrose Generalized Inverse of a Singular Fisher Information Matrix
Fisher Information Matrix Moore-Penrose
2011/7/19
An interpretation of the Moore-Penrose generalized inverse of a singular Fisher information matrix (FIM) is presented in this paper, from the perspective of Cramer-Rao bound (CRB). CRB is a lower boun...
A Direct Estimation Approach to Sparse Linear Discriminant Analysis
Classification constrained l1-minimization Fisher’s rule
2011/7/19
This paper considers sparse linear discriminant analysis of high-dimensional data. In contrast to the existing methods which are based on separate estimation of the precision matrix $\O$ and the diffe...
Multistage tests of multiple hypotheses
Closed testing Family-wise error rate Multiple hypothesis testing
2011/7/19
Conventional multiple hypothesis tests use step-up, step-down, or closed testing methods to control the overall error rates.
Multivariate Evolutionary Analyses in Astrophysics
Multivariate Evolutionary Analyses Astrophysics
2011/7/7
The large amount of data on galaxies, up to higher and higher redshifts, asks for sophisticated statistical approaches to build adequate classifications.
Identifying and understanding modular organizations is centrally important in the study of complex systems. Several approaches to this problem have been advanced, many framed in information-theoretic ...
Considerate Approaches to Achieving Sufficiency for ABC model selection
Considerate Approaches Achieving Sufficiency ABC model selection
2011/7/6
For nearly any challenging scientific problem evaluation of the likelihood is problematic if not impossible. Approximate Bayesian computation (ABC) allows us to employ the whole Bayesian formalism to ...
Simple estimators of false discovery rates given as few as one or two p-values without strong parametric assumptions
Bayesian false discovery rate confidence distribution empirical Bayes
2011/7/6
Multiple comparison procedures that control a family-wise error rate or false discovery rate provide an achieved error rate as the adjusted p-value for each hypothesis tested.
Statistical Inference: The Big Picture
Bayesian confidence frequentist statistical education
2011/7/5
Statistics has moved beyond the frequentist-Bayesian controversies of the past. Where does this leave our ability to interpret results?
From Agreement to Asymptotic Learning
Agreement Asymptotic Learning Bayesian agents asymptotic learning communication model
2011/6/20
Since Aumann's Agreement Theorem [3], the study of the exchange of information between
Bayesian agents has resulted in broad theoretical insight into the phenomenon of agreement
and the dynamics tha...
2008年统计从业资格考试试题调查问卷分析
2008年 从业资格考试试题 调查问卷
2009/7/14
为了解2008年统计从业资格考试试题的适用程度，改进统计从业资格考试工作，进而推进统计从业资格认定工作的更好开展，国家统计局通过统计教育中心对部分省（区、市）的部分考生进行了一次有关考试试题内容的问卷调查。
统计职业道德教育应处理好五个关系
职业道德教育 五个关系
2009/7/14
职业道德是人们在职业生活中应遵循的基本准则，是一般道德在职业生活中的具体体现，它是在从事一定职业活动中与同行、服务对象以及与社会其他人员联系的过程中所形成的规范，同时又受到社会公德的约束。统计职业道德教育就是对从事统计职业的人员进行统计道德规范和社会公德教育，在统计职业教育过程中必须处理好以下五个方面的关系。
基于网络技术的统计教育培训模式研究
网络技术 统计教育 培训模式
2009/7/14
本文试图以终身教育理念、成人学习理论为指导，依托信息技术、网络技术，对构建开放的统计教育培训模式加以探讨。
Refined estimates for some basic random walks on the symmetric and alternating groups
Convergence of Markovchains randomwalks cutoff phenomenon
2009/6/12
Refined estimates for some basic random walks on the symmetric and alternating groups.