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A question previously sought recommendations for textbooks on mathematical statistics

Does anyone know of any good online video lectures on mathematical statistics? The closest that I've found are:

UPDATE: A number of the suggestions mentioned below are good statistics-101 type videos. However, I'm specifically wondering whether there are any videos that provide a rigorous mathematical presentation of statistics. i.e., videos that might accompany a course that use a textbook mentioned in this discussion on mathoverflow

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Check out the following links. I'm not sure what exactly are you looking for.

Monte Carlo Simulation for Statistical Inference

Kernel methods and Support Vector Machines

Introduction to Support Vector Machines

Monte Carlo Simulations

Free Science and Video Lectures Online!

Video lectures on Machine Learning

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  • $\begingroup$ I hadn't seen these ones before. They look good. $\endgroup$
    – Jeromy Anglim
    Commented Jul 27, 2010 at 9:40
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The folks at SLAC put videos of their lecture series online. Given that their audience is mostly physicists, they tend to be fairly mathematical.

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  • $\begingroup$ Yes, I now remember looking at one or two of these videos a few years back. They are quite mathematical. $\endgroup$
    – Jeromy Anglim
    Commented Aug 9, 2010 at 6:33
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See Videos on data analysis using R on Jeromy Anglim's blog. There are many links at that page and he updates it. He has another post with many links to videos on probability and statistics as well as linear algebra and calculus.

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This site from Ecole normal Supérieure de Paris contains a lot of very interesting video

I greatly encourage you to visit this site !!

Among other you will find there all video presentation from the conference "Mathematical Foundations of Learning Theory" that held in 2006.

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There is one called Math and probability for life sciences, but I haven't followed it so I can't tell you if its good or not.

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    $\begingroup$ I have watched all of those videos. It's a very good introduction to probability and counting. $\endgroup$
    – Yorgos
    Commented Jul 27, 2010 at 6:12
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There is a new resources forming these days for talks about R:

https://www.r-bloggers.com/RUG/

Compiled by the organizers of "R Users Groups" around the world (right now, mainly around the States).

It is a new project (just a few weeks old), but already got good content on it, and good people wanting to take part in it. alt text
(source: r-bloggers.com)

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Many of the Berkeley introductory statistics courses are available online (and on iTunes). Here's an example: Stats 2. You can find more here$^\dagger$.

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$\dagger$ link dead.

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I do not know at what level you want the videos to be but I have heard good things about Khan's Academy: http://www.khanacademy.org/#Statistics https://www.khanacademy.org/math/statistics-probability

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There are a bunch of helpful video tutorials on basic statistics & data mining with R and Weka at SentimentMining.net.

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$\dagger$ link dead; archived link

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    $\begingroup$ Besides that fact that the former link wasn't really related to mathematical statistics, the latter one is neither: "Data Mining with STATISTICA Video Series" - youtube.com/user/StatSoft#g/c/B804A810436AFB03 $\endgroup$
    – fbahr
    Commented Sep 23, 2010 at 14:00
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I found the 'Probability Primer' Lectures very useful and informative :

A series of videos giving an introduction to some of the basic definitions, notation, and concepts one would encounter in a 1st year graduate probability course.

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There is a series of Google Tech Talk videos called Stats 202 - Statistical Aspects of Data Mining$^\dagger$

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$\dagger$ Link dead; YouTube video link.

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UCCS mathematics video archive$^\dagger$ has archived videos from a range of courses in mathematics. Several subjects called Mathematical Statistics I and Mathematical Statistics II are available. The main site requires a free registration to access.

Slightly more accessible are the videos for a subset of the courses on the UCCS MathOnline YouTube page. Two instances of this are as follows. The lecture style often involves Dr. Morrow working through problems on the whiteboard.

Linear Models

Taught by Dr. Greg Morrow, Math 483 from UCCS. Methods and results of linear algebra are developed to formulate and study a fundamental and widely applied area of statistics. Topics include generalized inverses, multivariate normal distribution and the general linear model. Applications focus on model building, design models, and computing methods. The Statistical Analysis System (software) is introduced as a tool for doing computations.

Course info$^{\dagger\dagger}$: Seems to use Introduction to Linear Regression by Montgomery, Peck, and Vining.

Mathematical Statistics 1

Greg Morrow's Math 481 course from Math Online at the University of Colorado in Colorado Springs Course Description: Exponential, Beta, Gamma, Student, Fisher and Chi-square distributions are covered in this course, along with joint and conditional distributions, moment generating techniques, transformations of random variables and vectors.

  • Course info
  • Syllabus from one year
  • Mathematical Statistics and Data Analysis, 3rd ed., by John A. Rice.

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$\dagger$ archived link ; new (not exact) link.

$\dagger\dagger$ link dead; not archived.

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MIT Open Courseware Discrete Stochastic Processes

Discrete stochastic processes are essentially probabilistic systems that evolve in time via random changes occurring at discrete fixed or random intervals. This course aims to help students acquire both the mathematical principles and the intuition necessary to create, analyze, and understand insightful models for a broad range of these processes. The range of areas for which discrete stochastic-process models are useful is constantly expanding, and includes many applications in engineering, physics, biology, operations research and finance.

The course includes videos, practice questions, slides, and an extensive set of notes.

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    $\begingroup$ I am currently watching linear algebra lessons from MIT open-courseware when I get a chance. Also differential equations are on my to-do list. Although neither are directly related to statistics, but each has obvious extensions to a variety of statistical analysis. $\endgroup$
    – Andy W
    Commented Aug 21, 2012 at 1:49
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Opinionated Lessons in Statistics

http://wiki.opinionatedlessons.org/coursewiki/index.php/OpinionatedLessons.org/

New link.

Around 50 videos on statistics by Professor William H. Press of the University of Texas at Austin. Each video is around 10 to 30 minutes long. A number of more advanced topics are coverd such as mixture models, EM methods, MCMC, PCA, and more.

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  • $\begingroup$ +1. Press is a co-author of Numerical Recipes, a book on numerical methods that is written with exceptional clarity and insight. I would gravitate towards Press' lectures hoping for information about the underlying numerical techniques, their uses, and their limitations and pitfalls. $\endgroup$
    – whuber ♦
    Commented Apr 8 at 14:04
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I just came across this website, CensusAtSchool -- Informal inference. Maybe worth looking at the videos and handouts...

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An introductory set of statistics lectures with a voice over a slide presentation.

http://www.online.math.uh.edu/Math2311/index.htm

The lecture series is elementary, but I like how the lecturer communicates clearly and shows how to speak the formulas encountered in statistics.

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Years ago the ASA video taped workshop /short courses on special topics such as time series and survival analysis and categorical data analysis. They were available for chapters to rent. You might check to see what they have. Short courses at the jSM were occasionally video taped. I don't know if general math stat courses are available.

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Bookmark http://www.edxonline.org https://www.edx.org/ ; it's bound to have all the math videos you could wish for. I believe they are hoping to launch this fall.

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