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Deep learning approaches for quantitative and qualitative assessment of cervical vertebral maturation staging systems. [PDF]
PLoS OneAbdulqader AA +6 more
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Assess the efficacy of China's Inter-provincial Government Services policy: A quantitative evaluation based on PMC-Index model. [PDF]
PLoS OneGeng RQ, Wu J.
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Communications in Algebra, 2010
We give conditions on the coefficients of a polynomial p(x) so that p(x + t) be log-concave or strictly log-concave. Several applications are given: if p(x) is a polynomial with nonnegative and nondecreasing coefficients, then p(x + t) is strictly log-concave for all t ≥ 1; for any polynomial p(x) with positive leading coefficient, there is t 0 ≥ 0 ...
Aurora Llamas, José Martínez-Bernal
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We give conditions on the coefficients of a polynomial p(x) so that p(x + t) be log-concave or strictly log-concave. Several applications are given: if p(x) is a polynomial with nonnegative and nondecreasing coefficients, then p(x + t) is strictly log-concave for all t ≥ 1; for any polynomial p(x) with positive leading coefficient, there is t 0 ≥ 0 ...
Aurora Llamas, José Martínez-Bernal
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PROJECTIONS OF LOG-CONCAVE FUNCTIONS
Communications in Contemporary Mathematics, 2012Recently, it has been proven in [V. Milman, A. Segal and B. Slomka, A characterization of duality through section/projection correspondence in the finite dimensional setting, J. Funct. Anal. 261(11) (2011) 3366–3389] that the well-known duality mapping on the class of closed convex sets in ℝncontaining the origin is the only operation, up to obvious ...
Segal, Alexander, Slomka, Boaz A.
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r-log-concavity of partition functions
The Ramanujan Journal, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qing-Hu Hou, Zuo-Ru Zhang
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PRESERVATION OF LOG-CONCAVITY UNDER CONVOLUTION
Probability in the Engineering and Informational Sciences, 2017Log-concave random variables and their various properties play an increasingly important role in probability, statistics, and other fields. For a distribution F, denote by 𝒟F the set of distributions G such that the convolution of F and G has a log-concave probability mass function or probability density function.
Mao, Tiantian, Xia, Wanwan, Hu, Taizhong
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