Lectures on Probability Theory and Statistics Ecole d'Eté de Probabilités de Saint-Flour XXIX - 1999 /

• Κύριοι συγγραφείς: Bolthausen, Erwin (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Perkins, Edwin (http://id.loc.gov/vocabulary/relators/aut), Vaart, Aad, van der (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bernard, Pierre (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
• Έκδοση: 1st ed. 2002.
• Σειρά: Lecture Notes in Mathematics, 1781
• Θέματα: Probabilities.; Statistics .; Mathematical physics.; Probability Theory and Stochastic Processes.; Statistical Theory and Methods.; Theoretical, Mathematical and Computational Physics.

This volume contains lectures given at the Saint-Flour Summer School of Probability Theory during the period 8th-24th July, 1999. We thank the authors for all the hard work they accomplished. Their lectures are a work of reference in their domain. The School brought together 85 participants, 31 of w...

Πίνακας περιεχομένων:

• Erwin Bolthausen: Large Deviations and Interacting Random Walks
• On the construction of the three-dimensional polymer measure
• Self-attracting random walks
• One-dimensional pinning-depinning transitions
• Edwin Perkins:Dawson-Watanabe Superprocesses and Measure-valued Diffusions
• Branching Particle Systems and Dawson-Watanabe Superprocesses
• Sample Path Properties of Superprocesses
• Interactive Drifts
• Spatial Interactions
• Aad van der Vaart: Semiparametric Statistics
• Lecture: Introduction, Tangent Sets
• Lecture: Lower Bounds
• Lecture: Calculus of Scores
• Lecture: Gaussian Approximations
• Lecture: Empirical Processes and Consistency of Z-Estimators
• Lecture: Empirical Processes and Normality of Z-Estimators
• Lecture: Efficient Score and One-step Estimators
• Lecture: Rates of Convergence
• Lecture: Maximum and Profile Likelihood
• Lecture: Infinite-dimensional Z-Estimators.