An Iterative Rejection Sampling Method
نویسنده
چکیده
In the note we consider an iterative generalisation of the rejection sampling method. In high energy physics, this sampling is frequently used for event generation, i.e. preparation of phase space points distributed according to a matrix element squared |M |2 for a scattering process. In many realistic cases |M |2 is a complicated multi-dimensional function, so, the standard von Neumann procedure has quite low efficiency, even if an error reducing technique, like VEGAS, is applied. As a result of that, many of the |M |2 calculations go to “waste”. The considered iterative modification of the procedure can extract more “unweighted” events, i.e. distributed according to |M |2. In several simple examples we show practical benefits of the technique and obtain more events than the standard von Neumann method, without any extra calculations of |M |2.
منابع مشابه
An iterative Monte Carlo method for nonconjugate Bayesian analysis
The Gibbs sampler has been proposed as a general method for Bayesian calculation in Gelfand and Smith (1990). However, the predominance of experience to date resides in applications assuming conjugacy where implementation is reasonably straightforward. This paper describes a tailored approximate rejection method approach for implementation of the Gibbs sampler when nonconjugate structure is pre...
متن کاملAn Iterative Framework for the Improvement of Soft Clusters for Classificaction
This work introduces an iterative soft cluster refinement method that extensively uses soft cluster evaluation to determine which clusters would discriminate between classes in a classification scheme. This iterative refinement is part of the continuous iterative guided spectral class rejection (CIGSCR) classification method for remotely sensed images. Results indicate that CIGSCR produces good...
متن کاملIterative and Non-iterative Simulation Algorithms
The Gibbs sampler, Metropolis’ algorithm, and similar iterative simulation methods are related to rejection sampling and importance sampling, two methods which have been traditionally thought of as non-iterative. We explore connections between importance sampling, iterative simulation, and importance-weighted resampling (SIR), and present new algorithms that combine aspects of importance sampli...
متن کاملSeparation of speech signals using iterative multi-pitch analysis and prediction
A model for multi-pitch analysis is extended into an iterative multi-pitch analysis and prediction (IMPAP) scheme. The method is efficient in finding harmonic complex tones, such as voiced speech signals, in a mixture of such signals and possible noise background. It can also be used to separate the signal into perceptually relevant speech components. The method may be used in applications rang...
متن کاملBayesian inference for time series with heavy-tailed symmetric α-stable noise processes
In this paper we present both stochastic and deterministic iterative methods for inference about random processes with symmetric stable innovations. The proposed methods use a scale mixtures of normals (SMiN) representation of the symmetric stable law to express the processes in conditionally Gaussian form. This allows standard procedures for dealing with the Gaussian case to be re-used directl...
متن کامل