Larry Wasserman is affiliated with Carnegie Mellon University in the United States. Their primary field of study is mathematics, with a particular focus on statistics and probability. The scope of their work spans several subfields including statistics and probability, artificial intelligence, modeling and simulation, epidemiology, and uncertainty in statistics and probability.
Wasserman's research addresses a wide range of topics within statistical methods and inference. Key topics include:
They have published extensively in several notable academic venues. Frequent publication venues include:
Recent papers by Wasserman include:
Wasserman has collaborated frequently with several co-authors, including:
The scientist has been recognized with multiple awards throughout their career. These include:
Thomas J. Diciccio;Robert E. Kass;Adrian Raftery;Larry Wasserman
Larry Wasserman
Robert E. Kass;Larry Wasserman
Larry Wasserman
Robert E. Kass;Larry Wasserman
Larry Wasserman
Han Liu;John Lafferty;Larry Wasserman
Pradeep Ravikumar;John Lafferty;Han Liu;Larry Wasserman
Larry Wasserman;Kathryn Roeder
James O. Berger;Elías Moreno;Luis Raul Pericchi;M. Jesús Bayarri
Jing Lei;Max G'Sell;Alessandro Rinaldo;Ryan J. Tibshirani
Christopher Genovese;Larry Wasserman
Kathryn Roeder;Larry Wasserman
Isabella Verdinelli;Larry Wasserman
B Devlin;Kathryn Roeder;Larry Wasserman
Han Liu;Fang Han;Ming Yuan;John D. Lafferty
Larry Wasserman
Larry Wasserman
Christopher Genovese;Larry Wasserman
Tuo Zhao;Han Liu;Kathryn Roeder;John Lafferty
Andrew Barron;Mark J. Schervish;Larry Wasserman
S. Richardson;P. J. Green;C. P. Robert;M. Aitkin
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