|
gptkbp:instance_of
|
gptkb:Person
|
|
gptkbp:affiliation
|
gptkb:Stanford_University
|
|
gptkbp:author
|
gptkb:Jerome_Friedman
gptkb:Trevor_Hastie
|
|
gptkbp:award
|
gptkb:R._A._Fisher_Award
gptkb:John_von_Neumann_Theory_Prize
gptkb:COPSS_Presidents'_Award
|
|
gptkbp:birth_year
|
1951
|
|
gptkbp:contribution
|
Advocacy for data-driven decision making
Collaboration with interdisciplinary teams
Development of statistical software
Influence on statistical education
Promotion of statistical literacy
Research in predictive modeling
Advancements in statistical learning theory
Applications of statistics in finance
Applications of statistics in genomics
Applications of statistics in medicine
Applications of statistics in social sciences
Development of the Lasso method
Publications in statistical journals
Teaching and mentoring in statistics
|
|
gptkbp:field
|
gptkb:machine_learning
Statistics
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Robert Tibshirani
|
|
gptkbp:influenced_by
|
gptkb:Leo_Breiman
gptkb:John_Tukey
gptkb:David_Cox
gptkb:Bradley_Efron
gptkb:Jerome_Friedman
gptkb:Peter_Buhlmann
gptkb:George_Box
gptkb:Trevor_Hastie
|
|
gptkbp:known_for
|
Lasso regression
Statistical learning
|
|
gptkbp:nationality
|
gptkb:Canadian
|
|
gptkbp:notable_work
|
gptkb:The_Elements_of_Statistical_Learning
An Introduction to Statistical Learning
|
|
gptkbp:profession
|
gptkb:Statistician
gptkb:Professor
|
|
gptkbp:research_interest
|
Biostatistics
Data mining
High-dimensional statistics
|
|
gptkbp:bfsParent
|
gptkb:The_Elements_of_Statistical_Learning
gptkb:Wilks_Memorial_Award
|
|
gptkbp:bfsLayer
|
5
|