Strong laws of large numbers for weighted sums of \(d\)-dimensional arrays of random variables and applications to marked point processes
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Publication:6633975
DOI10.1090/tpms/1220MaRDI QIDQ6633975
Tran Manh Cuong, Le Van Dung, Le Quang Dung, Ta Cong Son
Publication date: 6 November 2024
Published in: Theory of Probability and Mathematical Statistics (Search for Journal in Brave)
marked point processesstrong laws of large numbersweighted sumsmultidimensional indexMarcinkiewicz laws of large numbers
Random fields (60G60) Strong limit theorems (60F15) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55) Limit theorems for vector-valued random variables (infinite-dimensional case) (60B12)
Cites Work
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- The Brunk-Prokhorov strong law of large numbers for fields of martingale differences taking values in a Banach space
- Rate of complete convergence for maximums of moving average sums of martingale difference fields in Banach spaces
- An asymmetric Marcinkiewicz-Zygmund LLN for random fields
- Moment conditions in strong laws of large numbers for multiple sums and random measures
- On the strong law of large numbers for weighted sums of random variables
- On the strong law of large numbers for \(d\)-dimensional arrays of random variables
- Strong laws of large numbers for \(r\)-dimensional arrays of random variables
- Limit Theorems for Multi-Indexed Sums of Random Variables
- Convergence of weighted averages of independent random variables
- On the strong law of large numbers
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