词条 | Rademacher distribution |
释义 |
name =Rademacher| type =mass| pdf_image =| cdf_image =| parameters =| support =| pdf =| cdf =| mean =| median =| mode =N/A| variance =| skewness =| kurtosis =| entropy =| mgf =| char =| }} In probability theory and statistics, the Rademacher distribution (which is named after Hans Rademacher) is a discrete probability distribution where a random variate X has a 50% chance of being +1 and a 50% chance of being -1.[1] A series of Rademacher distributed variables can be regarded as a simple symmetrical random walk where the step size is 1. Mathematical formulationThe probability mass function of this distribution is In terms of the Dirac delta function, as Van Zuijlen's boundVan Zuijlen has proved the following result.[2] Let Xi be a set of independent Rademacher distributed random variables. Then The bound is sharp and better than that which can be derived from the normal distribution (approximately Pr > 0.31). Bounds on sumsLet {xi} be a set of random variables with a Rademacher distribution. Let {ai} be a sequence of real numbers. Then where ||a||2 is the Euclidean norm of the sequence {ai}, t > 0 is a real number and Pr(Z) is the probability of event Z.[3] Let Y = Σ xiai and let Y be an almost surely convergent series in a Banach space. The for t > 0 and s ≥ 1 we have[4] for some constant c. Let p be a positive real number. Then the Khintchine inequality says that[5] where c1 and c2 are constants dependent only on p. For p ≥ 1, See also: Concentration inequality - a summary of tail-bounds on random variables. ApplicationsThe Rademacher distribution has been used in bootstrapping. The Rademacher distribution can be used to show that normally distributed and uncorrelated does not imply independent. Random vectors with components sampled independently from the Rademacher distribution are useful for various stochastic approximations, for example:
Rademacher random variables are used in the Symmetrization Inequality. Related distributions
References1. ^{{cite book |last=Hitczenko |first=P. |last2=Kwapień |first2=S. |year=1994 |chapter=On the Rademacher series |title=Probability in Banach Spaces |series=Progress in probability |volume=35 |pages=31–36 |doi=10.1007/978-1-4612-0253-0_2 |isbn=978-1-4612-6682-2 }} {{ProbDistributions|discrete-finite}}{{DEFAULTSORT:Rademacher Distribution}}Distribuzione discreta uniforme#Altre distribuzioni2. ^{{cite journal |last=van Zuijlen |first=Martien C. A. |year=2011 |title=On a conjecture concerning the sum of independent Rademacher random variables |journal= |arxiv=1112.4988 |bibcode=2011arXiv1112.4988V }} 3. ^{{cite journal |last=Montgomery-Smith |first=S. J. |year=1990 |title=The distribution of Rademacher sums |journal=Proc Amer Math Soc |volume=109 |issue= 2|pages=517–522 |doi=10.1090/S0002-9939-1990-1013975-0 }} 4. ^{{cite journal |last=Dilworth |first=S. J. |last2=Montgomery-Smith |first2=S. J. |year=1993 |title=The distribution of vector-valued Radmacher series |journal=Ann Probab |volume=21 |issue=4 |pages=2046–2052 |jstor=2244710 |doi=10.1214/aop/1176989010 |arxiv=math/9206201 }} 5. ^{{cite journal |last=Khintchine |first=A. |year=1923 |title=Über dyadische Brüche |journal=Math. Z. |volume=18 |issue=1 |pages=109–116 |doi=10.1007/BF01192399 }} 6. ^{{cite journal |last=Avron |first=H. |last2=Toledo |first2=S. |title=Randomized algorithms for estimating the trace of an implicit symmetric positive semidefinite matrix |journal=Journal of the ACM |volume=58 |issue=2 |pages=8 |year=2011 |doi=10.1145/1944345.1944349 |citeseerx=10.1.1.380.9436 }} 1 : Discrete distributions |
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