Add to ORKGThis paper describes the difficult concepts of convergence in probability, almost sure convergence, convergence in law and in r-th mean using a visual-minded and a graphical simulation-based approach. For this purpose, each probability of events is approximated by a frequency. An R package is available on CRAN which reproduces all the experiments done in this paper
This article attempts to introduce the reader to computational thinking and solving problems involvi...
This article attempts to introduce the reader to computational thinking and solving problems involvi...
Computational techniques based on simulation have now become an essential part of the statistician's...
International audienceThis article describes the difficult concepts of convergence in probability, c...
Abstract: ConvergenceConcepts is an R pack-age, built upon the tkrplot, tcltk and lattice packages, ...
We generalise the method proposed by Gelman and Rubin (1992a) for monitoring the convergence of iter...
In this dissertation, I explore challenges that simulation researchers face. First, I argue that com...
summary:In this paper the ideas of three types of statistical convergence of a sequence of random va...
summary:In this paper the ideas of three types of statistical convergence of a sequence of random va...
Solutions des exercices proposés dans cet ouvrage librement accessibles à http://fr.arxiv.org/abs/10...
: In this paper, we discuss some recent results and open questions concerning monitoring convergenc...
Stochastic convergence, law of large numbers and central limit theorem is an important part of proba...
A. Example learning trajectories in weight space. For an example plasticity rule (square) operating ...
International audienceCe travail tente d'éclairer l'intuition sous-jacente à la convergence de suite...
In this video, Associate Professor Gabriel explores convergence and how it can be assessed when esti...
This article attempts to introduce the reader to computational thinking and solving problems involvi...
This article attempts to introduce the reader to computational thinking and solving problems involvi...
Computational techniques based on simulation have now become an essential part of the statistician's...
International audienceThis article describes the difficult concepts of convergence in probability, c...
Abstract: ConvergenceConcepts is an R pack-age, built upon the tkrplot, tcltk and lattice packages, ...
We generalise the method proposed by Gelman and Rubin (1992a) for monitoring the convergence of iter...
In this dissertation, I explore challenges that simulation researchers face. First, I argue that com...
summary:In this paper the ideas of three types of statistical convergence of a sequence of random va...
summary:In this paper the ideas of three types of statistical convergence of a sequence of random va...
Solutions des exercices proposés dans cet ouvrage librement accessibles à http://fr.arxiv.org/abs/10...
: In this paper, we discuss some recent results and open questions concerning monitoring convergenc...
Stochastic convergence, law of large numbers and central limit theorem is an important part of proba...
A. Example learning trajectories in weight space. For an example plasticity rule (square) operating ...
International audienceCe travail tente d'éclairer l'intuition sous-jacente à la convergence de suite...
In this video, Associate Professor Gabriel explores convergence and how it can be assessed when esti...
This article attempts to introduce the reader to computational thinking and solving problems involvi...
This article attempts to introduce the reader to computational thinking and solving problems involvi...
Computational techniques based on simulation have now become an essential part of the statistician's...