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» Optimal Monte Carlo Algorithms
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KDD
2004
ACM
170views Data Mining» more  KDD 2004»
14 years 1 months ago
Estimating the size of the telephone universe: a Bayesian Mark-recapture approach
Mark-recapture models have for many years been used to estimate the unknown sizes of animal and bird populations. In this article we adapt a finite mixture mark-recapture model i...
David Poole
WAA
2001
Springer
14 years 5 days ago
Integration of Multivariate Haar Wavelet Series
This article considers the error of integrating multivariate Haar wavelet series by quasi-Monte Carlo rules using scrambled digital nets. Both the worst-case and random-case errors...
Stefan Heinrich, Fred J. Hickernell, Rong-Xian Yue
IEAAIE
1998
Springer
13 years 12 months ago
State Estimation for Nonlinear Systems Using Restricted Genetic Optimization
Abstract. In this paper we describe a new nonlinear estimator for filtering systems with nonlinear process and observation models, based on the optimization with RGO (Restricted Ge...
Santiago Garrido, Luis Moreno, Carlos Balaguer
IFIP
2004
Springer
14 years 1 months ago
A Randomised Algorithm for Checking the Normality of Cryptographic Boolean Functions
Abstract A Boolean function is called normal if it is constant on flats of certain dimensions. This property is relevant for the construction and analysis of cryptosystems. This p...
An Braeken, Christopher Wolf, Bart Preneel
CSDA
2010
118views more  CSDA 2010»
13 years 7 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Matti Vihola