Past, present, and future of statistical science / / edited by Xihong Lin, Christian Genest, David L. Banks, Geert Molenberghs, David W. Scott, and Jane-Ling Wang |
Pubbl/distr/stampa | Boca Raton : , : CRC Press, , [2014] |
Descrizione fisica | 1 online resource (648 p.) |
Disciplina | 519.50973 |
Soggetto topico | Statistics - North America |
ISBN |
0-429-17128-5
1-4822-0498-3 |
Classificazione | MAT029000 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Contents; Preface; Contributors; Part I: The history of COPSS; 1. A brief history of the Committee of Presidents of Statistical Societies (COPSS); Part II: Reminiscences and personal reflections on career paths; 2. Reminiscences of the Columbia University Department of Mathematical Statistics in the late 1940s; 3. A career in statistics; 4. ". . . how wonderful the field of statistics is. . . "; 5. An unorthodox journey to statistics: Equity issues, remarks on multiplicity; 6. Statistics before and after my COPSS Prize; 7. The accidental biostatistics professor
8. Developing a passion for statistics9. Reflections on a statistical career and their implications; 10. Science mixes it up with statistics; 11. Lessons from a twisted career path; 12. Promoting equity; Part III: Perspectives on the field and profession; 13. Statistics in service to the nation; 14. Where are the majors?; 15. We live in exciting times; 16. The bright future of applied statistics; 17. The road travelled: From statistician to statistical scientist; 18. A journey into statistical genetics and genomics; 19. Reflections on women in statistics in Canada; 20. "The whole women thing" 21. Reflections on diversityPart IV: Reflections on the discipline; 22. Why does statistics have two theories?; 23. Conditioning is the issue; 24. Statistical inference from a Dempster-Shafer perspective; 25. Nonparametric Bayes; 26. How do we choose our default methods?; 27. Serial correlation and Durbin-Watson bounds; 28. A non-asymptotic walk in probability and statistics; 29. The past's future is now: What will the present's future bring?; 30. Lessons in biostatistics; 31. A vignette of discovery; 32. Statistics and public health research 33. Statistics in a new era for finance and health care34. Meta-analyses: Heterogeneity can be a good thing; 35. Good health: Statistical challenges in personalizing disease prevention; 36. Buried treasures; 37. Survey sampling: Past controversies, current orthodoxy, and future paradigms; 38. Environmental informatics: Uncertainty quantification in the environmental sciences; 39. A journey with statistical genetics; 40. Targeted learning: From MLE to TMLE; 41. Statistical model building, machine learning, and the ah-ha moment; 42. In praise of sparsity and convexity 43. Features of Big Data and sparsest solution in high confidence set44. Rise of the machines; 45. A trio of inference problems that could win you a Nobel Prize in statistics (if you help fund it); Part V: Advice for the next generation; 46. Inspiration, aspiration, ambition; 47. Personal reflections on the COPSS Presidents' Award; 48. Publishing without perishing and other career advice; 49. Converting rejections into positive stimuli; 50. The importance of mentors; 51. Never ask for or give advice, make mistakes, accept mediocrity, enthuse; 52. Thirteen rules |
Record Nr. | UNINA-9910789244203321 |
Boca Raton : , : CRC Press, , [2014] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Past, present, and future of statistical science / / edited by Xihong Lin, Christian Genest, David L. Banks, Geert Molenberghs, David W. Scott, and Jane-Ling Wang |
Pubbl/distr/stampa | Boca Raton : , : CRC Press, , [2014] |
Descrizione fisica | 1 online resource (648 p.) |
Disciplina | 519.50973 |
Soggetto topico | Statistics - North America |
ISBN |
0-429-17128-5
1-4822-0498-3 |
Classificazione | MAT029000 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Contents; Preface; Contributors; Part I: The history of COPSS; 1. A brief history of the Committee of Presidents of Statistical Societies (COPSS); Part II: Reminiscences and personal reflections on career paths; 2. Reminiscences of the Columbia University Department of Mathematical Statistics in the late 1940s; 3. A career in statistics; 4. ". . . how wonderful the field of statistics is. . . "; 5. An unorthodox journey to statistics: Equity issues, remarks on multiplicity; 6. Statistics before and after my COPSS Prize; 7. The accidental biostatistics professor
8. Developing a passion for statistics9. Reflections on a statistical career and their implications; 10. Science mixes it up with statistics; 11. Lessons from a twisted career path; 12. Promoting equity; Part III: Perspectives on the field and profession; 13. Statistics in service to the nation; 14. Where are the majors?; 15. We live in exciting times; 16. The bright future of applied statistics; 17. The road travelled: From statistician to statistical scientist; 18. A journey into statistical genetics and genomics; 19. Reflections on women in statistics in Canada; 20. "The whole women thing" 21. Reflections on diversityPart IV: Reflections on the discipline; 22. Why does statistics have two theories?; 23. Conditioning is the issue; 24. Statistical inference from a Dempster-Shafer perspective; 25. Nonparametric Bayes; 26. How do we choose our default methods?; 27. Serial correlation and Durbin-Watson bounds; 28. A non-asymptotic walk in probability and statistics; 29. The past's future is now: What will the present's future bring?; 30. Lessons in biostatistics; 31. A vignette of discovery; 32. Statistics and public health research 33. Statistics in a new era for finance and health care34. Meta-analyses: Heterogeneity can be a good thing; 35. Good health: Statistical challenges in personalizing disease prevention; 36. Buried treasures; 37. Survey sampling: Past controversies, current orthodoxy, and future paradigms; 38. Environmental informatics: Uncertainty quantification in the environmental sciences; 39. A journey with statistical genetics; 40. Targeted learning: From MLE to TMLE; 41. Statistical model building, machine learning, and the ah-ha moment; 42. In praise of sparsity and convexity 43. Features of Big Data and sparsest solution in high confidence set44. Rise of the machines; 45. A trio of inference problems that could win you a Nobel Prize in statistics (if you help fund it); Part V: Advice for the next generation; 46. Inspiration, aspiration, ambition; 47. Personal reflections on the COPSS Presidents' Award; 48. Publishing without perishing and other career advice; 49. Converting rejections into positive stimuli; 50. The importance of mentors; 51. Never ask for or give advice, make mistakes, accept mediocrity, enthuse; 52. Thirteen rules |
Record Nr. | UNINA-9910813297103321 |
Boca Raton : , : CRC Press, , [2014] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|