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Limit Theorems for Stochastic Processes.

Journal of the American Statistical Association · 1988 · Vol. 83(404) · pp. 1220–1220
Ditlev MonradJean JacodAlbert N. Shiryaev

Abstract

I. The General Theory of Stochastic Processes, Semimartingales and Stochastic Integrals.- II. Characteristics of Semimartingales and Processes with Independent Increments.- III. Martingale Problems and Changes of Measures.- IV. Hellinger Processes, Absolute Continuity and Singularity of Measures.- V. Contiguity, Entire Separation, Convergence in Variation.- VI. Skorokhod Topology and Convergence of Processes.- VII. Convergence of Processes with Independent Increments.- VIII. Convergence to a Process with Independent Increments.- IX. Convergence to a Semimartingale.- X. Limit Theorems, Density Processes and Contiguity.- Bibliographical Comments.- References.- Index of Symbols.- Index of Terminology.- Index of Topics.- Index of Conditions for Limit Theorems.

Stochastic processes and financial applicationsLimit (mathematics)MathematicsMathematical economicsStatistical physicsApplied mathematicsEconometricsPhysicsMathematical analysis
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