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Proposer of the vote of thanks to Waudy-Smith and Ramdas and contribution to the Discussion of 'Estimating means of bounded random variables by betting'.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2024, v. 86, n. 1, p. 28, doi. 10.1093/jrsssb/qkad128
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Minimax Risk Classifiers with 0 -1 Loss.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Robust subgroup discovery: Discovering subgroup lists using MDL.
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- Data Mining & Knowledge Discovery, 2022, v. 36, n. 5, p. 1885, doi. 10.1007/s10618-022-00856-x
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Information extraction from free text for aiding transdiagnostic psychiatry: constructing NLP pipelines tailored to clinicians' needs.
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- BMC Psychiatry, 2022, v. 22, n. 1, p. 1, doi. 10.1186/s12888-022-04058-z
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The no-free-lunch theorems of supervised learning.
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- Synthese, 2021, v. 199, n. 3/4, p. 9979, doi. 10.1007/s11229-021-03233-1
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Optional Stopping with Bayes Factors: A Categorization and Extension of Folklore Results, with an Application to Invariant Situations.
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- Bayesian Analysis, 2021, v. 16, n. 3, p. 961, doi. 10.1214/20-BA1234
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Why optional stopping can be a problem for Bayesians.
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- Psychonomic Bulletin & Review, 2021, v. 28, n. 3, p. 795, doi. 10.3758/s13423-020-01803-x
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Peter D. Grünwald's contribution to the Discussion of 'Testing by betting: A strategy for statistical and scientific communication' by Glenn Shafer.
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- Journal of the Royal Statistical Society: Series A (Statistics in Society), 2021, v. 184, n. 2, p. 440, doi. 10.1111/rssa.12653
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Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes.
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- Journal of Machine Learning Research, 2020, v. 21, n. 48-77, p. 1
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Invited Discussion.
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- Bayesian Analysis, 2018, v. 13, n. 3, p. 957
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Objectively combining AR5 instrumental period and paleoclimate climate sensitivity evidence.
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- Climate Dynamics, 2018, v. 50, n. 5/6, p. 2199, doi. 10.1007/s00382-017-3744-4
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ALMOST THE BEST OF THREE WORLDS: RISK, CONSISTENCY AND OPTIONAL STOPPING FOR THE SWITCH CRITERION IN NESTED MODEL SELECTION.
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- Statistica Sinica, 2018, v. 28, n. 1, p. 229, doi. 10.5705/ss.202016.0011
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Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It.
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- Bayesian Analysis, 2017, v. 12, n. 4, p. 1069, doi. 10.1214/17-BA1085
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Follow the Leader If You Can, Hedge If You Must.
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- Journal of Machine Learning Research, 2014, v. 15, n. 4, p. 1281
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Catching up faster by switching sooner: a predictive approach to adaptive estimation with an application to the AIC-BIC dilemma.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2012, v. 74, n. 3, p. 361, doi. 10.1111/j.1467-9868.2011.01025.x
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Making Decisions Using Sets of Probabilities: Updating, Time Consistency, and Calibration.
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- Journal of Artificial Intelligence Research, 2011, v. 42, p. 393
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Entropy concentration and the empirical coding game.
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- Statistica Neerlandica, 2008, v. 62, n. 3, p. 374, doi. 10.1111/j.1467-9574.2008.00401.x
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Christopher S. Wallace Statistical and Inductive Inference by Minimum Message Length. Springer (2005). ISBN 038723795X. £46.00. 432 pp. Hardbound.
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- Computer Journal, 2007, v. 50, n. 3, p. 369, doi. 10.1093/comjnl/bxl027
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Suboptimal behavior of Bayes and MDL in classification under misspecification.
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- Machine Learning, 2007, v. 66, n. 2-3, p. 119, doi. 10.1007/s10994-007-0716-7
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