rreece.github.io

Philosophy of statistics

Statistics are way important.

Issues and positions

Problem of induction

Probability and uncertainty

Early investigators

Foundations of statistics

Statistical hypothesis testing

Point estimation and confidence intervals

Systematic uncertainties

Classification of measurement uncertainties ([philosophy-in-figures.tumblr.com](http://philosophy-in-figures.tumblr.com/post/150371555016/classification-of-measurement-uncertainties)).{#fig:systematic-uncertainties-sinervo}

P-value controversy

Machine learning

Implications for the realism debate

My thoughts

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Annotated bibliography

Mayo, D.G. (1996). Error and the Growth of Experimental Knowledge.

My thoughts


Cowan, G. (1998). Statistical Data Analysis.

My thoughts


James, F. (2006). Statistical Methods in Experimental Physics, 2nd Ed.

My thoughts


Cowan, G. et al. (2011). Asymptotic formulae for likelihood-based tests of new physics.

My thoughts


ATLAS Collaboration. (2012). Combined search for the Standard Model Higgs boson in $pp$ collisions at $\sqrt{s}$ = 7 TeV with the ATLAS detector.

My thoughts


Cranmer, K (2015). Practical statistics for the LHC.

My thoughts


SEP

IEP

Scholarpedia

Wikipedia

Others

  1. @Hume_2007_An_Enquiry_Concerning_Human_Understanding. 

  2. @Reichenbach_1938_Experience_and_Prediction and @Reichenbach_1940_On_the_justification_of_induction. [^Salmon1963]: @Salmon_1963_On_vindicating_induction\, @Salmon_1966_The_Foundations_of_Scientific_Inference\, @Salmon_1991_Hans_Reichenbachs_vindication_of_induction. [^Weintraub1995]: @Weintraub_1995_What_was_Humes_contribution_to_the_problem. 

  3. @Good_1988_The_interface_between_statistics_and_philosophy. 

  4. @Hacking_2001_An_Introduction_to_Probability_and_Inductive_Logic. 

  5. @Huber_2007_Confirmation_and_induction. 

  6. @Cowan_1998_Statistical_Data_Analysis and @Cowan_2016_Statistics.  2

  7. @Venn_1888_The_Logic_of_Chance 

  8. @Fisher_1912_On_an_absolute_criterion_for_fitting_frequency. 

  9. @Fisher_1915_Frequency_distribution_of_the_values. 

  10. @Berger_2003_Could_Fisher_Jeffreys_and_Neyman_have_agreed_on. 

  11. @Mayo_1996_Error_and_the_Growth_of_Experimental_Knowledge. 

  12. @Mayo_1981_In_defense_of_the_Neyman_Pearson_theory. 

  13. @Kendall_1946_The_Advanced_Theory_of_Statistics_VolII. 

  14. @James_2006_Statistical_Methods_in_Experimental_Particle. 

  15. @Cranmer_2015_Practical_statistics_for_the_LHC. 

  16. @Neyman_1933_On_the_problem_of_the_most_efficient_tests. 

  17. @Wilks_1938_The_large_sample_distribution_of_the_likelihood. 

  18. @Wald_1943_Tests_of_statistical_hypotheses_concerning_several. 

  19. @Sinervo_2002_Signal_significance_in_particle_physics and @Cowan_2012_Discovery_sensitivity_for_a_counting_experiment. 

  20. @Feldman_1998_A_unified_approach_to_the_classical_statistical. 

  21. @Aldrich_1997_RAFisher_and_the_making_of_maximum_likelihood. 

  22. @Frechet_1943_Sur_lextension_de_certaines_evaluations\, @Cramer_1946_A_contribution_to_the_theory_of_statistical\, @Rao_1945_Information_and_the_accuracy_attainable\, and @Rao_1947_Minimum_variance_and_the_estimation_of_several. [^Cowan2011]: @Cowan_2011_Asymptotic_formulae_for_likelihood_based_tests. 

  23. @Sinervo_2003_Definition_and_treatment_of_systematic. 

  24. @Wasserstein_2016_The_ASAs_statement_on_p_values_Context_process. 

  25. @Benjamin_2017_Redefine_statistical_significance. 

  26. @Hastie_2009_The_Elements_of_Statistical_Learning_Data_Mining. 

  27. @Leemis_2008_Univariate_distribution_relationships. 

  28. @Wasserman_2003_All_of_Statistics_A_Concise_Course_in_Statistical. 

  29. @Savage_1954_The_Foundations_of_Statistics.