324 research outputs found
Nonparametric maximum likelihood approach to multiple change-point problems
In multiple change-point problems, different data segments often follow
different distributions, for which the changes may occur in the mean, scale or
the entire distribution from one segment to another. Without the need to know
the number of change-points in advance, we propose a nonparametric maximum
likelihood approach to detecting multiple change-points. Our method does not
impose any parametric assumption on the underlying distributions of the data
sequence, which is thus suitable for detection of any changes in the
distributions. The number of change-points is determined by the Bayesian
information criterion and the locations of the change-points can be estimated
via the dynamic programming algorithm and the use of the intrinsic order
structure of the likelihood function. Under some mild conditions, we show that
the new method provides consistent estimation with an optimal rate. We also
suggest a prescreening procedure to exclude most of the irrelevant points prior
to the implementation of the nonparametric likelihood method. Simulation
studies show that the proposed method has satisfactory performance of
identifying multiple change-points in terms of estimation accuracy and
computation time.Comment: Published in at http://dx.doi.org/10.1214/14-AOS1210 the Annals of
Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical
Statistics (http://www.imstat.org
Perelman's functionals on manifolds with non-isolated conical singularities
In this article, we define Perelman's functionals on manifolds with
non-isolated conical singularities by starting from a spectral point of view
for the Perelman's -functional. (Our definition of non-isolated
conical singularities includes isolated conical singularities.) We prove that
the spectrum of Schr\"odinger operator on manifolds with
non-isolated conical singularities consists of discrete eigenvalues with finite
multiplicities, provided that scalar curvatures of cross sections of cones have
a certain lower bound. This enables us to define the -functional on
these singular manifolds, and further, to prove that the infimum of
-functional is finite, with the help of some weighted Sobolev inequalities.
Furthermore, we obtain some asymptotic behavior of eigenfunctions and the
minimizer of the -functional near the singularity, and a more refined
optimal partial asymptotic expansion for eigenfunctions near isolated conical
singularities. We also study the spectrum of and Perelman's
functionals on manifolds with more general singularities, i.e. the
-horn singularities which serve as prototypes of algebraic
singularities.Comment: Sections are re-ordered, some proofs are simplified, some typos and
errors are corrected, revised version, 58 page
Compactness of sequences of warped product circles over spheres with nonnegative scalar curvature
Gromov and Sormani conjectured that a sequence of three dimensional
Riemannian manifolds with nonnegative scalar curvature and some additional
uniform geometric bounds should have a subsequence which converges in some
sense to a limit space with generalized notion of nonnegative scalar curvature.
In this paper, we study the pre-compactness of a sequence of three dimensional
warped product manifolds with warped circles over standard that
have nonnegative scalar curvature, a uniform upper bound on the volume, and a
positive uniform lower bound on the MinA, which is the minimum area of closed
minimal surfaces in the manifold. We prove that such a sequence has a
subsequence converging to a Riemannian metric for all , and
that the limit metric has nonnegative scalar curvature in the distributional
sense as defined by Lee-LeFloch.Comment: 50 page
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