搜索结果: 1-9 共查到“管理学 Normalized”相关记录9条 . 查询时间(0.078 秒)
We introduce online learning algorithms which are independent of feature scales, proving regret bounds dependent on the ratio of scales existent in the data rather than the absolute scale. This has se...
Asymptotic representations of self-normalized sums
Asymptotic representations self-normalized sums
2009/9/23
Asymptotic representations of self-normalized sums。
Limiting distributions and almost sure limit theorems for the normalized maxima of complete and incomplete samples from Gaussian sequence
complete and incomplete samples limiting distribution maximum stationary Gaussian sequence
2009/9/16
Let ${X_k, kgeqslant 1}$ be a stationary Gaussian sequence with partial maximum $M_n=max{X_{k},1leqslant kleqslant n}$ and sample mean $overline{X}_n=sum_{k=1}^{n}X_{k}/n$. Suppose that some of the ra...
Invariance principles for standard-normalized and self-normalized random fields
Functional central limit theorem invariance principle i.i.d. random elds martingale-dierence random elds Orlicz spaces metric entropy self-normalization
2009/6/12
We investigate the invariance principle for set-indexed partial sums of a stationary field (X ) d of martingale-di?erence or independent random variables kk-Z under standard normalization or self-norm...
Acknowledgment of Priority: When Does a Randomly Weighted Self-normalized Sum Converge in Distribution? (Elect. Comm. in Probab. 10 (2005), 70--81)
Domain of attraction selfCnormalize sums regular variation
2009/4/27
Christian Houdre has kindly pointed us to a paper by A. Fuks, A. Joffe and J. Teugels, where their Theorem 5.3 is our Proposition 3 in the case 0
When Does a Randomly Weighted Self-normalized Sum Converge in Distribution?
Domain of attraction selfCnormalize sums regular variation
2009/4/24
We determine exactly when a certain randomly weighted, self--normalized sum converges in distribution, partially verifying a 1965 conjecture of Leo Breiman. We, then, apply our results to characterize...
When Does a Randomly Weighted Self-normalized Sum Converge in Distribution?
Weighted Self-normalized Sum Distribution
2009/4/7
We determine exactly when a certain randomly weighted, self--normalized sum converges in distribution, partially verifying a 1965 conjecture of Leo Breiman. We, then, apply our results to characterize...
Exponential bounds for multivariate self-normalized sums
non-parametric framework self-normalized sums random variables
2009/3/23
In a non-parametric framework, we establish some non-asymptotic bounds for self-normalized sums and quadratic forms in the multivariate case for symmetric and general random variables. This bounds are...
Exponential inequalities for self-normalized martingales with applications
Exponential inequalities martingales autoregressive processes branching processes
2010/4/30
We propose several exponential inequalities for self-normalized
martingales similar to those established by De la Pe˜na. The keystone
is the introduction of a new notion of random variable heav...