搜索结果: 1-15 共查到“数学 distributions”相关记录104条 . 查询时间(0.093 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Pseudorandomness of Sato-Tate Distributions for Elliptic Curves
椭圆曲线 佐藤-泰特分布 伪随机性
2023/4/13
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Lines on holomorphic contact manifolds and a generalization of (2,3,5)-distributions to higher dimensions
全纯接触流形 线和 (2,3,5) 高维度推广
2023/4/19
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Submodular Functions: Extensions, Distributions, and Algorithms
子模块函数 扩展 分布 算法
2023/5/8
昆明理工大学理学院概率论与数理统计课件Chapter 6 Random Sampling--Sampling Distributions
昆明理工大学理学院 概率论与数理统计 课件 Chapter 6 Random Sampling Sampling Distributions
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 6 Random Sampling--Sampling Distributions.
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Functions of Random Variables
昆明理工大学理学院 概率论与数理统计 课件 Chapter 2 Random variables and their distributions Functions of Random Variables
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Functions of Random Variables.
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Some Continuous Prob-ability Distributions
昆明理工大学理学院 概率论与数理统计 课件 Chapter 2 Random variables and their distributions Some Continuous Prob-ability Distributions
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Some Continuous Prob-ability Distributions.
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Continuous Random Variables
昆明理工大学理学院 概率论与数理统计 课件 Chapter 2 Random variables and their distributions Continuous Random Variables
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Continuous Random Variables.
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Cumulative Distribution Functions
昆明理工大学理学院 概率论与数理统计 课件 Chapter 2 Random variables and their distributions Cumulative Distribution Functions
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Cumulative Distribution Functions.
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Some Important Discrete Probability Distributions
昆明理工大学理学院 概率论与数理统计 课件 Chapter 2 Random variables and their distributions Some Important Discrete Probability Distributions
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Some Important Discrete Probability Distributions.
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Discrete random variables
昆明理工大学理学院 概率论与数理统计 课件 Chapter 2 Random variables and their distributions Discrete random variables
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Discrete random variables.
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Random Variables
昆明理工大学理学院 概率论与数理统计 课件 Chapter 2 Random variables and their distributions Random Variables
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Random Variables.
DISTRIBUTIONS WITH SINGULARITIES:Punctual and Local Study
DISTRIBUTIONS WITH SINGULARITIES Punctual and Local Study
2015/9/29
DISTRIBUTIONS WITH SINGULARITIES:Punctual and Local Study.
Generalized linear and generalized additive models in studies of species distributions:setting the scene
Statistical modeling Generalized linear model Generalized additive model Species distribution Predictive modeling
2015/8/21
An important statistical development of the last 30 years has been the advance in regression analysis provided by generalized linear models (GLMs) and generalized additive models (GAMs). Here we intro...
Inference and Modeling with Log-concave Distributions
Log-concave Distributions Inference and Modeling
2015/8/20
Log-concave distributions are an attractive choice for modeling
and inference, for several reasons: The class of log-concave distributions contains most of the commonly used parametric distributions ...
Clustering with mixtures of log-concave distributions
EM algorithm Log-concave distribution Clustering Normal copula
2015/8/20
The EM algorithm is a popular tool for clustering observations via a parametric mixture model. Two disadvantages of this
approach are that its success depends on the appropriateness of the assumed pa...