Shane

6,162 reputation

63474

bio	website	statalgo.com
	location	New York, NY
	age	34
visits	member for	2 years, 10 months
	seen	Feb 5 at 11:23
stats	profile views	950

Quantitative researcher focusing on statistics and machine learning methods in finance. Primarily use R, C++, Python, various databases (including OneTick and KDB), and LaTeX on a daily basis.

Twitter: @statalgo
Blog: http://www.statalgo.com (largely inactive)
Former moderator on data analysis stack exchange site: http://stats.stackexchange.com/
Proposer of Quantitative Finance stack exchange site: http://area51.stackexchange.com/proposals/117/quantitative-finance?referrer=EZoOPpokWeo1

	6,162 reputation	bio	website	statalgo.com	visits	member for	2 years, 10 months
63474 badges		location	New York, NY		seen	Feb 5 at 11:23

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100 Answers

votes activity newest

59	What is your favorite “data analysis” cartoon?
30	What is your favorite “data analysis” cartoon?
24	Good GUI for R suitable for a beginner wanting to learn programming in R?
21	What R packages do you find most useful in your daily work?
20	Best way to present a random forest in a publication?

6,162 Reputation

+10	Best way to present a random forest in a publication?
+10	Time series 'clustering' in R
+10	Tools for modeling financial time series
+10	Clojure versus R: advantages and disadvantages for data analysis

17 Questions

votes activity newest

103	What is your favorite “data analysis” cartoon?
103	The Two Cultures: statistics vs. machine learning?
46	What is the best introductory Bayesian statistics textbook?
25	What is your favorite data visualization blog?
22	Cross-Validation in plain english?

109 Tags

155 r × 28	27 software × 4
97 time-series × 17	26 finance × 5
90 data-visualization × 18	24 clustering × 3
40 machine-learning × 11	22 modeling × 8
31 classification × 4	20 microarray

18 Accounts

Stack Overflow	32,056 rep	584133
Cross Validated	6,162 rep	63474
Quantitative Finance	5,098 rep	12444
Area 51	4,449 rep	2227
Theoretical Computer Science	900 rep	31021

42 Badges

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Famous Question × 3	Pundit
Popular Question × 9	Custodian
Nice Answer × 28	Notable Question × 4

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