搜索结果: 1-11 共查到“理论统计学 p-variation”相关记录11条 . 查询时间(0.125 秒)
Quantitative bounds for Markov chain convergence: Wasserstein and total variation distances
convergence rate coupling Gibbs sampler iterated random functions local
2011/3/24
We present a framework for obtaining explicit bounds on the rate of convergence to equilibrium of a Markov chain on a general state space, with respect to both total variation and Wasserstein distance...
Coarse-grained modeling of multiscale diffusions：the p-variation estimates
parameter estimation multiscale diffusions p-variation Ornstein-Uhlenbeck
2010/3/10
We study the problem of estimating parameters of the limiting equation
of a multiscale diffusion in the case of averaging and homogenization, given
data from the corresponding multiscale system. Fir...
Hidden Regular Variation:Detection and Estimation
Regular variation vague convergence weak convergence spectral measure risk sets
2010/3/9
Hidden regular variation defines a subfamily of distributions satisfying multivariate
regular variation on E = [0,1]d\{(0, 0, · · · , 0)} and models another regular variation on the sub-cone E(2) = E...
On the almost sure convergence of the square variation of the Brownian motion
the almost sure convergence the square variation the Brownian motion
2009/9/24
On the almost sure convergence of the square variation of the Brownian motion。
A representation theorem for continuous additive functionals of zero quadratic variation
A representation theorem continuous additive functionals zero quadratic variation
2009/9/22
We study continuous additive functionals of zero
quadratic variation of strong Markov continuous local martingales by
means of stochastic calculus. We show that they admit a representation
as a sto...
A central limit theorem for strictly stationary sequences in terms of slow variation in the limit
A central limit theorem strictly stationary sequences terms of slow variation
2009/9/22
For strictly stationary random sequences satisfying the
"minimal" dependence condition, necessary and sufficient conditions
for the weak convergence to the normal law in terms of slow variation
in ...
CONVERGENCE IN VARIATION OF THE JOINT LAWS OF MULTIPLE STABLE STOCHASTIC INTEGRALS
Convergence in variation multiple stochastic integrals stable process LePage representation
2009/9/18
In this note, we are interested in the regularity in the sense
of total variation of the joint laws of multiple stable stochastic integrals.
Namely, we show that the convergence
L
Id1 ...
A recent theorem by M. Manstavicius (2004) provided a link between a certain function of transition probabilities of a strong Markov process and the boundedness of the p-variation of its trajectories....
A Non-Markovian Process with Unbounded p-Variation
theorem Non-Markovian Process p-Variation
2009/4/7
A recent theorem by M. Manstavicius (2004) provided a link between a certain function of transition probabilities of a strong Markov process and the boundedness of the p-variation of its trajectories....
A Lower Bound on Arbitrary f--Divergences in Terms of the Total Variation
Lower Bound Arbitrary f--Divergences Total Variation
2010/3/19
An important tool to quantify the likeness of two probability measures
are f–divergences, which have seen widespread application in statistics
and information theory. An example is the total variati...
Multivariate regular variation of heavy-tailed Markov chains
autoregressive conditional heteroskedasticity extremevalue distribution Markov chain multivariate regular variation
2010/4/26
The upper extremes of a Markov chain with regulary varying stationary
marginal distribution are known to exhibit under general conditions
a multiplicative random walk structure called the tail chain...