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An Introduction to the Theory of Point Processes - Volume II: General Theory and Structure
Preface to Volume II, Second Edition
7
Contents
9
Chapter Titles for Volume I
11
Principal Notation
12
Concordance of Statements from the First Edition
16
9 Basic Theory of Random Measures and Point Processes
18
9.1. Definitions and Examples
19
9.2. Finite-Dimensional Distributions and the Existence Theorem
42
9.3. Sample Path Properties: Atoms and Orderliness
55
9.4. Functionals: Definitions and Basic Properties
69
9.5. Moment Measures and Expansions of Functionals
82
10 Special Classes of Processes
93
10.1. Completely Random Measures
94
10.2. In.nitely Divisible Point Processes
104
10.3. Point Processes De.ned by Markov Chains
112
10.4. Markov Point Processes
135
11 Convergence Concepts and Limit Theorems
148
11.1. Modes of Convergence for Random Measures and Point Processes
149
11.2. Limit Theorems for Superpositions
163
11.3. Thinned Point Processes
172
11.4. Random Translations
183
12 Stationary Point Processes and Random Measures
193
12.1. Stationarity: Basic Concepts
194
12.2. Ergodic Theorems
211
12.3. Mixing Conditions
223
12.4. Stationary In.nitely Divisible Point Processes
233
12.5. Asymptotic Stationarity and Convergence to Equilibrium
239
12.6. Moment Stationarity and Higher- order Ergodic Theorems
253
12.7. Long-range Dependence
266
12.8. Scale-invariance and Self-similarity
272
13 Palm Theory
285
13.1. Campbell Measures and Palm Distributions
286
13.2. Palm Theory for Stationary Random Measures
301
13.3. Interval- and Point-stationarity
316
13.4. Marked Point Processes, Ergodic Theorems, and Convergence to Equilibrium
334
13.5. Cluster Iterates
351
13.6. Fractal Dimensions
357
14 Evolutionary Processes and Predictability
372
14.1. Compensators and Martingales
373
14.2. Campbell Measure and Predictability
393
14.3. Conditional Intensities
407
14.4. Filters and Likelihood Ratios
417
14.5. A Central Limit Theorem
429
14.6. Random Time Change
435
14.7. Poisson Embedding and Existence Theorems
443
14.8. Point Process Entropy and a Shannon – MacMillan Theorem
457
15 Spatial Point Processes
474
15.1. Descriptive Aspects: Distance Properties
475
15.2. Directional Properties and Isotropy
483
15.3. Stationary Line Processes in the Plane
488
15.4. Space–Time Processes
502
15.5. The Papangelou Intensity and Finite Point Patterns
523
15.6. Modi.ed Campbell Measures and Papangelou Kernels
535
15.7. The Papangelou Intensity Measure and Exvisibility
543
References with Index
554
Subject Index
574
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