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Table of Contents:
Preface
Chapter 1 – Risk Theory in Actuarial Science
(Dimitrios G. Konstantinides, Department of Statistics and Actuarial Financial Mathematics, University of the Aegean, Mytilene, Greece) pp.1-86
Chapter 2 – Multivariate Models Connected with Poisson Sums and Maxima of Exponentials
(Anna K. Panorska, Department of Mathematics and Statistics,
University of Nevada, Reno, USA)pp.87-104
Chapter 3 – Laplace Probability Distributions and Related Stochastic Processes
(Tomasz J. Kozubowski, Department of Mathematics and Statistics,
University of Nevada, Reno, USA; Krzysztof Podgorski, Centre for Mathematical Sciences, Mathematical Statistics,
Lund University, Lund, Sweden)pp.105-146
Chapter 4 – Markov Chain Approximation for Stochastic Control and Games
(Qingshuo Song, Department of Mathematics, City University of Hong Kong, Hong Kong, China)pp.147-178
Chapter 5 – A Random Time Horizon Optimal Stopping Problem
(Huiling Le, School of Mathematical Sciences, University of Nottingham, UK; Chudong Wang, School of Pharmacy, University of Nottingham, Nottingham, UK) pp.179-204
Chapter 6 – Dendrogram Representation of Stochastic Clustering
(Vahid Partovi Nia, Department of Mathematics and Industrial Engineering, Ecole Polytechnique Montreal, Montreal, Canada
David Stephens, Department of Mathematics and Statistics,
McGill University, Montreal, Canada)pp.305-220
Chapter 7 – Berstein-Hoeffding Type Exponential Inequalities and Strong Laws of Large Numbers
(Guo-dong Xing, Department of Mathematics, Hefei Normal University, Hefei, China; Shan-chao Yang, Department of Mathematics
Guangxi Normal University, Guilin, Guangxi, China)pp.221-244
Chapter 8 – Bayesian Computational Methods for Meta-Analysis of Gene Expression Studies
(Erin M. Conlon, Department of Mathematics and Statistics,
University of Massachusetts, Amherst, USA; Joon J. Song, Department of Mathematics, University of Arkansas, Fayetteville, USA)pp.245-268
Chapter 9 – Sampling – Reconstruction Procedures of Gaussian Process Realizations
(Vladimir Kazakov, Department of Telecommunications Engineering,
National Polytechnic Institute, Zacatenco, Mexico-City, Mexico)pp.269-298
Chapter 10 – Sampling – Reconstruction Procedures of Non-Gaussian Process Realizations
(Vladimir Kazakov, Department of Telecommunications Engineering,
National Polytechnic Institute, Zacatenco, Mexico-City, Mexico)pp.299-326
Chapter 11 – Statistical Inference for Elliptically Contoured Distributions
(Amadou Sarr, Department of Mathematics and Statistics,
McMaster University, Hamilton, Canada)pp.327-364
Index pp.365-369 |
