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Simulation and Inference for Stochastic Processes with YUIMA
Contains both theory and code with step-by-step examples and figures. Uses YUIMA package to implement the latest techniques available in the literature of inference for stochastic processes. Shows how to create the description of very abstract models in…
YSS2019: Computational and Statistical Methods for Stochastic Process
The first YUIMA Summer School on Computational and Statistical Methods for Stochastic Process This 4 days course aims at introducing researchers, PhD students and practitioners to several aspects of numerical and statistical analysis of time series…
The YUIMA Project: A Computational Framework for Simulation and Inference of Stochastic Differential Equations
Abstract. The YUIMA Project is an open source and collaborative effort aimed at developing the R package yuima for simulation and inference of stochastic differential equations. In the yuima package stochastic differential equations can be of very…
Seminar: Latest Development in yuimaGUI
Venue. University of Tokyo, Graduate School of Math. Sci. Bldg., Room #052 Date&Time. 23 May 2018, 13:00 - 14:10 Abstract. The yuimaGUI package provides a user-friendly interface for the yuima package, including additional tools related to…
8th MilanoR Meeting
MilanoR is a user group dedicated to bring together local users of the popular open source language R. Our aim is to exchange knowledge, learn and share tricks and techniques and provide R beginners with an opportunity to meet more experienced users. We…