نتایج جستجو برای: iyengar madhava rao nanjundiah inequality

تعداد نتایج: 63911  

2014
Rodney Tiffen Paul K. Jones David Rowe Toril Aalberg Sharon Coen James Curran Kaori Hayashi Shanto Iyengar Gianpietro Mazzoleni Stylianos Papathanassopoulos Hernando Rojas Stuart Soroka

Sources in the News Rodney Tiffen, Paul K. Jones, David Rowe, Toril Aalberg, Sharon Coen, James Curran, Kaori Hayashi, Shanto Iyengar, Gianpietro Mazzoleni, Stylianos Papathanassopoulos, Hernando Rojas & Stuart Soroka To cite this article: Rodney Tiffen, Paul K. Jones, David Rowe, Toril Aalberg, Sharon Coen, James Curran, Kaori Hayashi, Shanto Iyengar, Gianpietro Mazzoleni, Stylianos Papathanas...

Journal: :Canadian HIV/AIDS policy & law review 2000
G R Gupta

The focus of Geeta Rao Gupta's plenary presentation of 12 July 2000 at the XIII International AIDS Conference is on the what, why, and how of gender, sexuality, and HIV/AIDS. Dr Rao Gupta discusses the factors associated with women's vulnerability to HIV; and the ways in which unequal power balance in gender relations increases not only women's, but also men's, vulnerability to HIV-despite, or ...

1942
Walter Fabisch H. J. Hamburger

Subject of the study.?A good many surveys of physical conditions and health in Indian children have been carried out (Aykroyd and Rajagopal, 1936; Aykroyd, Madhava and Rajagopal, 1938; Chatterjee, 1938; Mitra, 1939; Singh, 1939; Shourie, 1939; Wilson, 1939; Wilson and Mitra, 1938). However, the population of India is so heterogenous that it may be of value to add, to the surveys already carried...

2009

Csisz ar's f -divergence of two probability distributions was extended to the quantum case by the author in 1985. In the quantum setting positive semide nite matrices are in the place of probability distributions and the quantum generalization is called quasi-entropy which is related to some other important concepts as covariance, quadratic costs, Fisher information, Cram er-Rao inequality and ...

2004
Yves F. Atchadé François Perron

This paper proposes methods to improve Monte Carlo estimates when the Independent MetropolisHastings Algorithm (IMHA) is used. Our rst approach uses a control variate based on the sample generated by the proposal distribution. We derive the variance of our estimator for a xed sample size n and show that, as n tends to in nity, this variance is asymptotically smaller than the one obtained with t...

2004
MICHAEL D. ZOLTOWSKI

The efficiency of the MLE is demonstrated indirectly by using the following theorem. Theorem [7, p. ZSS]: If an estimator exists such that equality is satisfied in the Cramer-Rao inequality, it can be determined as a solution of the maximum likelihood equation. We will show that such an estimator exists. This implies that the covariance matrix of the MLE is given by the inverse of the Fisher in...

Journal: :CoRR 2016
Thomas Rothvoss

One of the landmarks in approximation algorithms is theO( √ logn)-approximation algorithm for theUniform Sparsest Cut problem by Arora, Rao and Vazirani from 2004. The algorithm is based on a semidefinite program that finds an embedding of the nodes respecting the triangle inequality. Their core argument shows that a randomhyperplane approachwill find two large sets ofΘ(n)many nodes each that h...

2004
Masahiro Hotta Masanao Ozawa

Quantum estimation theory provides optimal observations for various estimation problems for unknown parameters in the state of the system under investigation. However, the theory has been developed under the assumption that every observable is available for experimenters. Here, we generalize the theory to problems in which the experimenter can use only locally accessible observables. For such p...

Journal: :Physical review letters 1996
Van den Broeck C Reimann

We study both on-line and oo-line learning in the following unsupervised learning scheme: p patterns are sampled independently from a distribution on the N-sphere with a single symmetry breaking orientation. Exact results are obtained in the limit p ! 1 and N ! 1 with nite ratio p=N. One nds that for smooth pattern distributions, the asymptotic behavior of the optimal oo-line and on-line learni...

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