27 results on '"Prakasa Rao, B.L.S."'
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2. On some maximal inequalities for demimartingales and N-demimartingales based on concave Young functions
3. Random central limit theorem for associated random variables and the order of approximation
4. Pricing geometric Asian power options under mixed fractional Brownian motion environment
5. Corrigendum to “Central limit theorem for U-statistics of associated random variables” [Statist. Probab. Lett. 57 (1) (2002) 9–15]
6. Filtered fractional Poisson processes
7. Characterization of Gaussian distribution on a Hilbert space from samples of random size
8. On conditional Borel–Cantelli lemmas for sequences of random variables
9. Remarks on maximal inequalities for non-negative demisubmartingales
10. Maximal inequalities for N-demimartingale and strong law of large numbers
11. Chebyshev’s inequality for Hilbert-space-valued random elements
12. Sufficient conditions for stochastic equality of two distributions under some partial orders
13. Inequalities for characteristic functions of multidimensional distributions
14. Matrix variance inequalities for multivariate distributions
15. Estimation of cusp in nonregular nonlinear regression models
16. Another Esseen-type inequality for multivariate probability density functions
17. Hajek–Renyi-type inequality for associated sequences
18. Application of Whittle's inequality for banach space valued martingales
19. Central limit theorem for U-statistics of associated random variables
20. Asymptotic normality for U-statistics of associated random variables
21. Consistent estimation of density-weighted average derivative by orthogonal series method
22. Nonparametric estimation for Galton—Watson type process
23. Estimation of the survival function for stationary associated processes
24. Remarks on univariate elliptical distributions
25. The rate of convergence of the least squares estimator in a non-linear regression model with dependent errors
26. On the exponential rate of convergence of the least squares estimator in the nonlinear regression model with Gaussian errors
27. Asymptotic inference for stochastic processes
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