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A 2-Dimensional Functional Central Limit Theorem for Non-stationary Dependent Random Fields

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Document pages: 14 pages

Abstract: We obtain an elementary invariance principle for multi-dimensional Browniansheet where the underlying random fields are not necessarily independent orstationary. Possible applications include unit-root tests for spatial as wellas panel data models.

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