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A Beamer Quickstart

A Beamer Quickstart
by
Rouben Rostamian
December 2004

Residue Theorem and Its Application

See Wikipedia, http://en.wikipedia.org/wiki/Residue_theorem
The residue theorem and its applications by Oliver Knill:
http://www.math.harvard.edu/~knill/teaching/residues_1996/residue.pdf

STATISTICS: REFLECTIONS ON THE PAST AND VISIONS FOR THE FUTURE

STATISTICS: REFLECTIONS ON THE PAST AND VISIONS FOR THE FUTURE
Author: C. Radhakrishna Rao a
Affiliation:
a Pennsylvania State University, PA, U.S.A.
DOI: 10.1081/STA-100107683
Publication Frequency: 20 issues per year
Published in: Communications in Statistics - Theory and Methods, Volume 30, Issue 11 November 2001 , pages 2235 - 2257
Formats available: HTML (English) : PDF (English)

Multivariate t-distribution

See Wikipedia

Central Limit Theorem

Papers on Central Limit Theorem on Project Euclid

Law of Large Numbers

Papers on Law of Large Numbers on ProjectEuclid.

Bootstrap: Collection in Statistical Sicence (2003)

Statistical Science
A Review Journal of The Institute of Mathematical Statistics.
Volume 18, Issue 2
Publication Date: May 2003

On readings R. A. Fisher

On Reading R.A. Fisher,
By Leonard J. Savage
Annals of Statistics, 1976, Vol 4, No 3, 441-500

Boosting

''Boosting is a general method of producing a very accurate prediction rule by combining rough and moderately inaccurate "rules of thumb." Much recent work has been on the "AdaBoost" boosting algorithm and its extensions. ''
Click the above link to see references.

Bayesian Econometrics Methods

Bayesian Econometric Methods
By Koop, Poirier and Tobias, 2007

Markov Chain Monte Carlo (1)

Understanding the Metropolis-Hastings Algorithm
Author(s): Siddhartha Chib and Edward Greenberg
Source: The American Statistician, Vol. 49, No. 4 (Nov., 1995), pp. 327-335
Published by: American Statistical Association
Stable URL: http://www.jstor.org/stable/2684568

Explaining the Gibbs Sampler
George Casella; Edward I. George
The American Statistician, Vol. 46, No. 3. (Aug., 1992), pp. 167-174.Stable URL:http://links.jstor.org/sici?sici=0003-1305%28199208%2946%3A3%3C167%3AETGS%3E2.0.CO%3B2-R