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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.
Learning continuous probability distributions with symmetric diffusion networks
continuous probability distributions symmetric diffusion networks
2015/6/19
Learning continuous probability distributions with symmetric diffusion networks.
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Online Learning Markov Decision Processes Adversarially Chosen Transition Probability Distributions
2013/5/2
We study the problem of learning Markov decision processes with finite state and action spaces when the transition probability distributions and loss functions are chosen adversarially and are allowed...
Spline Smoothing for Estimation of Circular Probability Distributions via Spectral Isomorphism and its Spatial Adaptation
Non-parametric density estimation circular data Smoothing Spline empirical Fourier coeffcients Fourier Basis Detection of Localisation Edge preserving function estima-tion
2012/11/22
Consider the problem when $X_1,X_2,..., X_n$ are distributed on a circle following an unknown distribution $F$ on $S^1$. In this article we have consider the absolute general set-up where the density ...
Martingale Couplings and Bounds on the Tails of Probability Distributions
Martingale Couplings Probability Distributions
2011/7/19
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.
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...
Constrained probability distributions of correlation functions
cosmology gravitational lensing large scale structure of the Universe galaxies statistics Methods statistical
2011/6/21
Two-point correlation functions are used throughout cosmology as a measure for the statistics of random fields. When used
in Bayesian parameter estimation, their likelihood function is usually replac...
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...
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.
Extensions of Dirac Chord Method with Quasi-Probability Distributions
Extensions Dirac Chord Method
2011/1/4
Dirac chord method may be used in many areas of physics for calculation of specific six-dimensional integrals for a convex body using probability density of chord length distribution. Attempts to appl...
Probability distributions and estimation of Ali-Mikhail-Haq copula
Dependence measure Tail dependence
2010/9/21
The Pearson product-moment correlation commonly used as statistical dependence measure was developed assuming normal marginal and addresses only linear dependence. In most applications, the distributi...
A simple derivation and classification of common probability distributions based on information symmetry and measurement scale
simple derivation classification common probability distributions based measurement scale
2010/11/15
Commonly observed patterns typically follow a few distinct families of probability distributions. Over one hundred years ago, Karl Pearson provided a systematic derivation and classification of the c...
Bounds on Stock Price probability distributions in Local-Stochastic Volatility models
Law of the spot price local-stochastic volatility moment explosion
2010/10/20
We show that in a large class of stochastic volatility models with additional skew-functions (local-stochastic volatility models) the tails of the cumulative distribution of the log-returns behave as...
The exp-G family of probability distributions
Exp-G distribution Order statistics Fisher’s information matrix Exp-Weibull distribution Exp-beta distribution
2010/3/11
In this paper we introduce a new method to add a parameter to a family of distri-
butions. The additional parameter is completely studied and a full description of its
behaviour in the distribution ...
The alchemy of probability distributions: beyond Gram-Charlier expansions, and a skew-kurtotic-normal distribution from a rank transmutation map
alchemy probability distributions rank transmutation map
2010/10/29
Motivated by the need for parametric families of rich and yet tractable distributions in financial mathematics, both in pricing and risk management settings, but also considering wider statistical app...
