The behaviour of a non-differentiable stationary Gaussian process after a level crossing
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Modeling and Simulation,Statistics and Probability
Reference8 articles.
1. Convergence of Probability Measures;Billingsley,1968
2. Lipschitz behavior and integrability of characteristic functions;Boas;Ann. Math. Statist.,1967
3. Wave-length and amplitude in Gaussian noise;Lindgren;Adv. Applied Prob.,1972
4. Wave-length and amplitude for a stationary Gaussian process after a high maxinum;Lindgren;Z. Wahrscheinlichkeitstheorie verw. G.,1972
5. Discrete wave analysis of continuous stochastic processes;Lindgren;Stochastic Processes Appl.,1973
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1. The Maximum of Stationary Non-Differentiable Gaussian Processes;Advances in Safety and Reliability;1997
2. Model fields in crossing theory: a weak convergence perspective;Advances in Applied Probability;1988-12
3. Model fields in crossing theory: a weak convergence perspective;Advances in Applied Probability;1988-12
4. Weak convergence of probability measures in spaces of smooth functions;Stochastic Processes and their Applications;1986-12
5. A Survey of Recent Progress on Level-Crossing Problems for Random Processes;Communications and Networks;1986
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