Tim Hesterberg

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Tim Hesterberg is an American statistician. He is a Fellow of the American Statistical Association and currently works as a staff data scientist at Instacart.

Contents

Education and career

Tim Hesterberg graduated with a B.A in mathematics from St. Olaf College and received his Ph.D. in statistics from Stanford University. [1] He is a member of the National Institute of Statistical Sciences(NISS) and was previously on the NISS Board of Trustees. He is currently on the board of the Canadian Statistical Sciences Institute. [1] Hesterberg previously worked as a senior statistician at Google as well as at Franklin and Marshall College, Pacific Gas & Electric Co, and Insightful/MathSoft. [1] He is currently a senior statistician at Instacart.

Research

Hesterberg has contributed to statistical research by writing a textbook, articles, and a software package:

References

  1. 1 2 3 "Tim Hesterberg". National Institute of Statistical Sciences. 2012-12-17. Retrieved 2021-11-04.
  2. "Mathematical Statistics with Resampling and R, 2nd Edition". Wiley. Retrieved 2021-11-04.
  3. Hesterberg, Tim C. (2015-10-02). "What Teachers Should Know About the Bootstrap: Resampling in the Undergraduate Statistics Curriculum". The American Statistician. 69 (4): 371–386. doi:10.1080/00031305.2015.1089789. ISSN   0003-1305. PMC   4784504 . PMID   27019512.
  4. 1 2 Hesterberg, Tim (2015-04-12), resample: Resampling Functions , retrieved 2021-11-04
  5. Hesterberg, Tim (2008-09-19), "Bootstrap" , in D'Agostino, Ralph B.; Sullivan, Lisa; Massaro, Joseph (eds.), Wiley Encyclopedia of Clinical Trials, Hoboken, NJ: John Wiley & Sons, Inc., pp. 1–33, doi:10.1002/9780471462422.eoct392, ISBN   978-0-471-46242-2 , retrieved 2021-11-05
  6. Hesterberg, Tim; Choi, Nam Hee; Meier, Lukas; Fraley, Chris (2008-01-01). "Least angle and ℓ1 penalized regression: A review". Statistics Surveys. 2 (none). arXiv: 0802.0964 . doi: 10.1214/08-SS035 . ISSN   1935-7516. S2CID   13967045.
  7. Fraley, Chris; Hesterberg, Tim (March 2009). "Least Angle Regression and LASSO for Large Datasets" . Statistical Analysis and Data Mining. 1 (4): 251–259. doi:10.1002/sam.10021. S2CID   14050406.