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  • Variational Bayesian inference for parametric and nonparametric regression with missing data 
    Faes C.; Ormerod J.; Wand Matthew (American Statistical Association, 2011)
    Bayesian hierarchical models are attractive structures for conducting regression analyses when the data are subject to missingness. However, the requisite probability calculus is challenging and Monte Carlo methods typically ...
  • Walrasian equilibrium in matching models 
    Wooders John (Elsevier Science Bv, 1998)
    We analyze trading in a model in which the agents and their preferences are the same as in the main models of matching and bargaining, but in which trade is centralized rather than decentralized. We characterize equilibrium ...
  • Wavelet Analysis of The Cost-of-carry Model 
    Stevenson, M. J; Lin, S. (Massachusetts Institute of Technology Press, 2001)
    In this paper, it is shown how one can employ the wavelet analysis to reconstruct data based only on the subset of information that differentiates the twofundamentally related time series: spot and futures indices. Such ...
  • Weak discrete time approximation of stochastic differential equations with time delay 
    Platen Eckhard; Kuechler Uwe (Elsevier Science, 2001)
    This paper considers the derivation of weak discrete time approximations for solutions of stochastic differential equations with time delay. These are suitable for Monte Carlo simulation and allow the computation of ...
  • Weakly Symmetric Graphs, Elementary Landscapes, and the TSP 
    Barnes J; Solomon Andrew; Acevedo Rudy; Dokov Stefcho (Elsevier, 2003)
    Weakly symmetric graphs are defined and their construction from symmetric graphs is explained. It is shown that the TSP on a weakly symmetric graph joined with each of a number of well-known local search neighbourhoods ...