http://www.mat.univie.ac.at/~neum/stat.html

## Philosophy of Probability

Probability and Chance: Their Nature and Meaning ``... we define "chance" as the absence of predictive power and/or explanation and/or control.''

Probability Theory: The Logic of Science (by E.T. Jaynes)

## Guides

NIST/SEMATECH Engineering Statistics Internet Handbook
An online handbook with lots of information on concepts and methods of applied statistics

A Practical Guide to the Use of Selected Multivariate Statistics (by Mike Wulder)

Machine Learning, Neural and Statistical Classification (online copy of the book by Michie, Spiegelhalter and Taylor) and associated StatLog datasets

Pattern Recognition for the Human Computer Interface Design (by Richard O. Duda)

many links leading to lecture notes, java applets making statistics easier to understand, glossaries, statistics dictionaries and many more

## Software Libraries

Fatlab, fundamental algorithmic and statistical tools (in C++)

StatLib (Carnegie-Mellon University)

STARPAC Standards Time Series and Regression Package (free, general purpose statistical library)

XploRe free statistics software package

Statistical Data Sets (my own rather comprehensive list)

Statistics on the Web (by Clay Helmberg)

Statistical Software (links by Rainer Würländer)

A Guide to Statistical Computing Resources on the Internet (by Ken Varnum and John Weise)

Some Statistics Resources on the Web (by Greg Simmons)

## Data Fitting Software

Spatial Interpolation Comparison 97 (a contest of interpolation techniques)

Scattered Data Interpolation and Approximation using Radial Base Functions, multivariate (in Matlab)

A matlab toolkit for interpolating scattered data (kriging, natural neighbor, radial basis functions, etc.)

SUrrogate MOdeling (SUMO) Toolbox (in Matlab)

Radial Basis Function Networks (including subset selection)

DACE, Matlab Kriging Toolbox

TSFIT, C library for large-scale scattered data fitting

LibLip, interpolation of multivariate scattered data by piecewise linear functions (in C++)

ODRPACK (orthogonal distance regression)

tension spline curve-fitting package in Fortran77 (252K, by R. J. Renka)

Constrained two-dimensional Delauney triangulations in Fortran77 (189K, by R. J. Renka)

Scattered data fitting in Fortran77 (210K, by R. J. Renka)
uses constrained surface under tension

Sdm.net, splines for Data Mining (by Alexander Rozhenko)

TOMS/677 in Fortran77 (by Montefusco and Casciola)
interpolation of rapidly varying function values given at points irregularly distributed in the plane

linear regression under a least absolute value criterion in Fortran77 (by Armstrong, Beck and Kung)

Shape preserving piecewise quadratic interpolation in Fortran77 (by Mcallister and Roulier)

Solving linear equations in the L1 sense in Fortran77 (by Bartels and Conn)
with or without linear constraints

Parameter Estimation Software (by Klaus Schittkowski)

Spherekit: The Spatial Interpolation Toolkit (interpolation on the sphere)

AI-GEOSTATS, Spatial data analysis and Geoinformatic
A very useful source for 2D interpolation and approximation

Tables of Points on Spheres (by Neil Sloane)

Edgewarp, Thin-plane splines with edgels (by Bill Green and Fred L. Bookstein)

Subset regression programs (by Alan Miller)

Smoothing Software (Department of Biostatistics, Zurich)

## Classification Software

Statistical Pattern Recognition Toolbox for Matlab (by Vojtech Franc)

NETLAB, neural network software in Matlab

Bayes Net Toolbox (by Kevin Murphy)

AutoClass unsupervised Bayes Classifier in Lisp and C

OC1, Oblique Decision Tree Classifier in C (by Sreerama K. Murthy)
oc1.tar.Z (291K)

LMDT, Linear Machine Decision Trees (by Carla Brodley and Paul Utgoff)

SE-Learn, Set Enumeration (SE) trees (in Lisp, by Ron Rymon and Bob Schrag)

Pointers to: On-Line Software for Clustering and Multivariate Analysis (text only; no links)

ECOBWEB, hierarchical classification trees (in Common Lisp, by Yoram Reich)

CART, Classification And Regression Trees (commercial)

IND decision tree package (commercial)

MCLUST - Model-Based Clustering (S-plus software by Chris Fraley)

EDAPLUS, cluster analysis (.zip file)

Bayesian Network Repository (datasets)

## Mixture Modelling

AutoClass C, unsupervised Bayesian classification system

ML-Program-Library with public domain variants of programs like COBWEB, ID3, ...

## Density Estimation Software

Kernel density estimation toolbox for Matlab (in Matlab, by Alexander Ihler)

Smoothing, Functional Data Analysis, and Distance Weighted Discrimination Software (in Matlab, by Steve Marron)

ASH, Average Shifted Histogram (by David Scott)

statlib/S/logspline, smoothing spline density estimator (189K; in C, by Charles Kooperberg)

AS 176, kernel density estimation by FFT (in Fortran 77)

LOCFIT, Local Regression and Density Estimation (in C and S, by Clive Loader)

## Time Series Analysis

Kalman filter toolbox for Matlab

STARPAC Standards Time Series and Regression Package (free, general purpose statistical library)

## Longitudinal data (rudimentary)

Oswald, Object oriented SoftWare for the Analysis of Longitudinal Data in S-plus

## Experimental Designs (rudimentary)

Tables of Points on Spheres (by Neil Sloane)

Gosset - A General Purpose Program for Designing Experiments (by R. H. Hardin and N. J. A. Sloane)

OA, Victoria Chen's MATLAB routines that generate orthogonal arrays of strength three with index unity.

## Statistics Data

There is a separate file for my rather comprehensive list of Statistical Data Sets

## Bibliographies

Bibliography of `Pattern Recognition and Neural Networks' by B.D. Ripley

## Real-world Applications

Bibliography for Computational Probability and Statistics
(and Statistic Journals Websites)

## Some Conferences (rudimentary)

29th Symposium on the Interface: Computing Science and Statistics ``Mining and Modeling Massive Data Sets'' Rice University, May 14-17, 1997

NSF Workshop: Bumps, Jumps, Clustering, and Discrimination Texas Medical Center, Houston, TX, May 12-14, 1997

Learning Methods for Prediction, Classification Novelty Detection and Time Series Analysis, Cambridge, MA, September 20-21, 1996; Los Angeles, CA, December 14-15, 1996

## Important Sites

University of Florida Department of Statistics
with a list of Departments of Statistics throughout the world

Courses on Chance ``We do not intend for Chance to replace an introductory statistics or probability course; its aim is rather to encourage students to think more rationally about chance events and to make them more informed readers of the daily press. Of course, we do hope it will also encourage the students to continue their study of statistics and probability, either informally or in future courses. In our pilot versions, we have assumed only high school mathematics as a prerequisite.''

## Some People in Statistics

Brian Ripley Steve Marron

## Some Statistics Departments

University of Florida Department of Statistics

## Some Applications

Pattern Recognition at Delft

AI-GEOSTATS, Spatial data analysis and Geoinformatic
A very useful source for 2D interpolation and approximation

Surface Reconstruction from Unorganized Points (html, Ph.D. Thesis by Hugues Hoppe)

## Some of my Other Pages

Arnold Neumaier (Arnold.Neumaier@univie.ac.at)