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Search Results: 1 - 10 of 405930 matches for " M. Guan "
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Geochronological constraints on formation of the Fuping Complex
H. Guan,M. Sun
Chinese Science Bulletin , 1998, DOI: 10.1007/BF02891440
Abstract:
Small-world MCMC and convergence to multi-modal distributions: From slow mixing to fast mixing
Yongtao Guan,Stephen M. Krone
Mathematics , 2007, DOI: 10.1214/105051606000000772
Abstract: We compare convergence rates of Metropolis--Hastings chains to multi-modal target distributions when the proposal distributions can be of ``local'' and ``small world'' type. In particular, we show that by adding occasional long-range jumps to a given local proposal distribution, one can turn a chain that is ``slowly mixing'' (in the complexity of the problem) into a chain that is ``rapidly mixing.'' To do this, we obtain spectral gap estimates via a new state decomposition theorem and apply an isoperimetric inequality for log-concave probability measures. We discuss potential applicability of our result to Metropolis-coupled Markov chain Monte Carlo schemes.
On the global solvability of a class of fourth-order nonlinear boundary value problems
M. B. M. Elgindi,Zhengyuan Guan
International Journal of Mathematics and Mathematical Sciences , 1997, DOI: 10.1155/s0161171297000343
Abstract: This paper is concerned with the global solvability of a class of fourth-order nonlinear boundary value problems that govern the deformation of an elastic beam which is acted upon by axial compression, lateral forces and is in contact with a semi-infinite medium acting as a foundation For certain ranges of the acting axial compression force, the solvability of the equations follows from the coercivity of their linear parts. Beyond these ranges this coercivity is lost. It is shown here that the coercivity which ensures the global solvability can be generated by the nonlinear parts of the equations for a certain type of foundation.
Adaptive Motion Segmentation for Changing Background  [PDF]
Yepeng Guan
Journal of Software Engineering and Applications (JSEA) , 2009, DOI: 10.4236/jsea.2009.22014
Abstract: Segmentation of moving objects efficiently from video sequence is very important for many applications. Background subtraction is a common method typically used to segment moving objects in image sequences taken from a statistic camera. Some existing algorithms cannot adapt to changing circumstances and require manual calibration in terms of specification of parameters or some hypotheses for changing background. An adaptive motion segmentation method is developed according to motion variation and chromatic characteristics, which prevents undesired corruption of the background model and does not consider the adaptation coefficient. RGB color space is selected instead of introducing complex color models to segment moving objects and suppress shadows. A color ratio for 4-connected neighbors of a pixel and multi-scale wavelet transformation are combined to suppress shadows. The mentioned approach is scene-independent and high correct segmentation. It has been shown that the approach is robust and efficient to detect moving objects by experiments.
Moved Score Confidence Intervals for Means of Discrete Distributions  [PDF]
Yu Guan
Open Journal of Statistics (OJS) , 2011, DOI: 10.4236/ojs.2011.12009
Abstract: Let X denote a discrete distribution as Poisson, binomial or negative binomial variable. The score confidence interval for the mean of X is obtained based on inverting the hypothesis test and the central limit theorem is discussed and recommended widely. But it has sharp downward spikes for small means. This paper proposes to move the score interval left a little (about 0.04 unit), called by moved score confidence interval. Numerical computation and Edgeworth expansion show that the moved score interval is analogous to the score interval completely and behaves better for moderate means; for small means the moved interval raises the infimum of the coverage probability and improves the sharp spikes significantly. Especially, it has unified explicit formulations to compute easily.
Ethnic Difference of Disease Prevalence in Rural China: Examples and Explanations  [PDF]
Ming Guan
Health (Health) , 2015, DOI: 10.4236/health.2015.74052
Abstract: Ethnic difference of disease prevalence has attracted great attentions in recent years in China, but few researches have summarized analysis available on ethnic difference of disease prevalence in rural China. The PubMed Central, Wiley Inter science, Science direct, Biomed central, CNKI and Springer-link were searched to identify studies published between January 1984 and October 2014 on ethnic inequality of health status in rural China. Distinct ethnic differences of disease prevalence exist in rural China. Results across disciplines put different explanations on the ethnic differences from ethnicity, infant feeding, and inequality in maternal health services utilization angles. The ethnic inequality of health status in rural China can be reduced by policy makers to allocate more resources towards health service in ethnic rural China.
A Strong Law of Large Numbers for Set-Valued Random Variables in Gα Space  [PDF]
Guan Li
Journal of Applied Mathematics and Physics (JAMP) , 2015, DOI: 10.4236/jamp.2015.37097
Abstract:

In this paper, we shall represent a strong law of large numbers (SLLN) for weighted sums of set- valued random variables in the sense of the Hausdorff metric dH, based on the result of single-valued random variable obtained by Taylor [1].

Study on Relativity between China’s Nominal GDP and the Shanghai Securities Composite Index  [PDF]
Dahong Guan
Journal of Service Science and Management (JSSM) , 2018, DOI: 10.4236/jssm.2018.115036
Abstract: By implementing X-11 process to eliminate the seasonal effect from the data of nominal GDP and Shanghai Securities Composite Index from 1996 to 2015, conducting co-integration test and Granger causality test on these processed data, and examining the leading characteristics of the securities index with the Lag regression model, the present thesis finally conducts a detailed analysis of the research results and puts forward some policy recommendations. The study suggests that there is a stable positive-correlating long-term relationship between Shanghai securities composite index and nominal GDP, the former being the Grainger causes for the latter, which mainly arises from the improvement in the institution of the stock market and the larger ratio of the stock market capitalization to that of nominal GDP. In addition, the increasing liquidity of long-term stock market and investors’ speculation to the stock market based on the national macro-control policies also elucidated the inherent property of Shanghai Composite Index as a leading indicator of Chinese Nominal GDP in the results presented.
Research on the Contribution of Female Human Capital in Economic Growth in Guangdong Province  [PDF]
Langhua Guan
Modern Economy (ME) , 2019, DOI: 10.4236/me.2019.104087
Abstract:

This paper uses the statistical data from 1997 to 2015 to calculate the female human capital stock in Guangdong Province, and empirically analyzes the contribution rate of female human capital to Guangdong’s output and its comparison with men. At the same time, it empirically analyzes the contribution of female human capital stocks at different levels to Guangdong’s economic growth, studies the correlation between women’s education levels and economic growth, and examines the differences in the impact of male and female human capital on economic growth. The research results show that female human capital is an important factor affecting Guangdong’s economic growth. Male human capital has a greater impact than female human capital. Female human capital at different educational levels has different effects on economic growth. In order to promote economic and social development, we should increase the awareness of gender equality and strengthen the attention and investment in women’s human capital.

Generalized exclusion statistics and degenerate signature of strongly interacting anyons
M T Batchelor,X W Guan
Physics , 2006, DOI: 10.1103/PhysRevB.74.195121
Abstract: We show that below the degenerate temperature the distribution profiles of strongly interacting anyons in one dimension coincide with the most probable distributions of ideal particles obeying generalized exclusion statistics (GES). In the strongly interacting regime the thermodynamics and the local two-particle correlation function derived from the GES are seen to agree for low temperatures with the results derived for the anyon model using the thermodynamic Bethe Ansatz. The anyonic and dynamical interactions implement a continuous range of GES, providing a signature of strongly interacting anyons, including the strongly interacting one-dimensional Bose gas.
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