搜索结果: 1-15 共查到“理学 conditional”相关记录62条 . 查询时间(0.017 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Model-free conditional screening for ultrahigh-dimensional survival data via conditional distance correlation
条件距离 相关性 超高维 生存数据 无模型 条件筛选
2023/5/4
How to select the active variables which have significant impact on the event of interest is a very important and meaningful problem in the statistical analysis of ultrahigh-dimensional data. In many ...
WATERBODIES EXTRACTION FROM LANDSAT8-OLI IMAGERY USING AWATER INDEXS-GUIED STOCHASTIC FULLY-CONNECTED CONDITIONAL RANDOM FIELD MODEL AND THE SUPPORT VECTOR MACHINE
Water index CRF Landsa Water extraction SVM
2018/5/15
One of the most important applications of remote sensing classification is water extraction. The water index (WI) based on Landsat images is one of the most common ways to distinguish water bodies fro...
昆明理工大学理学院概率论与数理统计课件Chapter 1 The Axioms of Probability--Conditional Probability
昆明理工大学理学院 概率论与数理统计 课件 Chapter 1 The Axioms of Probability Conditional Probability
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 1 The Axioms of Probability--Conditional Probability.
Closed-form expansion, conditional expectation, and option valuation
asymptotic expansion diffusion option pricing conditional expectation iterated stochastic integral
2016/1/25
Enlightened by the theory of Watanabe [Watanabe S (1987) Analysis of Wiener functionals (Malliavin calculus) and its applications to heat kernels. Ann. Probab. 15:1–39] for analyzing generalized rando...
AFEM for the Laplace-Beltrami Operator on Graphs: Design and Conditional Contraction Property
Laplace-Beltrami operator graphs adaptive fi nite element method
2015/12/11
We present an adaptive finite element method (AFEM) of any polynomial degree for the
Laplace-Beltrami operator on C
1
graphs Γ in R
d
(d ≥ 2). We first derive residual-type a
posteri...
One Sketch For All:Theory and Application of Conditional Random Sampling
One Sketch For All Theory and Application Conditional Random Sampling
2015/8/21
Conditional Random Sampling (CRS) was originally proposed for efficiently computing pairwise (l2, l1) distances, in static, large-scale, and sparse data. This study modifies the original CRS and exten...
ALGEBRAIC ALGORITHMS FOR SAMPLING FROM CONDITIONAL DISTRIBUTIONS
Structure markov chain algorithm the discrete sampling statistical index family conditions spectral analysis data
2015/7/14
We construct Markov chain algorithms for sampling from discrete
exponential families conditional on a sufticient statistic. Examples include
contingency tables, logistic regression, and spectral a...
Conditional Optimal Composite Design.
Conditional Gaussian Fluctuations and Refined Asymptotics of the Spin In the Phase-Coexistence Region
Conditional Gaussian Fluctuations Spin
2014/12/8
In this dissertation four results are presented on the fluctuations of the spin per site around the thermodynamic magnetization in the mean-field Blume-Capel model, a basic model in statistical mechan...
The Relative Efficiency of the Conditional Root Square Estimation of Parameter in Inhomogeneous Equality Restricted Linear Model
Generalized Conditional Root Square Estimation Specific Conditional Root Square Estimation Relative Efficiency
2013/1/30
This paper made a discuss on the relative efficiency of the generalized conditional root square estimation and the specific conditional root square estimation in paper [1,2] in inhomogeneous equality ...
Conditional Probabilities of Multivariate Poisson Distributions
Conditional Probabilities Multivariate Poisson Distributions
2012/11/23
Multivariate Poisson distributions have numerous applications. Fast computation of these distributions, holding constant a fixed set of linear combinations of these variables, has been explored by Son...
Model-free multiclass conditional probability estimation via quantile regression
interva lestimate multiclass classication probability estimation quantile regression tuning
2012/11/23
Conventional multiclass conditional probability estimation often requires distributional model assumptions such as Fisher's discriminate analysis and logistic regression. In this paper,a model-free es...
Conditional Sure Independence Screening
False selection rate Generalized linear models Sparsity Sure screening Variable selection
2012/6/21
Independence screening is a powerful method for variable selection for `Big Data' when the number of variables is massive. Commonly used independence screening methods are based on marginal correlatio...
Conditional Kolmogorov Complexity and Universal Probability
Conditional Kolmogorov Complexity Universal Probability Information Theory
2012/6/21
The conditional in conditional Kolmogorov complexity commonly is taken to be a finite binary string. The Coding Theorem of L.A. Levin connects unconditional prefix Kolmogorov complexity with the discr...
An Adaptive Conditional Zero-Forcing Decoder with Full-diversity, Least Complexity and Essentially-ML Performance for STBCs
Adaptive Conditional Zero-Forcing Decoder Full-diversity Essentially-ML Performance STBCs
2012/5/24
A low complexity, essentially-ML decoding technique for the Golden code and the 3 antenna Perfect code was introduced by Sirianunpiboon, Howard and Calderbank. Though no theoretical analysis of the de...