搜索结果: 1-15 共查到“理学 Bootstrap”相关记录24条 . 查询时间(0.062 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Bootstrap-based Statistical Analysis for Multi-period Data-driven Inventory Models with Seasonal Demand
自举 统计分析 季节性需求 多周期数据 驱动库存模型
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2023/4/24
We study multi-period inventory control systems in which managers face seasonal demands with unknown distributions and make inventory decisions based on past demand data. It can be shown that a data-d...
Bootstrap模型选择方法的渐近行为研究
Bootstrap模型选择方法 非贝叶斯方法 参数估计 支持率
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2022/1/26
Bootstrap方法由Felsenstein于1985年引入系统发生学，是最常用的评估系统发育树可信度的非贝叶斯方法。研究团队将系统发育重建看做统计学中的模型选择问题，而非给定模型下的参数估计问题，每个可能的系统树对应一个非嵌套的备择模型。在这样的视角下，使用bootstrap方法进行模型选择的渐近理论的研究有重要价值。另一方面，在实际数据分析中，研究者发现在分析大规模基因组数据时无论估计的系统...
小样本岩土参数的Bootstrap估计及边坡稳定分析
边坡工程 Bootstrap法 小样本 参数估计 边坡可靠度 安全系数
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2018/5/2
针对岩土参数小样本下t分布法区间估计较宽将导致工程设计偏于保守的问题，根据描述土体固有变异性的c，?总体开展小样本随机取样勘察模拟，运用Bootstrap法进行数据重构得到区间估计和点估计结果，对比与t分布法所得参数估计的差异。基于充足次数重复抽样构建的参数估计空间，分析与之映射的边坡稳定安全系数离散特征。研究表明：对应于同一置信水平，能充分利用小样本经验分布信息的Bootstrap法可有效收窄c...
Model selection, estimation, and bootstrap smoothing
model averaging Cp, Lasso bagging
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2015/8/20
Classical statistical theory ignores model selection in assessing estimation accuracy. Here we consider
bootstrap methods for computing standard errors and con dence intervals that take model selecti...
Bayesian Inference and the Parametric Bootstrap
Parametric Bootstrap Bayesian Inference
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2015/8/20
Bayesian Inference and the Parametric Bootstrap。
Modular Bootstrap of N = 2 Liouville Theory
Modular Bootstrap N = 2 Liouville Theory
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2015/3/19
Liouville theory is characterized by the exponential interaction μe2bφ and a coupling to worldsheet curvature QRφ. A typical irrational CFT (c = 1 + 6Q2). Difficult theory solved in late 90’s using th...
A moderate deviation principle for empirical bootstrap measure
Large deviations moderate deviations bootstrap empirical measure
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2012/6/27
We establish two moderate deviation principles (MDP) in the bootstrap setting. We prove MDP for the joint distribution of the empirical measure and the empirical bootstrap measure (empirical measure o...
Linear algebra and bootstrap percolation
Bootstrap percolation linear algebra weak saturation
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2011/8/29
Abstract: In $\HH$-bootstrap percolation, a set $A \subset [n]$ of initially `infected' vertices spreads by infecting vertices which are the only uninfected vertex in an edge of the hypergraph $\HH \s...
Graph bootstrap percolation
Graph bootstrap percolation Combinatorics Probability
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2011/8/29
Abstract: Graph bootstrap percolation is a deterministic cellular automaton which was introduced by Bollob\'as in 1968, and is defined as follows. Given a graph $H$, and a set $G \subset E(K_n)$ of in...
Jackknife and bootstrap with cycling blocks for the estimation of fractional parameter in ARFIMA model
Jackknife bootstrap fractionally parameter ARFIMA model moving blocks non overlapping blocks
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2011/4/6
One of most important problems concerning the ARFIMA time series model is the estimation of fractional parameter d. Various methods have been used to solve this problem, such as the log-periodogram r...
Heterogeneous-k-core versus Bootstrap Percolation on Complex Networks
Heterogeneous-k-core Bootstrap Percolation Complex Networks
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2011/3/3
We introduce the heterogeneous-k-core, which generalizes the k-core, and contrast it with bootstrap percolation.
基于Wild Bootstrap 非参数方法的AR模型线性检验
Wild Bootstrap AR模型 检验水平 检验势 非线性
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2012/11/23
介绍了AR模型线性的非参数核检验统计量，并对检验统计量进行了检验水平和检验势的Wild Bootstrap模拟.模拟结果显示，非参数核检验统计量的Wild Bootstrap检验稳健性和可靠性都比渐近检验高，TAR与双线性AR模型比其他3种AR的检验势高.
Bootstrap percolation on the random graph G_{n,p}
Bootstrap percolation random graph G_{n,p}
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2011/2/21
Bootstrap percolation on the random graph Gn,p is a process of spread of “activation” on a
given realization of the graph with a given number of initially active nodes. At each step those vertices wh...
右删失情形下平均生存时间的加权Bootstrap推断
加权Bootstrap 右删失数据 平均生存时间 置信区间
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2009/9/21
在右删失情形下,基于一类合成数据,采用加权Bootstrap方法获得了平均生存时间的加权Bootstrap估计及其加权Bootstrap分布,并就权重是否独立两种情形, 证明了此估计的相合性及此分布近似的有效性.基于此, 构造了平均生存时间的置信区间. 在数值模拟中, 取权为Dirichlet
$(n;1,\cdots,1) $, 并从覆盖概率和区间长度角度, 比较了加权Bootstrap 和...
基于分位数过程能力指数的 Bootstrap 置信区间
分位数 过程能力指数 极大似然估计 Bootstrap 置信区间
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2012/9/26
讨论了基于分位数过程能力指数的Bootstrap 置信区间, 并以Taguchi指数p mC ′ 为例, 在过程服从Weib ull分布情况下给出了指数p mC ′ 的Bootstrap 置信区间的求法, 通过模拟研究验证了该方法的可行性.