نتایج جستجو برای: karaj metropolis

تعداد نتایج: 7760  

2014
Fatemeh Zare Shahneh Samira Valiyari Abbas Azadmehr Reza Hajiaghaee Ali Bandehagh Behzad Baradaran

Fatemeh Zare Shahneh*, Samira Valiyari , Abbas Azadmehr, Reza Hajiaghaee, Ali Bandehagh, Behzad Baradaran Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran Department of Medical Biotechnology, Pasteur Institute of Iran, Tehran, Iran Department of Immunology, Qazvin University of Medical Sciences, Qazvin, Iran Pharmacognosy and Pharmaceutics, Department of Medicinal...

2014
Maryam Ehsani Mahmood Amin Marashi Ebrahim Zabihi Maryam Issazadeh Soraya Khafri

1. Dental Materials Research Center, School of Dentistry, Babol University of Medical Sciences, Babol, Iran. 2. Department of Bacteriology and Virology, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran. 3. Cellular and Molecular Biology Research Center (CMBRC), Babol University of Medical Sciences, Babol, Iran. 4. Department of Pharmacology & Physiology, School of Medicine...

2017

Banai· I§, M., Pourbakhsh, S.A.,I Ezzi, A.,2 Ardehali, M. and Jannati, M. §: [email protected] 1. Al'illn Diseus".'· Re.H:ur,·h & Diuf{nosis Depi., Ruzi Voccine und SerI/ni Research In.1. Tehran. Iran 2. PatholoK)' Dep/.. Ruzi 1n.\'Iitllte 3. Anearohie Bacterial Vuccinf!s Rewarcl! & Prodllction Dept .. Razi Imtitue -1. Veterinary Fael/lty. Azud University, Karaj, Ira...

2013
Mylène Bédard Matei Mireuta

In an attempt to improve on the Metropolis algorithm, various MCMC methods involving pools of proposals, such as the multiple-try Metropolis and delayed rejection strategies, have been proposed. These methods generate several candidates in a single iteration; accordingly they are computationally more intensive than the Metropolis algorithm. In this paper, we consider three samplers with pools o...

2005
Alexei Bazavov Bernd A. Berg

It is illustrated for 4D SU(2) lattice gauge theory that sampling with a biased Metropolis scheme is essentially equivalent to using the heatbath algorithm. Only, the biased Metropolis method can also be applied when an efficient heatbath algorithm does not exist. Other cases for which the use of the biased Metropolis-heatbath algorithm is beneficial are briefly summarized.

2016
Kourosh Kabir Asghar Mohammadpoorasl Razie Esmaeelpour Fatemeh Aghazamani Fatemeh Rostami

BACKGROUND It is clear that tobacco smoking and substance abuse have negative consequences on adolescent and youth's health. Tobacco smoking especially hookah smoking has increased worldwide especially among university students. This study aimed to determine the prevalence of risk-taking behaviors such as cigarette smoking, hookah smoking, alcohol use, and drug abuse and its predictors in stude...

Journal: :Advanced Robotics 2014
Ali Mahmoodi Amir Sayadi Mohammad Bagher Menhaj

Solution of forward kinematics in Stewart platform using six rotary sensors on joints of three legs A. Mahmoodi, A. Sayadi & Mohammad B. Menhaj a Department of Aerospace Engineering, Center of Excellence for Design and Simulation of Space Systems (DSSS), KNTU University of Technology, Vafadar Ave. Tehranpars., Tehran, Iran b Department of Mechanical Engineering, Azad Islamic University, Karaj B...

2008
Gareth O. Roberts Jeffrey S. Rosenthal

We investigate the use of adaptive MCMC algorithms to automatically tune the Markov chain parameters during a run. Examples include the Adaptive Metropolis (AM) multivariate algorithm of Haario et al. (2001), Metropolis-within-Gibbs algorithms for non-conjugate hierarchical models, regionally adjusted Metropolis algorithms, and logarithmic scalings. Computer simulations indicate that the algori...

2009
Gareth O. Roberts Jeffrey S. Rosenthal

We investigate the use of adaptive MCMC algorithms to automatically tune the Markov chain parameters during a run. Examples include the Adaptive Metropolis (AM) multivariate algorithm of Haario et al. (2001), Metropolis-within-Gibbs algorithms for non-conjugate hierarchical models, regionally adjusted Metropolis algorithms, and logarithmic scalings. Computer simulations indicate that the algori...

Journal: :Statistics and Computing 2007
Radu V. Craiu Christiane Lemieux

The Multiple-Try Metropolis is a recent extension of the Metropolis algorithm in which the next state of the chain is selected among a set of proposals. We propose a modification of the Multiple-Try Metropolis algorithm which allows for the use of correlated proposals, particularly antithetic and stratified proposals. The method is particularly useful for random walk Metropolis in high dimensio...

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