Non-parametric conditional u-processes for locally stationary functional random fields under stochastic sampling design

HIGHLIGHTS

• who: Salim Bouzebda and Inass Soukarieh from the Laboratory of Applied of Compiu00e8gne(LMAC), Universitu00e9 de Technologie de Compiu00e8gne, , Compiu00e8gne, France have published the Article: Non-Parametric Conditional U-Processes for Locally Stationary Functional Random Fields under Stochastic Sampling Design, in the Journal: Mathematics 2023, 11, 16. of /2023/
• what: The authors develop an asymptotic theory of U-statistics for locally stationary random fields {Xs The authors examine the weak convergence where the class of functions is either bounded or unbounded and satisfies specific moment conditions. In this Article, the focus will be narrowed to . . .
  

   

  

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