Steve Portnoy’s Home Page vit 
Professor
Full Vita View in PDF:
Research Interests
Professor Portnoy works in the areas of robust statistics, asymptotic theory, and statistical application. He is a leader in the development of regression quantile methods, and has collaborated on applying statistical analysis to biological problems as an Adjunct Professor of Ecology.
Some Recent papers (preprint form):
Linearity of Unbiased Linear Model Estimators, The American Statistician, 76:4} , 372-375, 2022
Canonical quantile regression, J. Multivar. Anal., 192, 105071, 2022
(with Moshe Rachmuth and Jacob L. Wright) Behold-Na, Statistics is an Effective Tool, Use It-Na,
Journal of Semitic Studies, 67},441-469, 2022
The Two-Envelope Problem for General Distributions, J. Stat Theory and Practice,14 #21, 2020
2envR1
Invariance, Optimality and a 1-Observation Confidence Interval for a Normal Mean: The Amer Statistician, 73, 10:15, 2019
rev3
Edgeworth’s Time Series Model: Not AR(1) But Same Covariance Structure: J Econometrics, 213, 281-288, 2019
edgeR1
R programs for censored regression quantiles (non-commercial use only):
The methodology for censored regression quantiles on which these programs are based is described in the following: S. Portnoy (2003), Censored Regression Quantiles, J. Amer. Statist. Assoc. , 1001 – 1012; and Tableman and Kim (2004), Survival Analysis Using S, Chapter 8, Chapman-Hall/CRC.
Software available in the R-package “quantreg” Click Here
For slides: Intro to Regression Quantiles View in PDF
Copper Canyon, October 2013
Australia Alpine Region:
lunch break at Albina Lake with helen and Raoul
summit circuit trail: 22.5 K, 700 m climb, 7 hours
Koala at Tidbinbilla Nature Park, Canberra ; Puffins, Iceland
Last Updated March, 2016