88,627 research outputs found
Interiors of completely positive cones
A symmetric matrix is completely positive (CP) if there exists an
entrywise nonnegative matrix such that . We characterize the
interior of the CP cone. A semidefinite algorithm is proposed for checking
interiors of the CP cone, and its properties are studied. A CP-decomposition of
a matrix in Dickinson's form can be obtained if it is an interior of the CP
cone. Some computational experiments are also presented
Star clusters in M33: updated UBVRI photometry, ages, metallicities, and masses
The photometric characterization of M33 star clusters is far from complete.
In this paper, we present homogeneous photometry of 708 star clusters
and cluster candidates in M33 based on archival images from the Local Group
Galaxies Survey, which covers 0.8 deg along the galaxy's major axis. Our
photometry includes 387, 563, 616, 580, and 478 objects in the bands,
respectively, of which 276, 405, 430, 457, and 363 do not have previously
published photometry. Our photometry is consistent with previous
measurements (where available) in all filters. We adopted Sloan Digital Sky
Survey photometry for complementary purposes, as well as Two Micron
All-Sky Survey near-infrared photometry where available. We fitted the
spectral-energy distributions of 671 star clusters and candidates to derive
their ages, metallicities, and masses based on the updated {\sc parsec} simple
stellar populations synthesis models. The results of our minimization
routines show that only 205 of the 671 clusters () are older than 2 Gyr,
which represents a much smaller fraction of the cluster population than that in
M31 (), suggesting that M33 is dominated by young star clusters (
Gyr). We investigate the mass distributions of the star clusters---both open
and globular clusters---in M33, M31, the Milky Way, and the Large Magellanic
Cloud. Their mean values are , 5.43, 2.72, and
4.18, respectively. The fraction of open to globular clusters is highest in the
Milky Way and lowest in M31. Our comparisons of the cluster ages, masses, and
metallicities show that our results are basically in agreement with previous
studies (where objects in common are available); differences can be traced back
to differences in the models adopted, the fitting methods used, and stochastic
sampling effects.Comment: 32 pages, 12 figures, 2 tables, accepted for publication in ApJ
Hazard models with varying coefficients for multivariate failure time data
Statistical estimation and inference for marginal hazard models with varying
coefficients for multivariate failure time data are important subjects in
survival analysis. A local pseudo-partial likelihood procedure is proposed for
estimating the unknown coefficient functions. A weighted average estimator is
also proposed in an attempt to improve the efficiency of the estimator. The
consistency and asymptotic normality of the proposed estimators are established
and standard error formulas for the estimated coefficients are derived and
empirically tested. To reduce the computational burden of the maximum local
pseudo-partial likelihood estimator, a simple and useful one-step estimator is
proposed. Statistical properties of the one-step estimator are established and
simulation studies are conducted to compare the performance of the one-step
estimator to that of the maximum local pseudo-partial likelihood estimator. The
results show that the one-step estimator can save computational cost without
compromising performance both asymptotically and empirically and that an
optimal weighted average estimator is more efficient than the maximum local
pseudo-partial likelihood estimator. A data set from the Busselton Population
Health Surveys is analyzed to illustrate our proposed methodology.Comment: Published at http://dx.doi.org/10.1214/009053606000001145 in the
Annals of Statistics (http://www.imstat.org/aos/) by the Institute of
Mathematical Statistics (http://www.imstat.org
The balanced Voronoi formulas for GL(n)
In this paper we show how the GL(N) Voronoi summation formula of [MiSc2] can
be rewritten to incorporate hyper-Kloosterman sums of various dimensions on
both sides. This generalizes a formula for GL(4) with ordinary Kloosterman sums
on both sides that was considered by Xiaoqing Li and the first-named author,
and later by the second-named author in [Zho]
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