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  • Balogh, Zoltan; Engulatov, Alexandre; Hunziker, Lars; Maasalo, Outi (Springer, 2012)
    We study the connection between the p-Talagrand inequality and the q-logarithmic Sololev inequality for conjugate exponents p >= 2, q <= 2 in proper geodesic metric spaces. By means of a general Hamilton-Jacobi semigroup ...
  • Lam, Hak-Keung; Ling, Steve; Leung, Frank; Tam, P K S (Elsevier Science Inc, 2004)
    This paper presents the estimation of the transmission gains for an AC power line data network in an intelligent home. The estimated gains ensure the transmission reliability and efficiency. A neural-fuzzy network with ...
  • Stark, Paul; Celedon, Juan; Chew, Ginger; Ryan, Louise; Burge, Harriet; Muilenberg, Michael; Gold, Diane (U.S. Department of Health and Human Services * National Institute of Environmental Health Sciences, 2005)
    Studies have repeatedly demonstrated that sensitization to fungi, such as Alternaria, is strongly associated with allergic rhinitis and asthma in children. However, the role of exposure to fungi in the development of ...
  • Stark, P.; Burge, H.; Ryan, Louise; Milton, D.; Gold, D. (American Thoracic Society, 2003)
    The association between home dampness and lower respiratory symptoms in children has been well documented. Whether fungal exposures contribute to this association is uncertain. In a prospective birth cohort of 499 children ...
  • Wang, Duo; Zheng, Min; Peng, Jianping (World Scientific, 2008)
    Further reduction for classical normal forms of formal maps is considered in this note. Based on a recursive formula for computing the transformed map of a formal map under a near identity formal transformation, we develop ...
  • Wang, Duo; Zheng, Min; Peng, Jianping (Elsevier, 2006)
    Further reduction for classical normal forms of formal maps is considered in this note. Based on a recursive formula for computing the transformed map of a formal map under a near identity formal transformation, we develop ...
  • Zhang, Guangquan; Lu, Jie (Springer, 2010)
    Classic bilevel programming deals with two level hierarchical optimization problems in which the leader attempts to optimize his/her objective, subject to a set of constraints and his/her followera??s solution. In modelling ...
  • Ma, Jun; Chen, Shuwei; Xu, Yang (Elsevier, 2006)
    n this paper, we present our opinions on fuzzy logic from the viewpoint of machine intelligence. Firstly, we analyze characteristics of fuzzy logic that are adapted to the study of machine intelligence. Secondly, we present ...
  • Ma, Jun; Ruan, Da; Xu, Yang; Zhang, Guangquan (Elsevier Inc, 2007)
    A fuzzy-set-based approach is presented to describe linguistic information in multi-criteria decision making. After having introduced concepts of determinacy and consistency of linguistic terms, the understandable degree ...
  • Engel, Andrew; Szidarovszky, Ferenc; Chiarella, Carl (Pergamon-Elsevier Science Ltd, 2003)
  • Ormerod J.; Wand Matthew (American Statistical Association, 2011)
    Variational approximation methods have become a mainstay of contemporary machine learning methodology, but currently have little presence in statistics. We devise an effective variational approximation strategy for fitting ...
  • Ormerod, John; Wand, Matt (Amer Statistical Assoc, 2012)
    Variational approximation methods have become a mainstay of contemporary machine learning methodology, but currently have little presence in statistics. We devise an effective variational approximation strategy for fitting ...
  • Christensen, Morten; Platen, Eckhard (Taylor & Francis Inc, 2005)
    Under few technical assumptions and allowing for the absence of an equivalent martingale measure, we show how to price and hedge in a sequence of incomplete markets driven by Wiener noise and a marked point process. We ...
  • Zhao, Yihao; Staudenmayer, John; Coull, B.; Wand, Matt (The Institute of Mathematical Statistics, 2006)
    Linear mixed models are able to handle an extraordinary range of complications in regression-type analyses. Their most common use is to account for within-subject correlation in longitudinal data analysis. They are also ...
  • Zanobetti, A.; Schwartz, J; Ryan, Louise; Wand, Matt (Oxford University Press, 2000)
  • Neville, Sharon; Palmer, M.J.; Wand, Matt (Blackwell Publishing Ltd, 2011)
    We develop Mean Field Variational Bayes methodology for fast approximate inference in Bayesian Generalized Extreme Value additive model analysis. Such models are useful for flexibly assessing the impact of continuous ...
  • Carroll, R.; Fan, Jianqing; Gijbels, Irene; Wand, Matt (American Statistical Association, 1997)
    A semiparametric version of the generalized linear model for regression response was developed by replacing the linear combination with nonparametric components. The generalized partially linear single-index models were ...
  • Bosch, Ronald; Ryan, Louise (Elsevier Science Bv, 1998)
    We develop a family of distributions which allow for over- and underdispersion relative to the Poisson. This latter feature is particularly appealing since many existing methods only allow for overdispersion. These ...
  • Chen, Yen-Ching; Xu, Lilian; Guo, Yu-Liang; Su, Huey-Jen; Hsueh, Yu-Mei; Smith, Thomas; Ryan, Louise; Lee, Meei-Shyuan; Chaor, Sheau-Chiou; Lee, Julia; Christiani, David (Marcel Dekker, Inc., 2003)
    The Pro/Pro polymorphism of p53 codon 72 has been reported to be related to bladder and lung cancer, but its relationship with skin cancer is unclear. We assessed the hypothesis that there is a relationship between the p53 ...
  • Miyahara, Yoshio; Novikov, Alex (MAIK Nauka/Interperiod, 2002)