- Book
- xvi, 396 p. : ill. ; 24 cm.
- Preface to the second edition.- Preface to the first edition.- Introduction.- LDP for Finite Dimensional Space.- Applications - The Finite Dimensional Case.- General Principles.- Sample Path Large Deviations.- The LDP for Abstract Empirical Measures.- Applications of Empirical Measures LDP.- Appendices.- Bibliography.- General Conventions.- Index of Notation.- Index.
- (source: Nielsen Book Data)9783642033100 20160527
- Preface to the second edition.- Preface to the first edition.- Introduction.- LDP for Finite Dimensional Space.- Applications - The Finite Dimensional Case.- General Principles.- Sample Path Large Deviations.- The LDP for Abstract Empirical Measures.- Applications of Empirical Measures LDP.- Appendices.- Bibliography.- General Conventions.- Index of Notation.- Index.
- (source: Nielsen Book Data)9783642033100 20160527
dx.doi.org SpringerLink
- dx.doi.org SpringerLink
- Google Books (Full view)
Science Library (Li and Ma)
Science Library (Li and Ma) | Status |
---|---|
Stacks | |
QA273.67 .D463 2010 | Unknown On reserve at Li and Ma Science Library 2-hour loan |
MATH-234-01, STATS-300C-01, STATS-374-01
- Course
- MATH-234-01 -- Large Deviations Theory
- Instructor(s)
- Dembo, Amir
- Course
- STATS-300C-01 -- Theory of Statistics
- Instructor(s)
- Candes, Emmanuel Jean
- Course
- STATS-374-01 -- Large Deviations Theory
- Instructor(s)
- Dembo, Amir
- Book
- xii, 263 p. : ill. (some col.) ; 24 cm.
- Introduction and foreword-- 1. Empirical Bayes and the James-Stein estimator-- 2. Large-scale hypothesis testing-- 3. Significance testing algorithms-- 4. False discovery rate control-- 5. Local false discovery rates-- 6. Theoretical, permutation and empirical null distributions-- 7. Estimation accuracy-- 8. Correlation questions-- 9. Sets of cases (enrichment)-- 10. Combination, relevance, and comparability-- 11. Prediction and effect size estimation-- A. Exponential families-- B. Programs and data sets-- Bibliography-- Index.
- (source: Nielsen Book Data)9780521192491 20160604
(source: Nielsen Book Data)9780521192491 20160604
- Introduction and foreword-- 1. Empirical Bayes and the James-Stein estimator-- 2. Large-scale hypothesis testing-- 3. Significance testing algorithms-- 4. False discovery rate control-- 5. Local false discovery rates-- 6. Theoretical, permutation and empirical null distributions-- 7. Estimation accuracy-- 8. Correlation questions-- 9. Sets of cases (enrichment)-- 10. Combination, relevance, and comparability-- 11. Prediction and effect size estimation-- A. Exponential families-- B. Programs and data sets-- Bibliography-- Index.
- (source: Nielsen Book Data)9780521192491 20160604
(source: Nielsen Book Data)9780521192491 20160604
Science Library (Li and Ma)
Science Library (Li and Ma) | Status |
---|---|
Stacks | |
QA279.5 .E39 2010 | Unknown On reserve at Li and Ma Science Library 2-hour loan |
STATS-300C-01
- Course
- STATS-300C-01 -- Theory of Statistics
- Instructor(s)
- Candes, Emmanuel Jean
3. Random fields and geometry [2007]
- Book
- xvii, 448 p. : ill. ; 24 cm.
- Preface.- Part I. Gaussian Processes. Gaussian Fields. Gaussian Inequalities. Orthogonal Expansions. Excursion Probabilities. Stationary Fields.- Parat II. Geometry. Integral Geometry. Differential Geometry. Piecewise Smooth Manifolds. Critical Point Theory. Volume of Tubes.- Part III. The Geometry of Random Fields. Random Fields on Euclidean Spaces. Random Fields on Manifolds. Mean Intrinsic Volumes. Excursion Probabilities for Smooth Fields. Non-Gaussian Geometry.- References.- Index.
- (source: Nielsen Book Data)9780387481128 20160528
(source: Nielsen Book Data)9780387481128 20160528
- Preface.- Part I. Gaussian Processes. Gaussian Fields. Gaussian Inequalities. Orthogonal Expansions. Excursion Probabilities. Stationary Fields.- Parat II. Geometry. Integral Geometry. Differential Geometry. Piecewise Smooth Manifolds. Critical Point Theory. Volume of Tubes.- Part III. The Geometry of Random Fields. Random Fields on Euclidean Spaces. Random Fields on Manifolds. Mean Intrinsic Volumes. Excursion Probabilities for Smooth Fields. Non-Gaussian Geometry.- References.- Index.
- (source: Nielsen Book Data)9780387481128 20160528
(source: Nielsen Book Data)9780387481128 20160528
site.ebrary.com ebrary
Science Library (Li and Ma)
Science Library (Li and Ma) | Status |
---|---|
Stacks | |
QA274.45 .A434 2007 | Unknown On reserve at Li and Ma Science Library 2-hour loan |
STATS-300C-01
- Course
- STATS-300C-01 -- Theory of Statistics
- Instructor(s)
- Candes, Emmanuel Jean