statsmaths.github.io

Taylor B. Arnold

Taylor B. Arnold. Department of Mathematics and Computer Science. Contact: taylor.arnold@acm.org. Course websites with lectures notes, code snippets, and links to problem sets and other materials. STAT 312/612: Linear Models. STAT 365/665: Data Mining and Machine Learning. MATH 209: Introduction to Statistical Modelling. Arnold, Taylor and Lauren Tilton. Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text. To Appear. [ link. Doi: [ 10.1080/10618600.2015.1043010. 653 (2011). do...

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Taylor B. Arnold | statsmaths.github.io Reviews

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Taylor B. Arnold. Department of Mathematics and Computer Science. Contact: taylor.arnold@acm.org. Course websites with lectures notes, code snippets, and links to problem sets and other materials. STAT 312/612: Linear Models. STAT 365/665: Data Mining and Machine Learning. MATH 209: Introduction to Statistical Modelling. Arnold, Taylor and Lauren Tilton. Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text. To Appear. [ link. Doi: [ 10.1080/10618600.2015.1043010. 653 (2011). do...

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1 university of richmond

2 assistant professor

3 full cv

4 download pdf

5 classes

6 publications

7 refereed publications

8 manuscripts in submission

9 conference proceedings

10 projects

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Taylor B. Arnold | statsmaths.github.io Reviews

https://statsmaths.github.io

Taylor B. Arnold. Department of Mathematics and Computer Science. Contact: taylor.arnold@acm.org. Course websites with lectures notes, code snippets, and links to problem sets and other materials. STAT 312/612: Linear Models. STAT 365/665: Data Mining and Machine Learning. MATH 209: Introduction to Statistical Modelling. Arnold, Taylor and Lauren Tilton. Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text. To Appear. [ link. Doi: [ 10.1080/10618600.2015.1043010. 653 (2011). do...

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Yale University STAT 365/665: Data Mining and Machine Learning

http://statsmaths.github.io/stat665

STAT 365/665: Data Mining and Machine Learning. Course Notes and Assignments. Monday, Wednesdays 14:30-15:45. Wednesdays, 16:00-17:00 (24 HH Classroom). Elena Khusainova, Yu Lu, Jason Klusowski. Tuesdays 13:00-15:00 (24 HH Basement); Wednesdays 19:00-20:30 (24 HH Classroom); Thursdays, 19:00-20:30 (24 HH Classroom). W N Venables, D. M. Smith and the R Core Team. An Introduction to R. Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie. The Elements of Statistical Learning. EoSL 3 and 4. EoSL 3 and 4.

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Yale University STAT 312/612: Linear Models

http://statsmaths.github.io/stat612

STAT 312/612: Linear Models. Course Notes and Assignments. Monday, Wednesdays 11:35 - 12:50. 60 Sachem Street (Watson Center), Rm A60. Wednesdays 13:30-15:00, Hillhouse 24, Rm 206. Tuesdays, 19:00-20:30, 24 Hillhouse, Main Classroom. Linear Transformations. [ video. Simple linear models: MLEs and Gauss-Markov. Jeffrey M. Stanton. "Galton, Pearson, and the Peas: A Brief History of Linear Regression for Statistics Instructors". [ article. Intro to Simple Linear Models. [ video. RT 28,2.10. FH 11,1.2. ASA 2...

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AT&T Labs - Statistics Research

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AT&T Labs - Statistics Research. Assistant Vice President, Big Data Research. Oversees the four departments under Big Data Research: Database Research, Data Mining, Information Visualization, and Statistics Research. Big Data Research focuses on large scale statistical analysis, visualization, and computation. Modeling graph and network data, social networks, text mining; Bayesian methodology; Bayesian model averaging; baseball analysis (saber metrics). Director, Statistics Research. Text mining, data pr...

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statsmaths.github.io

Taylor B. Arnold

Taylor B. Arnold. Department of Mathematics and Computer Science. Contact: taylor.arnold@acm.org. Course websites with lectures notes, code snippets, and links to problem sets and other materials. STAT 312/612: Linear Models. STAT 365/665: Data Mining and Machine Learning. MATH 209: Introduction to Statistical Modelling. Arnold, Taylor and Lauren Tilton. Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text. To Appear. [ link. Doi: [ 10.1080/10618600.2015.1043010. 653 (2011). do...

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