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in 2023, "for contributions to statistical theory and applied probability, in particular for work on new approaches to well-calibrated high-dimensional and conditional inference, and for work on development of the theoretical foundations of statistical inference".
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is a
British statistician whose interests include population-level sparsity and the theoretical foundations of inference in the presence of a large number of nuisance parameters. She is a reader in mathematics at
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in 2011. After postdoctoral research as a Brunel Fellow in
Statistics at the
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Fellows of the
Institute of Mathematical Statistics
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131:, Institute of Mathematical Statistics
106:EPSRC Mathematical Sciences Fellowship
170:Alumni of the University of Cambridge
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175:Academics of Imperial College London
57:Institute of Mathematical Statistics
55:Battey was named as a Fellow of the
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35:Battey completed a PhD at the
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43:and as a research fellow at
165:British women statisticians
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128:2023 IMS Fellows Announced
37:University of Cambridge
25:Imperial College London
160:British statisticians
41:University of Bristol
45:Princeton University
31:Education and career
16:British statistician
87:, Imperial College
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84:Heather Battey
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20:Heather Battey
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51:Recognition
149:Categories
135:2023-09-22
113:2023-10-21
91:2023-09-22
64:References
109:, EPSRC
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72:^
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