tsuomela + statistics   533

Storm -- A Modern Probabilistic Model Checker -- Home
"Storm is a tool for the analysis of systems involving random or probabilistic phenomena. Given an input model and a quantitative specification, it can determine whether the input model conforms to the specification. It has been designed with performance and modularity in mind. "
statistics  modeling 
november 2018 by tsuomela
Teaching Data for Statistics and Data Science • testDriveR
"The goal of testDriveR is to provide data sets for teaching statistics and data science courses. This package includes a sample of data from John Edmund Kerrich’s famous coinflip experiment. These are data that I use for teaching SOC 4015 / SOC 5050 at Saint Louis University. "
teaching  statistics  data-sources  r  package 
september 2018 by tsuomela
Topic Modeling in Python with NLTK and Gensim | DataScience+
"In this post, we will learn how to identify which topic is discussed in a document, called topic modeling. In particular, we will cover Latent Dirichlet Allocation (LDA): a widely used topic modelling technique. And we will apply LDA to convert set of research papers to a set of topics."
python  statistics  topic-modeling  digital-humanities  methods 
april 2018 by tsuomela
Big data: are we making a big mistake?
Very good description of the problems that big data claims to solve, but may not actually solve.
big-data  statistics  science 
march 2018 by tsuomela
All the fake data that's fit to print
charlatan is an R package for simulating / creating fake data
r  statistics  package  data  teaching 
june 2017 by tsuomela
Psychic Numbing and Genocide
"Most people are caring and will exert great effort to reserve "the one" whose needy plight comes to their attention. But these same people often become numbly indifferent to the plight of "the one" who is one of many in a much greater problem."
psychology  emotion  statistics  perception  genocide  tragedy 
june 2017 by tsuomela
Teaching Statistics: Resources for Undergraduate Instructors | Mathematical Association of America
"The title of the lead article in this volume, Teaching Statistics: More Data, Less Lecturing, summarizes succinctly the basic tenets of statistics educational reform of the past 10 to 15 years, tenets around which the statistics profession has formed a surprisingly strong and supportive consensus. This volume strives to be an instructors’ manual for this reform movement and will be essential reading for anyone at the undergraduate or secondary level who teaches statistics, especially for those new to the teaching of statistics. Behind this reform is the notion that statistics instruction should resemble statistical practice. Data lies at the heart of statistical practice and should thus form the center of instruction. Since most statistical practice involves issues of the collection, analysis, and interpretation of data, students should learn about and experience all three of these aspects continually in their learning. Teaching Statistics: Resources for Undergraduate Instructors presents a collection of class and original articles on various aspects of statistical education along with descriptions of innovation and successful projects. The volume provides complete descriptions of projects along with companion pieces written by teachers who have used the projects and can provide practical advice to readers on how to use projects effectively. Other sections include motivation for and advice on how to use real data in teaching, how to choose a textbook at the introductory or mathematical statistics level, how to make effective use of technology, and how to better assess students by going beyond the reliance on in-class examinations."
book  publisher  statistics  teaching  pedagogy 
may 2017 by tsuomela
CAUSEweb | Consortium for the Advancement of Undergraduate Statistics Education
"Consortium for the Advancement of Undergraduate Statistics Education A national organization whose mission is to support the advancement of undergraduate statistics education."
professional-association  statistics  teaching  pedagogy 
may 2017 by tsuomela
An Introduction to Spatial Data Analysis and Visualisation in R - CDRC Data
"This tutorial series is designed to provide an accessible introduction to techniques for handling, analysing and visualising spatial data in R. R is an open source software environment for statistical computing and graphics. It has a range of bespoke packages which provide additional functionality for handling spatial data and performing complex spatial analysis operations. The practical series uses open data which has been made readily available and demonstrates a range of techniques useful in social sciences including multivariate analysis, mapping and spatial interpolation. "
r  statistics  tutorial  geospatial  mapping  gis 
may 2017 by tsuomela
Book Memo: “Categorical Data Analysis by Example” | Data Analytics & R
"Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying R code This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large amount of prose. It is aimed at researchers with their own data ready to be analyzed and at students who would like an approachable alternative view of the subject. Each new topic in categorical data analysis is illustrated with an example that readers can apply to their own sets of data. In many cases, R code is given and excerpts from the resulting output are presented. In the context of log-linear models for cross-tabulations, two specialties of the house have been included: the use of cobweb diagrams to get visual information concerning significant interactions, and a procedure for detecting outlier category combinations."
book  recommendations  r  statistics  categories 
may 2017 by tsuomela
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