[Lecture Notes in Mathematics] Stochastic Geometry, Spatial Statistics and Random Fields Volume 2068 || Asymptotic Methods in Statistics of Random Point Processes

[Lecture Notes in Mathematics] Stochasti

[Lecture Notes in Mathematics] Stochastic Geometry, Spatial Statistics and Random Fields Volume 2068 || Limit Theorems in Discrete Stochastic Geometry

✍ Spodarev, Evgeny 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 419 KB

This volume provides a modern introduction to stochastic geometry, random fields and spatial statistics at a (post)graduate level. It is focused on asymptotic methods in geometric probability including weak and strong limit theorems for random spatial structures (point processes, sets, graphs, field

[Lecture Notes in Mathematics] Stochasti

[Lecture Notes in Mathematics] Stochastic Geometry, Spatial Statistics and Random Fields Volume 2068 || Foundations of Stochastic Geometry and Theory of Random Sets

✍ Spodarev, Evgeny 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 338 KB

This volume provides a modern introduction to stochastic geometry, random fields and spatial statistics at a (post)graduate level. It is focused on asymptotic methods in geometric probability including weak and strong limit theorems for random spatial structures (point processes, sets, graphs, field

[Lecture Notes in Mathematics] Stochasti

[Lecture Notes in Mathematics] Stochastic Geometry, Spatial Statistics and Random Fields Volume 2068 || Central Limit Theorems for Weakly Dependent Random Fields

✍ Spodarev, Evgeny 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 520 KB

This volume provides a modern introduction to stochastic geometry, random fields and spatial statistics at a (post)graduate level. It is focused on asymptotic methods in geometric probability including weak and strong limit theorems for random spatial structures (point processes, sets, graphs, field

[Lecture Notes in Statistics] Random Sum

[Lecture Notes in Statistics] Random Sums and Branching Stochastic Processes Volume 96 || Introduction

✍ Rahimov, Ibrahim 📂 Article 📅 1995 🏛 Springer New York ⚖ 453 KB

[Springer Proceedings in Mathematics & S

[Springer Proceedings in Mathematics & Statistics] Matrix-Analytic Methods in Stochastic Models Volume 27 || Acceptance-Rejection Methods for Generating Random Variates from Matrix Exponential Distributions and Rational Arrival Processes

✍ Latouche, Guy; Ramaswami, Vaidyanathan; Sethuraman, Jay; Sigman, Karl; Squillant 📂 Article 📅 2012 🏛 Springer New York 🌐 English ⚖ 690 KB

Matrix-analytic and related methods have become recognized as an important and fundamental approach for the mathematical analysis of general classes of complex stochastic models. Research in the area of matrix-analytic and related methods seeks to discover underlying probabilistic structures intrins

[Springer Proceedings in Mathematics & S

[Springer Proceedings in Mathematics & Statistics] Matrix-Analytic Methods in Stochastic Models Volume 27 || Revisiting the Tail Asymptotics of the Double QBD Process: Refinement and Complete Solutions for the Coordinate and Diagonal Directions

✍ Latouche, Guy; Ramaswami, Vaidyanathan; Sethuraman, Jay; Sigman, Karl; Squillant 📂 Article 📅 2012 🏛 Springer New York 🌐 English ⚖ 814 KB

Matrix-analytic and related methods have become recognized as an important and fundamental approach for the mathematical analysis of general classes of complex stochastic models. Research in the area of matrix-analytic and related methods seeks to discover underlying probabilistic structures intrins

[Lecture Notes in Mathematics] Stochastic Geometry, Spatial Statistics and Random Fields Volume 2068 || Asymptotic Methods in Statistics of Random Point Processes

✦ Synopsis