Recent Advances in Applied Probability

Applied probability is a broad research area that is of interest to scientists in diverse disciplines in science and technology, including: anthropology, biology, communication theory, economics, epidemiology, finance, geography, linguistics, medicine, meteorology, operations research, psychology, q...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Baeza-Yates, Ricardo (Editor), Glaz, Joseph (Editor), Gzyl, Henryk (Editor), Hüsler, Jürgen (Editor), Palacios, José Luis (Editor)
Format: Electronic eBook
Language:English
Published: Boston, MA : Springer US, 2005.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Modeling Text Databases
  • An Overview of Probabilistic and Time Series Models in Finance
  • Stereological Estimation of the Rose of Directions from the Rose of Intersections
  • Approximations for Multiple Scan Statistics
  • Krawtchouk Polynomials and Krawtchouk Matrices
  • An Elementary Rigorous Introduction to Exact Sampling
  • On the Different Extensions of the Ergodic Theorem of Information Theory
  • Dynamic Stochastic Models for Indexes and Thesauri, Identification Clouds, and Information Retrieval and Storage
  • Stability and Optimal Control for Semi-Markov Jump Parameter Linear Systems
  • Statistical Distances Based on Euclidean Graphs
  • Implied Volatility: Statics, Dynamics, and Probabilistic Interpretation
  • On the Increments of the Brownian Sheet
  • Compound Poisson Approximation with Drift for Stochastic Additive Functionals with Markov and Semi-Markov Switching
  • Penalized Model Selection for Ill-Posed Linear Problems
  • The Arov-Grossman Model and Burg’s Entropy
  • Recent Results in Geometric Analysis Involving Probability
  • Dependence or Independence of the Sample Mean and Variance In Non-IID or Non-Normal Cases and the Role of Some Tests of Independence
  • Optimal Stopping Problems for Time-Homogeneous Diffusions: A Review
  • Criticality in Epidemics: The Mathematics of Sandpiles Explains Uncertainty in Epidemic Outbreaks.