559 research outputs found
Uniqueness for the signature of a path of bounded variation and the reduced path group
We introduce the notions of tree-like path and tree-like equivalence between
paths and prove that the latter is an equivalence relation for paths of finite
length. We show that the equivalence classes form a group with some similarity
to a free group, and that in each class there is one special tree reduced path.
The set of these paths is the Reduced Path Group. It is a continuous analogue
to the group of reduced words. The signature of the path is a power series
whose coefficients are definite iterated integrals of the path. We identify the
paths with trivial signature as the tree-like paths, and prove that two paths
are in tree-like equivalence if and only if they have the same signature. In
this way, we extend Chen's theorems on the uniqueness of the sequence of
iterated integrals associated with a piecewise regular path to finite length
paths and identify the appropriate extended meaning for reparameterisation in
the general setting. It is suggestive to think of this result as a
non-commutative analogue of the result that integrable functions on the circle
are determined, up to Lebesgue null sets, by their Fourier coefficients. As a
second theme we give quantitative versions of Chen's theorem in the case of
lattice paths and paths with continuous derivative, and as a corollary derive
results on the triviality of exponential products in the tensor algebra.Comment: 52 pages - considerably extended and revised version of the previous
version of the pape
Bi-log-concave distribution functions
Nonparametric statistics for distribution functions F or densities f=F' under
qualitative shape constraints provides an interesting alternative to classical
parametric or entirely nonparametric approaches. We contribute to this area by
considering a new shape constraint: F is said to be bi-log-concave, if both
log(F) and log(1 - F) are concave. Many commonly considered distributions are
compatible with this constraint. For instance, any c.d.f. F with log-concave
density f = F' is bi-log-concave. But in contrast to the latter constraint,
bi-log-concavity allows for multimodal densities. We provide various
characterizations. It is shown that combining any nonparametric confidence band
for F with the new shape-constraint leads to substantial improvements,
particularly in the tails. To pinpoint this, we show that these confidence
bands imply non-trivial confidence bounds for arbitrary moments and the moment
generating function of F
An Edgeworth expansion for finite population L-statistics
In this paper, we consider the one-term Edgeworth expansion for finite
population L-statistics. We provide an explicit formula for the Edgeworth
correction term and give sufficient conditions for the validity of the
expansion which are expressed in terms of the weight function that defines the
statistics and moment conditions.Comment: 14 pages. Minor revisions. Some explanatory comments and a numerical
example were added. Lith. Math. J. (to appear
Inconsistency of the MLE for the joint distribution of interval censored survival times and continuous marks
This paper considers the nonparametric maximum likelihood estimator (MLE) for
the joint distribution function of an interval censored survival time and a
continuous mark variable. We provide a new explicit formula for the MLE in this
problem. We use this formula and the mark specific cumulative hazard function
of Huang and Louis (1998) to obtain the almost sure limit of the MLE. This
result leads to necessary and sufficient conditions for consistency of the MLE
which imply that the MLE is inconsistent in general. We show that the
inconsistency can be repaired by discretizing the marks. Our theoretical
results are supported by simulations.Comment: 27 pages, 4 figure
Strong Approximation of Empirical Copula Processes by Gaussian Processes
We provide the strong approximation of empirical copula processes by a
Gaussian process. In addition we establish a strong approximation of the
smoothed empirical copula processes and a law of iterated logarithm
Random walks - a sequential approach
In this paper sequential monitoring schemes to detect nonparametric drifts
are studied for the random walk case. The procedure is based on a kernel
smoother. As a by-product we obtain the asymptotics of the Nadaraya-Watson
estimator and its as- sociated sequential partial sum process under
non-standard sampling. The asymptotic behavior differs substantially from the
stationary situation, if there is a unit root (random walk component). To
obtain meaningful asymptotic results we consider local nonpara- metric
alternatives for the drift component. It turns out that the rate of convergence
at which the drift vanishes determines whether the asymptotic properties of the
monitoring procedure are determined by a deterministic or random function.
Further, we provide a theoretical result about the optimal kernel for a given
alternative
Probing Loop Quantum Gravity with Evaporating Black Holes
This letter aims at showing that the observation of evaporating black holes
should allow distinguishing between the usual Hawking behavior and Loop Quantum
Gravity (LQG) expectations. We present a full Monte-Carlo simulation of the
evaporation in LQG and statistical tests that discriminate between competing
models. We conclude that contrarily to what was commonly thought, the
discreteness of the area in LQG leads to characteristic features that qualify
evaporating black holes as objects that could reveal quantum gravity
footprints.Comment: 5 pages, 3 figures. Version accpeted by Phys. Rev. Let
Dispesion measures and dispersive orders
In this paper, the comparison of random variables according to the functionals of a general class of dispersion measures is characterized in terms of the dilation order. The Gini's mean difference is a particular member of this general class. In addition, a new and weaker order, called the second-order absolute Lorenz ordering, is introduced, and we judge random variables according to certain functionals of this class when the dilation order is not available
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