Abstract
In (Ordóñez Cabrera and Volodin, J. Math. Anal. Appl. 305:644–658, 2005), the authors introduce the notion of h-integrability of an array of random variables with respect to an array of constants, and obtained some mean convergence theorems for weighted sums of random variables subject to some special kinds of dependence.
In view of the important role played by conditioning and dependence in the models used to describe many situations in the applied sciences, the concepts and results in the aforementioned paper are extended herein to the case of randomly weighted sums of dependent random variables when a sequence of conditioning sigma-algebras is given. The dependence conditions imposed on the random variables (conditional negative quadrant dependence and conditional strong mixing) as well as the convergence results obtained are conditional relative to the conditioning sequence of sigma-algebras.
In the last section, a strong conditional convergence theorem is also established by using a strong notion of conditional h-integrability.
Similar content being viewed by others
References
Aas K, Czado C, Frigessi A, Bakken H (2009) Pair-copula constructions of multiple dependence. Insur Math Econ 44:182–198
Basawa IV, Prakasa Rao BLS (1980) Statistical inference for stochastic processes. Academic Press, London
Chandra TK, Goswami A (2003) Cesàro α-integrability and laws of large numbers I. J Theor Probab 16:655–669
Chandra TK, Goswami A (2006) Cesàro α-integrability and laws of large numbers-II. J Theor Probab 19:789–816
Chow YS, Teicher H (1997) Probability theory: independence, interchangeability, martingales, 3rd edn. Springer, New York. xxii+488 pp
Leek JT (2011) Asymptotic conditional singular value decomposition for high-dimensional genomic data. Biometrics. doi:10.1111/j.1541-0420.2010.01455.x
Lehmann EL (1966) Some concepts of dependence. Ann Math Stat 37:1137–1153
Ordóñez Cabrera M (1994) Convergence of weighted sums of random variables and uniform integrability concerning the weights. Collect Math 45:121–132
Ordóñez Cabrera M, Volodin AI (2005) Mean convergence theorems and weak laws of large numbers for weighted sums of random variables under a condition of weighted integrability. J Math Anal Appl 305:644–658
Prakasa Rao BLS (2009) Conditional independence, conditional mixing and conditional association. Ann Inst Stat Math 61:441–460
Rosenblatt M (1956) A central limit theorem and a strong mixing condition. Proc Natl Acad Sci USA 42:43–47
Roussas GG (2008) On conditional independence, mixing, and association. Stoch Anal Appl 26:1274–1309
Shen X, Lin Z, Zhang Y (2009) Uniform estimate for maximum of randomly weighted sums with applications to ruin theory. Methodol Comput Appl Probab 11:669–685
Sheremet O, Lucas A (2009) Global loss diversification in the insurance sector. Insur Math Econ 44:415–425
Wang D, Tang Q (2006) Tail probabilities of randomly weighted sums of random variables with dominated variation. Stoch Models 22:253–272
Weng C, Zhang Y, Tan KS (2009) Ruin probabilities in a discrete time risk model with dependent risks of heavy tail. Scand Actuar J 3:205–218
Yuan D, Tao B (2008) Mean convergence theorems for weighted sums of arrays of residually h-integrable random variables concerning the weights under dependence assumptions. Acta Appl Math 103:221–234
Author information
Authors and Affiliations
Corresponding author
Additional information
The research of M. Ordóñez Cabrera has been partially supported by DGICYT grant BFM2003-03893-C02-01 and Junta de Andalucia FQM 127. The research of A. Volodin has been partially supported by the National Science and Engineering Research Council of Canada.
Rights and permissions
About this article
Cite this article
Ordóñez Cabrera, M., Rosalsky, A. & Volodin, A. Some theorems on conditional mean convergence and conditional almost sure convergence for randomly weighted sums of dependent random variables. TEST 21, 369–385 (2012). https://doi.org/10.1007/s11749-011-0248-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11749-011-0248-0
Keywords
- Conditional residual h-integrability
- Randomly weighted sums
- Conditional negative dependence
- Conditional strong-mixing
- Conditional strongly residual h-integrability