Results 21 to 30 of about 3,407,167 (298)

Algorithms and error bounds for multivariate piecewise constant approximation [PDF]

, 2011
We review the surprisingly rich theory of approximation of functions of many vari- ables by piecewise constants. This covers for example the Sobolev-Poincar´e inequalities, parts of the theory of nonlinear approximation, Haar wavelets and tree ...
Davydov, Oleg
core   +3 more sources

Normal approximation of Kabanov-Skorohod integrals on Poisson spaces [PDF]

, 2023
We consider the normal approximation of Kabanov-Skorohod integrals on a general Poisson space. Our bounds are for the Wasserstein and the Kolmogorov distance and involve only difference operators of the integrand of the Kabanov-Skorohod integral.
Molchanov, Ilya, I. Molchanov, Last, Günter, M. Schulte, Schulte, Matthias, G. Last   +5 more
core   +2 more sources

Interpretable Transformed ANOVA Approximation on the Example of the Prevention of Forest Fires

Frontiers in Applied Mathematics and Statistics, 2022
The distribution of data points is a key component in machine learning. In most cases, one uses min-max-normalization to obtain nodes in [0, 1] or Z-score normalization for standard normal distributed data. In this paper, we apply transformation ideas in
Daniel Potts, Michael Schmischke
doaj   +1 more source

A comparison of strategies for Markov chain Monte Carlo computation in quantitative genetics

Genetics Selection Evolution, 2008
In quantitative genetics, Markov chain Monte Carlo (MCMC) methods are indispensable for statistical inference in non-standard models like generalized linear models with genetic random effects or models with genetically structured variance heterogeneity ...
Sorensen Daniel, Ibánẽz-Escriche Noelia, Waagepetersen Rasmus   +2 more
doaj   +1 more source

The Existence, Uniqueness, and Carathéodory’s Successive Approximation of Fractional Neutral Stochastic Differential Equation

Fractal and Fractional, 2022
The existence, uniqueness, and Carathe´odory’s successive approximation of the fractional neutral stochastic differential equation (FNSDE) in Hilbert space are considered in this paper.
Xiaolin Yuan, Yongguang Yu, Guojian Ren, Wei Chen, Weiyi Xu   +4 more
doaj   +1 more source

The discount version of large deviations for a randomly indexed sum of random variables

Lietuvos Matematikos Rinkinys, 2011
In this paper, we consider a compound random variable Z = \sum^N_{j=1} vjXj , where 0 < v < 1, Z = 0, if N = 0. It is assumed that independent identically distributed random variables X1,X2, . . .
Aurelija Kasparavičiūtė, Leonas Saulis   +1 more
doaj   +1 more source

Cosmic shear covariance: the log-normal approximation [PDF]

, 2011
Context. Accurate estimates of the errors on the cosmological parameters inferred from cosmic shear surveys require accurate estimates of the covariance of the cosmic shear correlation functions. Aims.
S. Hilbert, Hartlap, J., Hilbert, S., J. Hartlap, Schneider, P., P. Schneider   +5 more
core   +1 more source

Approximation of binomial probability function for a normal probability function

, 2011
Notions of statistics and probabilityThe digital animation presents the approximation of the function of the binomial probability for a function of normal probability, also known as Gaussian distribution.
Rojo, Isabel Martín, Lopez, Miguel Angel de la Fuente, Pujato, Carmen Candioti Lopez, Barrio, Manuel Gertrudix   +3 more
core   +2 more sources

MULTIPLE IMPUTATION FOR ORDINARY COUNT DATA BY NORMAL DISTRIBUTION APPROXIMATION

Media Statistika, 2021
Missing values are a problem that is often encountered in various fields and must be addressed to obtain good statistical inference such as parameter estimation.
Titin Siswantining, Muhammad Ihsan, Saskya Mary Soemartojo, Devvi Sarwinda, Herley Shaori Al-Ash, Ika Marta Sari   +5 more
doaj   +1 more source

Approximate Normalizations for Approximate Density Functionals

Physical Review Letters
It seems self-evident that a density functional calculation should be normalized to the number of electrons in the system. We present multiple examples where the accuracy of the approximate energy is improved (sometimes greatly) by violating this basic principle.
Adam Clay, Kiril Datchev, Wenlan Miao, Adam Wasserman, Kimberly J. Daas, Kieron Burke   +5 more
openaire   +3 more sources