Peter McCullagh is affiliated with the University of Chicago in the United States. Their research spans multiple fields, including Mathematics, Computer Science, and Environmental Science. Within these disciplines, they have focused extensively on subfields such as Statistics and Probability, Artificial Intelligence, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, and Ecology.
In terms of research topics, their work covers areas such as Statistical Methods and Inference, Bayesian Methods and Mixture Models, Statistical Methods and Bayesian Inference, Advanced Statistical Methods and Models, Ecology and Vegetation Dynamics Studies, Plant and Animal Studies, and Statistical Methods in Clinical Trials.
Peter McCullagh has contributed to several academic publications and has had papers published in a variety of scientific venues. Frequent publication outlets include:
Their recent papers include:
They frequently collaborate with other researchers, with common co-authors including Daniel Xiang, Micol Federica Tresoldi, Heather Battey, Shogo Kato, and Poly H. da Silva.
Peter McCullagh has also published a book titled Ten Projects in Applied Statistics in 2022, under Springer Science+Business Media.
The scientist has been recognized with various honors, including:
Peter McCullagh;John Ashworth Nelder
Peter McCullagh;John A. Nelder
Peter McCullagh
John H. Schuenemeyer;P. McCullagh;J. A. Nelder
Peter McCullagh
Peter McCullagh
Gauss M. Cordeiro;Peter McCullagh
G. F. V. Glonek;P. McCullagh
Peter McCullagh;R. J. Baker;J. A. Nelder
Zhenming Shun;Peter McCullagh
Peter McCullagh
Peter McCullagh;Robert Tibshirani
P. Mccullagh
Cox Dr;McCullagh P
P. McCullagh;J. A. Nelder
Peter McCullagh;Jie Yang
Peter McCullagh
A. Kong;P. McCullagh;X.-L. Meng;D. Nicolae
Peter McCullagh
Kung-Yee Liang;Peter McCullagh
Peter McCullagh
Peter McCullagh
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