803 results for distributions · 0.080s

arxiv.org/abs/math/0008160v3

The distributions of the entries of Young tableaux

Let T^* be a standard Young tableau of k cells. We show that the probability that a Young tableau of n cells contains T^* as a subtableau is, in the limit n -> \infty, equal to ν(π(T^*))/k!, where π(T^*) is the shape (= Ferrers diagram) of T^* a...

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probability distributions - How to prove that minimum of two ...

Nov 25, 2013 · How can I prove that the minimum of two exponential random variables is another exponential random variable, i.e. Z = min(X,Y)

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arxiv.org/abs/1503.03318v2

On the decomposition of stochastic cellular automata

In this paper we present two interesting properties of stochastic cellular automata that can be helpful in analyzing the dynamical behavior of such automata. The first property allows for calculating cell-wise probability distributions over the state...

arxiv.org/abs/astro-ph/0108393v1

Lateral Distribution Studies for the PACT Experiment

Monte Carlo calculations have been done to study the possibilities of using different spatial distributions, local fluctuations and the number of Cerenkov photons in gamma ray showers to increase the sensitivity of the PACT experiment. After matchi...

arxiv.org/abs/q-bio/0312040v1

A model for processivity of molecular motors

We propose a two-dimensional model for a complete description of the dynamics of molecular motors, including both the processive movement along track filaments and the dissociation from the filaments. The theoretical results on the distributions of...

arxiv.org/abs/1906.04282v2

Stochastic Neural Network with Kronecker Flow

Recent advances in variational inference enable the modelling of highly structured joint distributions, but are limited in their capacity to scale to the high-dimensional setting of stochastic neural networks. This limitation motivates a need for sca...

arxiv.org/abs/1903.00525v1

Optimal steering for non-Markovian Gaussian processes

At present, the problem to steer a non-Markovian process with minimum energy between specified end-point marginal distributions remains unsolved. Herein, we consider the special case for a non-Markovian process y(t) which, however, assumes a finite-d...

arxiv.org/abs/0812.2904v2

A refined model for spinning dust radiation

We present a comprehensive treatment of the spectrum of electric dipole emission from spinning dust grains, updating the commonly used model of Draine and Lazarian. Grain angular velocity distributions are computed using the Fokker-Planck equation;...

en.wikipedia.org/wiki/Q%E2%80%93Q_plot

Q–Q plot - Wikipedia

statistics, a Q–Q plot (quantile–quantile plot) is a probability plot, a graphical method for comparing two probability distributions by plotting their quantiles

arxiv.org/abs/0804.2148v1

The Baltimore and Utrecht models for cluster dissolution

The analysis of the age distributions of star cluster samples of different galaxies has resulted in two very different empirical models for the dissolution of star clusters: the Baltimore model and the Utrecht model. I describe these two models and...

arxiv.org/abs/2102.05423v2

Statistics of coherent waves inside media with Lévy disorder

Structures with heavy-tailed distributions of disorder occur widely in nature. The evolution of such systems, as in foraging for food or the occurrence of earthquakes is generally analyzed in terms of an incoherent series of events. But the study of...

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Distribution Definition & Meaning | YourDictionary

Something distributed; an allotment. Distributions from a retirement account. The result of distributing; arrangement. The relative arrangement of the elements of a statistical population based on some …

en.wikipedia.org/wiki/Gamma_distribution

Gamma distribution - Wikipedia

Bayesian inference, the gamma distribution is the conjugate prior to many likelihood distributions: the Poisson, exponential, normal (with known mean), Pareto

arxiv.org/abs/2402.08324v1

Uncertainty Quantification via Stable Distribution Propagation

We propose a new approach for propagating stable probability distributions through neural networks. Our method is based on local linearization, which we show to be an optimal approximation in terms of total variation distance for the ReLU non-lineari...

arxiv.org/abs/1001.4026v3

Scaled momentum spectra in deep inelastic scattering at HERA

Charged particle production has been studied in neutral current deep inelastic ep scattering with the ZEUS detector at HERA using an integrated luminosity of 0.44 fb^-1. Distributions of scaled momenta in the Breit frame are presented for particles i...