25,949 research outputs found
Exclusive decay of into
We study the exclusive decay into double charmonium, specifically,
the -wave charmonium plus the -wave charmonium
in the NRQCD factorization framework. Three distinct decay mechanisms, i.e.,
the strong, electromagnetic and radiative decay channels are included and their
interference effects are investigated. The decay processes
are predicted to have the branching
fractions of order , which should be observed in the prospective Super
factory.Comment: 22 pages, 9 figures, 3 table
Estimation in semi-parametric regression with non-stationary regressors
In this paper, we consider a partially linear model of the form
, , where is a
null recurrent Markov chain, is a sequence of either strictly
stationary or non-stationary regressors and is a stationary
sequence. We propose to estimate both and by a
semi-parametric least-squares (SLS) estimation method. Under certain
conditions, we then show that the proposed SLS estimator of is still
asymptotically normal with the same rate as for the case of stationary time
series. In addition, we also establish an asymptotic distribution for the
nonparametric estimator of the function . Some numerical examples are
provided to show that our theory and estimation method work well in practice.Comment: Published in at http://dx.doi.org/10.3150/10-BEJ344 the Bernoulli
(http://isi.cbs.nl/bernoulli/) by the International Statistical
Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm
Optimal Estimation of a Classical Force with a Damped Oscillator in the non-Markovian Bath
We solve the optimal quantum limit of probing a classical force exactly by a
damped oscillator initially prepared in the factorized squeezed state. The
memory effects of the thermal bath on the oscillator evolution are
investigated. We show that the optimal force sensitivity obtained by the
quantum estimation theory approaches to zero for the non-Markovian bath,
whereas approaches to a finite non-zero value for the Markovian bath as the
energy of the damped oscillator goes to infinity.Comment: 5 pages, 4 figure
Semiparametric Trending Panel Data Models with Cross-Sectional Dependence
A semiparametric fixed effects model is introduced to describe the nonlinear trending phenomenon in panel data analysis and it allows for the cross-sectional dependence in both the regressors and the residuals. A semiparametric profile likelihood approach based on the first-stage local linear fitting is developed to estimate both the parameter vector and the time trend function.cross-sectional dependence, nonlinear time trend, panel data, profile likelihood, semiparametric regression
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