Le Breton, Alain; Musiela, Marek Laws of large numbers for semimartingales with applications to stochastic regression. (English) Zbl 0662.60043 Probab. Theory Relat. Fields 81, No. 2, 275-290 (1989). Strong laws of large numbers for matrix-normalized vector-valued local martingales are established. The results are derived from strong laws for positive local submartingales and purely discontinuous local martingales and a Borel-Cantelli-type lemma for local martingales of finite variation. The multivariate strong laws are applied to study strong consistency of estimates in stochastic linear regression models. Reviewer: A.Le Breton Cited in 3 Documents MSC: 60F15 Strong limit theorems 62J05 Linear regression; mixed models 60G42 Martingales with discrete parameter Keywords:Strong laws of large numbers; local martingales; local submartingales; Borel-Cantelli-type lemma for local martingales of finite variation; strong consistency of estimates; linear regression models × Cite Format Result Cite Review PDF Full Text: DOI References: [1] Anderson, T.W., Taylor, J.: Strong consistency of least squares estimators in dynamic models. Ann Stat7, 484-489 (1979) · Zbl 0407.62040 · doi:10.1214/aos/1176344670 [2] Bouzar, N.: A form of the Borel-Cantelli lemma. Adv. Math.55, 211-216 (1985) · Zbl 0585.60042 · doi:10.1016/0001-8708(85)90089-1 [3] Chen, L.H.Y.: A short note on the conditional Borel-Cantelli lemma. Ann. Probab.6, 699-700 (1978) · Zbl 0377.60037 · doi:10.1214/aop/1176995492 [4] Christopeit, N.: Quasi-least-squares estimation in semimartingale regression models. 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