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W.O.M.B.A.T. | Stats + Short Stories Episode 324

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Manage episode 414555862 series 1228032
Content provided by Stats + Stories and The Stats + Stories Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stats + Stories and The Stats + Stories Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Would you be surprised if a wombat won a statistical achievement award? well our guest Noel Cressie is here to talk about the WOllongong Methodology for Bayesian Assimilation of Trace-gases and how it can impact the environmental landscape. Noel Cressie is Distinguished Professor at the University of Wollongong, Australia, and Director of its Centre for Environmental Informatics, which is a vibrant interdisciplinary group doing research in spatio-temporal statistics, satellite remote sensing, and broader fields of environmental science; he is also Adjunct Professor at the University of Missouri and Affiliate at NASA’s Jet Propulsion Laboratory in the USA. Noel grew up in Western Australia, received a PhD from Princeton University, and shared a career between the US and Australia. He is author and co-author of four books, three of them on spatial and spatio-temporal statistics, and of more than 300 peer-reviewed publications. His recent research involves hunting for atmospheric-carbon-dioxide sources around the world and focusing on Antarctica’s environmental future. He has won a number of awards, including the Fisher Award and Lectureship from the Committee of Presidents of Statistical Societies (COPSS), the Pitman Medal from the Statistical Society of Australia, the Barnett Award from the Royal Statistical Society, and the Matheron Award and Lecture from the International Association for Mathematical Geosciences. Noel is a Fellow of the Australian Academy of Science, of the Royal Society of New South Wales, and of a number of other learned societies.
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422 episodes

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Manage episode 414555862 series 1228032
Content provided by Stats + Stories and The Stats + Stories Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stats + Stories and The Stats + Stories Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Would you be surprised if a wombat won a statistical achievement award? well our guest Noel Cressie is here to talk about the WOllongong Methodology for Bayesian Assimilation of Trace-gases and how it can impact the environmental landscape. Noel Cressie is Distinguished Professor at the University of Wollongong, Australia, and Director of its Centre for Environmental Informatics, which is a vibrant interdisciplinary group doing research in spatio-temporal statistics, satellite remote sensing, and broader fields of environmental science; he is also Adjunct Professor at the University of Missouri and Affiliate at NASA’s Jet Propulsion Laboratory in the USA. Noel grew up in Western Australia, received a PhD from Princeton University, and shared a career between the US and Australia. He is author and co-author of four books, three of them on spatial and spatio-temporal statistics, and of more than 300 peer-reviewed publications. His recent research involves hunting for atmospheric-carbon-dioxide sources around the world and focusing on Antarctica’s environmental future. He has won a number of awards, including the Fisher Award and Lectureship from the Committee of Presidents of Statistical Societies (COPSS), the Pitman Medal from the Statistical Society of Australia, the Barnett Award from the Royal Statistical Society, and the Matheron Award and Lecture from the International Association for Mathematical Geosciences. Noel is a Fellow of the Australian Academy of Science, of the Royal Society of New South Wales, and of a number of other learned societies.
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422 episodes

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