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安徽师范大学数学计算机科学学院概率论与数理统计英文课件Chapter1 Random Events and Probability
安徽师范大学数学计算机科学学院 概率论 数理统计 英文课件 Chapter1 Random Events Probability
2019/11/26
安徽师范大学数学计算机科学学院概率论与数理统计英文课件Chapter1 Random Events and Probability。
2018随机矩阵与自由概率论研讨会（Workshop on Random Matrices and Free Probability Theory）
2018 随机矩阵与自由概率论 研讨会
2017/12/20
The workshop will explore large-N asymptotics of random matrices, in connection with the operator-algebra models of their limiting behavior that appear in free probability theory. The behavior or rand...
2017中国-法国-俄罗斯概率论联合研讨会（Joint China-France-Russia Symposium on Probability Theory）
2017 中国-法国-俄罗斯概率论联合 研讨会
2017/4/24
The aim of the Symposium is to update a tradition of collaboration between probabilists in China, France and Russia, witnessed by two successful meetings in the past: the Joint China-France Symposium ...
Joint China-France-Russia Symposium on Probability Theory
Joint China-France-Russia Symposium Probability Theory
2017/3/28
The aim of the Symposium is to update a tradition of collaboration between probabilists in China, France and Russia, witnessed by two successful meetings in the past: the Joint China-France Symposium ...
安徽师范大学概率论与数理统计课件Chapter1 Random Events and Probability
安徽师范大学 概率论 数理统计 课件 Chapter1 Random Events Probability
2017/3/6
安徽师范大学概率论与数理统计课件Chapter1 Random Events and Probability。
山东大学主办的英文期刊《Probability,Uncertainty and Quantitative Risk》正式出版（图）
山东大学 英文期刊 《Probability,Uncertainty and Quantitative Risk》
2016/9/20
近日，由教育部主管、山东大学主办的金融数学类专业学术期刊《Probability, Uncertainty and Quantitative Risk》(即《概率、不确定性与定量风险》，简称《PUQR》) 第一期正式在线发布。该刊由山东大学自然科学学报编辑部组织申报，由中国科协、财政部、教育部、国家新闻出版广电总局、中国科学院和中国工程院等六部委共同实施的“中国科技期刊国际影响力提升计划”提供专项...
Probability on Groups: Random Walks and Invariant Diffusions
Invariant Diffusions Random Walks
2015/8/26
What do card shuffling, volume
growth, and Harnack inequalities
have to do with each other? They all
arise in the study of random walks
on groups. Probability on groups is
concerned with probabil...
Despite a true antipathy to the subject Hardy contributed deeply to modern probability. His work with Ramanujan begat probabilistic number theory. His work on Tauberian theorems and divergent series h...
Efficient and optimal binary Hopfield associative memory storage using minimum probability flow
Efficient and optimal binary associative memory storage minimum probability flow Adaptation and Self-Organizing Systems
2012/4/26
We present an algorithm to store binary memories in a Hopfield neural network using minimum probability flow, a recent technique to fit parameters in energy-based probabilistic models. In the case of ...
Consensus and Products of Random Stochastic Matrices: Exact Rate for Convergence in Probability
Consensus consensus+innovations performance analysis random network convergence in probability exponential rate
2012/3/1
Distributed consensus and other linear systems with system stochastic matrices $W_k$ emerge in various settings, like opinion formation in social networks, rendezvous of robots, and distributed infere...
The probability of rectangular unimodular matrices over $\F_q[x]$
Natural density unimodular matrices Riemann’s zeta function q-zeta function finite field polynomial ring
2011/9/13
Abstract: In this note, we compute the probability that a $k\times n$ matrix can be extended to an $n\times n$ invertible matrix over $\F_q[x]$, which turns out to be $(1-q^{k-n})(1-q^{k-1-n})...(1-q^...
Martingale Couplings and Bounds on the Tails of Probability Distributions
Martingale Couplings and Bounds Probability Distributions Statistics Theory
2011/8/30
Abstract: Hoeffding has shown that tail bounds on the distribution for sampling from a finite population with replacement also apply to the corresponding cases of sampling without replacement. (A spec...
Extensions of Dirac chord method with quasi-probability distributions
Extensions of Dirac chord method quasi-probability distributions
2011/2/24
The Dirac chord method may be suitable in different areas of physics for the repre-sentation of certain six-dimensional integrals for a convex body using the probability density of the chord length di...
Computationally Efficient Modulation Level Classification Based on Probability Distribution Distance Functions
Computationally Efficient Modulation Level Classification Probability Distribution Distance Functions
2011/2/25
We present a novel modulation level classification (MLC) method based on probability distribution distance functions.
Exact sampling for intractable probability distributions via a Bernoulli factory
intractable probability distributions Bernoulli factory
2011/3/3
Many applications in the eld of statistics require Markov chain Monte Carlo methods.
Determining appropriate starting values and run lengths can be both analytically and empirically challenging.