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 t...
Likelihood-free methods, such as approximate Bayesian computation, are powerful tools for practical ...
We discuss several algorithms for sampling from unnormalized probability distributions in statistica...
Distributions of inelastically scattered neutrons can be quantum dynamically described by a scatteri...
We present a method for Monte Carlo sampling on systems with discrete variables (focusing in the Isi...
The Markov chain Monte Carlo method is an important tool to estimate the average properties of syste...
AbstractThe rejection sampling method is one of the most popular methods used in Monte Carlo methods...
In some Monte Carlo radiation transport calculations one must sample a random variable which is desc...
A Monte Carlo method to sample the classical configurational canonical ensemble is introduced. In co...
URL to conference proceedings pageWe introduce _adaptive sequential rejection sampling_, an algorith...
We present a data augmentation scheme to perform Markov chain Monte Carlo inference for models where...
International audienceWe propose a new algorithm for sampling the N-body density mid R:Psi(R)mid R:(...
We develop an algorithm, based on the acceptance-rejection method, with a simple envelope rejection ...
International audienceStatistical researchers have shown increasing interest in generating truncated...
International audienceStatistical researchers have shown increased interest in generating of truncat...
We present an overview of sampling techniques in molecular dynamics. We start with phase-space sampl...
Likelihood-free methods, such as approximate Bayesian computation, are powerful tools for practical ...
We discuss several algorithms for sampling from unnormalized probability distributions in statistica...
Distributions of inelastically scattered neutrons can be quantum dynamically described by a scatteri...
We present a method for Monte Carlo sampling on systems with discrete variables (focusing in the Isi...
The Markov chain Monte Carlo method is an important tool to estimate the average properties of syste...
AbstractThe rejection sampling method is one of the most popular methods used in Monte Carlo methods...
In some Monte Carlo radiation transport calculations one must sample a random variable which is desc...
A Monte Carlo method to sample the classical configurational canonical ensemble is introduced. In co...
URL to conference proceedings pageWe introduce _adaptive sequential rejection sampling_, an algorith...
We present a data augmentation scheme to perform Markov chain Monte Carlo inference for models where...
International audienceWe propose a new algorithm for sampling the N-body density mid R:Psi(R)mid R:(...
We develop an algorithm, based on the acceptance-rejection method, with a simple envelope rejection ...
International audienceStatistical researchers have shown increasing interest in generating truncated...
International audienceStatistical researchers have shown increased interest in generating of truncat...
We present an overview of sampling techniques in molecular dynamics. We start with phase-space sampl...
Likelihood-free methods, such as approximate Bayesian computation, are powerful tools for practical ...
We discuss several algorithms for sampling from unnormalized probability distributions in statistica...
Distributions of inelastically scattered neutrons can be quantum dynamically described by a scatteri...