Introduction to R Introduction to R Course Topics R is a free computing and graphical software/environment for statistical analysis. This short course consists of 3 sections: Section 1 provides ...

STAT-310 Introduction to Data Science for the Social Sciences STAT-311 Data Science Laboratory for the Social Sciences STAT-340 Introduction to Statistical Computing and Exploratory Data Analysis STAT ...

Course TopicsThe first of the Spring 2010 LISA Short Courses was “An Introduction to Statistical Analysis,” by Dr. Eric Vance, the director of LISA (Laboratory for Interdisciplinary Statistical ...

Deborah Nolan, Duncan Temple Lang, Computing in the Statistics Curricula, The American Statistician, Vol. 64, No. 2 (MAY 2010), pp. 97-107 ...

An introduction to the use of numerical linear algebra, optimisation, numerical integration and simulation in statistical computation, with their applications in statistical methods, including least ...

An introduction to the use of numerical linear algebra, optimisation, numerical integration and simulation in statistical computation, followed by their applications in statistical methods, including ...

COURSES TAUGHT: Theory of Statistics I and II, Categorical Data Analysis, Nonparametric Statistics, Sample Survey Methods, Statistical Methods, Forensic Statistics, Introduction to Statistical ...

A new HPC textbook by Victor Eijkhout, Introduction to High Performance Scientific Computing, is now available as a free download. The need for a book - Read more from Inside HPC & AI News.

This article forecasts the path of statistical computing in the next decade. Its premise is that technology will influence statistical computing more than other factors. This forecast is based on ...

Courses Taught BST 3000: Introduction to Statistical Computing; BST 5030: Statistical Programming and Study Planning: SAS; BST 5100: Introduction to General Linear Modeling; PUBH 5010: Mission and ...