Paolo Gibilisco / Eva Riccomagno / Maria-Piera Rogantin / Henry P. Wynn (ed.)
Algebraic and Geometric Methods in Statistics
Herausgeber: Gibilisco, Paolo; Wynn, Henry P; Rogantin, Maria Piera; Riccomagno, Eva
Paolo Gibilisco / Eva Riccomagno / Maria-Piera Rogantin / Henry P. Wynn (ed.)
Algebraic and Geometric Methods in Statistics
Herausgeber: Gibilisco, Paolo; Wynn, Henry P; Rogantin, Maria Piera; Riccomagno, Eva
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An up-to-date account of algebraic statistics and information geometry, which also explores the emerging connections between these two disciplines.
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An up-to-date account of algebraic statistics and information geometry, which also explores the emerging connections between these two disciplines.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 382
- Erscheinungstermin: 30. November 2009
- Englisch
- Abmessung: 257mm x 182mm x 24mm
- Gewicht: 822g
- ISBN-13: 9780521896191
- ISBN-10: 0521896193
- Artikelnr.: 26551666
- Verlag: Cambridge University Press
- Seitenzahl: 382
- Erscheinungstermin: 30. November 2009
- Englisch
- Abmessung: 257mm x 182mm x 24mm
- Gewicht: 822g
- ISBN-13: 9780521896191
- ISBN-10: 0521896193
- Artikelnr.: 26551666
P. Gibilisco, E. Riccomagno, M. P. Rogantin, H. P. Wynn, S. E. Fienberg, P. Hersh, A. Rinaldo, Y. Zhou, A. Slavkovic, A. Krampe, S. Kuhnt, Y. Chen, I. Dinwoodie, R. Yoshida, E. Carlini, F. Rapallo, S. Hosten, S. Sullivant, A. Dobra, H. Maruri-Aguilar, R. Laubenbacher, B. Stigler, R. Notari, R. Fontana, S. Aoki, A. Takemura, R. F. Streater, A. Jencová, G. Lebanon, K. Fukumizu, D. Imparato, B. Trivellato, F. Hansen, G. Pistone
List of contributors; Frequently used notations and symbols; Preface; 1.
Algebraic and geometric methods in statistics P. Gibilisco, E. Riccomagno,
M. P. Rogantin and H. P. Wynn; Part I. Contingency Tables: 2. Maximum
likelihood estimation in latent class models S. E. Fienberg, P. Hersh, A.
Rinaldo and Y. Zhou; 3. Algebraic geometry of 2 x 2 contingency tables A.
Slavkovic and S. E. Fienberg; 4. Model selection for contingency tables
with algebraic statistics A. Krampe and S. Kuhnt; 5. Markov chains,
quotient ideals, and connectivity Y. Chen, I. Dinwoodie and R. Yoshida; 6.
Algebraic category distinguishability E. Carlini and F. Rapallo; 7.
Algebraic complexity of MLE for bivariate missing data S. Höten and S.
Sullivant; 8. The generalized shuttle algorithm A. Dobra and S. E.
Fienberg; Part II. Designed Experiments: 9. Generalised design H.
Maruri-Aguilar and H. P. Wynn; 10. Design of experiments and biochemical
network inference R. Laubenbacher and B. Stigler; 11. Replicated
measurements and algebraic statistics R. Notari and E. Riccomagno; 12.
Indicator function and sudoku designs R. Fontana and M. P. Rogantin; 13.
Markov basis for design of experiments and three-level factors S. Aoki and
A. Takemura; Part III. Information Geometry: 14. Non-parametric estimation
R. F. Streater; 15. Banach manifold of quantum states R. F. Streater; 16.
On quantum information manifolds A. Jen¿ová; 17. Axiomatic geometries for
text documents G. Lebanon; 18. Exponential manifold by reproducing kernel
Hilbert spaces K. Fukumizu; 19. Extended exponential models D. Imparato and
B. Trivellato; 20. Quantum statistics and measures of quantum information
F. Hansen; Part IV. Information Geometry and Algebraic Statistics: 21.
Algebraic varieties vs differentiable manifolds G. Pistone; Part V. On-Line
Supplements: Coloured Figures for Chapter 2; 22. Maximum likelihood
estimation in latent class models Y. Zhou; 23. The generalized shuttle
algorithm A. Dobra and S. E. Fienberg; 24. Indicator function and sudoku
designs R. Fontana and M. P. Rogantin; 25. Replicated measurements and
algebraic statistics R. Notari and E. Riccomagno; 26. Extended exponential
models D. Imparato and B. Trivellato.
Algebraic and geometric methods in statistics P. Gibilisco, E. Riccomagno,
M. P. Rogantin and H. P. Wynn; Part I. Contingency Tables: 2. Maximum
likelihood estimation in latent class models S. E. Fienberg, P. Hersh, A.
Rinaldo and Y. Zhou; 3. Algebraic geometry of 2 x 2 contingency tables A.
Slavkovic and S. E. Fienberg; 4. Model selection for contingency tables
with algebraic statistics A. Krampe and S. Kuhnt; 5. Markov chains,
quotient ideals, and connectivity Y. Chen, I. Dinwoodie and R. Yoshida; 6.
Algebraic category distinguishability E. Carlini and F. Rapallo; 7.
Algebraic complexity of MLE for bivariate missing data S. Höten and S.
Sullivant; 8. The generalized shuttle algorithm A. Dobra and S. E.
Fienberg; Part II. Designed Experiments: 9. Generalised design H.
Maruri-Aguilar and H. P. Wynn; 10. Design of experiments and biochemical
network inference R. Laubenbacher and B. Stigler; 11. Replicated
measurements and algebraic statistics R. Notari and E. Riccomagno; 12.
Indicator function and sudoku designs R. Fontana and M. P. Rogantin; 13.
Markov basis for design of experiments and three-level factors S. Aoki and
A. Takemura; Part III. Information Geometry: 14. Non-parametric estimation
R. F. Streater; 15. Banach manifold of quantum states R. F. Streater; 16.
On quantum information manifolds A. Jen¿ová; 17. Axiomatic geometries for
text documents G. Lebanon; 18. Exponential manifold by reproducing kernel
Hilbert spaces K. Fukumizu; 19. Extended exponential models D. Imparato and
B. Trivellato; 20. Quantum statistics and measures of quantum information
F. Hansen; Part IV. Information Geometry and Algebraic Statistics: 21.
Algebraic varieties vs differentiable manifolds G. Pistone; Part V. On-Line
Supplements: Coloured Figures for Chapter 2; 22. Maximum likelihood
estimation in latent class models Y. Zhou; 23. The generalized shuttle
algorithm A. Dobra and S. E. Fienberg; 24. Indicator function and sudoku
designs R. Fontana and M. P. Rogantin; 25. Replicated measurements and
algebraic statistics R. Notari and E. Riccomagno; 26. Extended exponential
models D. Imparato and B. Trivellato.
List of contributors; Frequently used notations and symbols; Preface; 1.
Algebraic and geometric methods in statistics P. Gibilisco, E. Riccomagno,
M. P. Rogantin and H. P. Wynn; Part I. Contingency Tables: 2. Maximum
likelihood estimation in latent class models S. E. Fienberg, P. Hersh, A.
Rinaldo and Y. Zhou; 3. Algebraic geometry of 2 x 2 contingency tables A.
Slavkovic and S. E. Fienberg; 4. Model selection for contingency tables
with algebraic statistics A. Krampe and S. Kuhnt; 5. Markov chains,
quotient ideals, and connectivity Y. Chen, I. Dinwoodie and R. Yoshida; 6.
Algebraic category distinguishability E. Carlini and F. Rapallo; 7.
Algebraic complexity of MLE for bivariate missing data S. Höten and S.
Sullivant; 8. The generalized shuttle algorithm A. Dobra and S. E.
Fienberg; Part II. Designed Experiments: 9. Generalised design H.
Maruri-Aguilar and H. P. Wynn; 10. Design of experiments and biochemical
network inference R. Laubenbacher and B. Stigler; 11. Replicated
measurements and algebraic statistics R. Notari and E. Riccomagno; 12.
Indicator function and sudoku designs R. Fontana and M. P. Rogantin; 13.
Markov basis for design of experiments and three-level factors S. Aoki and
A. Takemura; Part III. Information Geometry: 14. Non-parametric estimation
R. F. Streater; 15. Banach manifold of quantum states R. F. Streater; 16.
On quantum information manifolds A. Jen¿ová; 17. Axiomatic geometries for
text documents G. Lebanon; 18. Exponential manifold by reproducing kernel
Hilbert spaces K. Fukumizu; 19. Extended exponential models D. Imparato and
B. Trivellato; 20. Quantum statistics and measures of quantum information
F. Hansen; Part IV. Information Geometry and Algebraic Statistics: 21.
Algebraic varieties vs differentiable manifolds G. Pistone; Part V. On-Line
Supplements: Coloured Figures for Chapter 2; 22. Maximum likelihood
estimation in latent class models Y. Zhou; 23. The generalized shuttle
algorithm A. Dobra and S. E. Fienberg; 24. Indicator function and sudoku
designs R. Fontana and M. P. Rogantin; 25. Replicated measurements and
algebraic statistics R. Notari and E. Riccomagno; 26. Extended exponential
models D. Imparato and B. Trivellato.
Algebraic and geometric methods in statistics P. Gibilisco, E. Riccomagno,
M. P. Rogantin and H. P. Wynn; Part I. Contingency Tables: 2. Maximum
likelihood estimation in latent class models S. E. Fienberg, P. Hersh, A.
Rinaldo and Y. Zhou; 3. Algebraic geometry of 2 x 2 contingency tables A.
Slavkovic and S. E. Fienberg; 4. Model selection for contingency tables
with algebraic statistics A. Krampe and S. Kuhnt; 5. Markov chains,
quotient ideals, and connectivity Y. Chen, I. Dinwoodie and R. Yoshida; 6.
Algebraic category distinguishability E. Carlini and F. Rapallo; 7.
Algebraic complexity of MLE for bivariate missing data S. Höten and S.
Sullivant; 8. The generalized shuttle algorithm A. Dobra and S. E.
Fienberg; Part II. Designed Experiments: 9. Generalised design H.
Maruri-Aguilar and H. P. Wynn; 10. Design of experiments and biochemical
network inference R. Laubenbacher and B. Stigler; 11. Replicated
measurements and algebraic statistics R. Notari and E. Riccomagno; 12.
Indicator function and sudoku designs R. Fontana and M. P. Rogantin; 13.
Markov basis for design of experiments and three-level factors S. Aoki and
A. Takemura; Part III. Information Geometry: 14. Non-parametric estimation
R. F. Streater; 15. Banach manifold of quantum states R. F. Streater; 16.
On quantum information manifolds A. Jen¿ová; 17. Axiomatic geometries for
text documents G. Lebanon; 18. Exponential manifold by reproducing kernel
Hilbert spaces K. Fukumizu; 19. Extended exponential models D. Imparato and
B. Trivellato; 20. Quantum statistics and measures of quantum information
F. Hansen; Part IV. Information Geometry and Algebraic Statistics: 21.
Algebraic varieties vs differentiable manifolds G. Pistone; Part V. On-Line
Supplements: Coloured Figures for Chapter 2; 22. Maximum likelihood
estimation in latent class models Y. Zhou; 23. The generalized shuttle
algorithm A. Dobra and S. E. Fienberg; 24. Indicator function and sudoku
designs R. Fontana and M. P. Rogantin; 25. Replicated measurements and
algebraic statistics R. Notari and E. Riccomagno; 26. Extended exponential
models D. Imparato and B. Trivellato.