High dimensional probability VI : the Banff Volume
 Meeting
 International Conference on High Dimensional Probability (6th : 2011 : Banff, Alta.)
 Language
 English.
 Imprint
 Basel ; New York : Birkhäuser, c2013.
 Physical description
 xi, 373 p. : ill. ; 24 cm.
 Series
 Progress in probability ; 66.
Access
Contributors
 Contributor
 Houdré, Christian.
Contents/Summary
 Bibliography
 Includes bibliographical references.
 Contents

 Inequalities and Convexity. Bracketing Entropy of High Dimensional Distributions / Fuchang Gao
 Slepian's Inequality, Modularity and Integral Orderings / J. HoffmannJørgensen
 A More General Maximal Bernsteintype Inequality / Péter Kevei, David M. Mason
 Maximal Inequalities for Centered Norms of Sums of Independent Random Vectors / Rafał Latała
 A Probabilistic Inequality Related to Negative Definite Functions / Mikhail Lifshits, René L. Schilling, Ilya Tyurin
 Optimal Recentering Bounds, with Applications to Rosenthaltype Concentration of Measure Inequalities / Iosif Pinelis
 Strong Logconcavity is Preserved by Convolution / Jon A. Wellner
 On Some Gaussian Concentration Inequality for NonLipschitz Functions / Paweł Wolff
 Limit Theorems. Rates of Convergence in the Strong Invariance Principle for Nonadapted Sequences Application to Ergodic Automorphisms of the Torus / Jérôme Dedecker, Florence Merlevède, Françoise Pène
 On the Rate of Convergence to the Semicircular Law / Friedrich Götze, Alexandre Tikhomirov
 Empirical Quantile CLTs for Timedependent Data / James Kuelbs, Joel Zinn
 Asymptotic Properties for Linear Processes of Functionals of Reversible or Normal Markov Chains / Magda Peligrad
 Stochastic Processes. First Exit of Brownian Motion from a Onesided Moving Boundary / Frank Aurzada, Tanja Kramm
 On Lévy's Equivalence Theorem in Skorohod Space / Andreas BasseO'Connor, Jan Rosiński
 Continuity Conditions for a Class of Secondorder Permanental Chaoses / Michael B. Marcus, Jay Rosen
 Random Matrices and Applications. On the Operator Norm of Random Rectangular Toeplitz Matrices / Radosław Adamczak
 Edge Fluctuations of Eigenvalues of Wigner Matrices / Hanna Döring, Peter Eichelsbacher
 On the Limiting Shape of Young Diagrams Associated with Inhomogeneous Random Words / Christian Houdré, Hua Xu
 High Dimensional Statistics. Low Rank Estimation of Similarities on Graphs / Vladimir Koltchinskii, Pedro Rangel
 Sparse Principal Component Analysis with Missing Observations / Karim Lounici
 High Dimensional CLT and its Applications / Dragan Radulovic.
 Publisher's Summary
 This is a collection of papers by participants at High Dimensional Probability VI Meeting held from October 914, 2011 at the Banff International Research Station in Banff, Alberta, Canada. High Dimensional Probability (HDP) is an area of mathematics that includes the study of probability distributions and limit theorems in infinitedimensional spaces such as Hilbert spaces and Banach spaces. The most remarkable feature of this area is that it has resulted in the creation of powerful new tools and perspectives, whose range of application has led to interactions with other areas of mathematics, statistics, and computer science. These include random matrix theory, nonparametric statistics, empirical process theory, statistical learning theory, concentration of measure phenomena, strong and weak approximations, distribution function estimation in high dimensions, combinatorial optimization, and random graph theory. The papers in this volume show that HDP theory continues to develop new tools, methods, techniques and perspectives to analyze the random phenomena. Both researchers and advanced students will find this book of great use for learning about new avenues of research.
(source: Nielsen Book Data)
Subjects
 Subject
 Probabilities > Congresses.
Bibliographic information
 Publication date
 2013
 Responsibility
 Christian Houdré ... [et al.], editors.
 Title Variation
 High dimensional probability 6
 Series
 Progress in probability ; 66
 ISBN
 9783034804899
 303480489X
 9783034804905
 3034804903