Statistics and Computing, Volume 14

Volume 14, Number 1, January 2004

• Pierre L'Ecuyer, Renée Touzin:
  On the Deng-Lin random number generators and related methods. 5-9
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• Paul Fearnhead:
  Particle filters for mixture models with an unknown number of components. 11-21
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• Paul Gustafson, Ying C. MacNab, Sijin Wen:
  On the Value of derivative evaluations and random walk suppression in Markov Chain Monte Carlo algorithms. 23-38
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• Nickolay T. Trendafilov, G. A. Watson:
  The l1 oblique procrustes problem. 39-51
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• John T. Kent, Patrick D. L. Constable, Fikret Er:
  Simulation for the complex Bingham distribution. 53-57
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• Chuhsing Kate Hsiao, Su-Yun Huang, Ching-Wei Chang:
  Bayesian marginal inference via candidate's formula. 59-66
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• Rostislav S. Protassov:
  EM-based maximum likelihood parameter estimation for multivariate generalized hyperbolic distributions with fixed lambda. 67-77
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Volume 14, Number 2, April 2004

• D. Waddington, R. Thompson:
  Using a correlated probit model approximation to estimate the variance for binary matched pairs. 83-90
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• Xin Huang, Christopher G. Small:
  Calculating the simplex median. 91-98
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• David J. Gorsich, Marc G. Genton:
  On the discretization of nonparametric isotropic covariogram estimators. 99-108
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• Matthew A. Bognar, Mary Kathryn Cowles:
  Bayesian inference for pairwise interacting point processes. 109-117
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• Tsung I. Lin, Jack C. Lee, Huey F. Ni:
  Bayesian analysis of mixture modelling using the multivariate t distribution. 119-130
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• Andrey Feuerverger, Jeffrey S. Rosenthal:
  Achieving limiting distributions for Markov chains using back buttons. 131-141
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• Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky:
  Tree consistency and bounds on the performance of the max-product algorithm and its generalizations. 143-166
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Volume 14, Number 3, August 2004

• Matt Whiley, Simon P. Wilson:
  Parallel algorithms for Markov chain Monte Carlo methods in latent spatial Gaussian models. 171-179
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• Manuel Gómez, Concha Bielza:
  Node deletion sequences in influence diagrams using genetic algorithms. 181-198
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• Alexander J. Smola, Bernhard Schölkopf:
  A tutorial on support vector regression. 199-222
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• Efthymios G. Tsionas:
  Bayesian inference for multivariate gamma distributions. 223-233
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• Daniela De Canditiis, Theofanis Sapatinas:
  Testing for additivity and joint effects in multivariate nonparametric regression using Fourier and wavelet methods. 235-249
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• Alan Genz:
  Numerical computation of rectangular bivariate and trivariate normal and t probabilities. 251-260
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• Paul Fearnhead:
  Filtering recursions for calculating likelihoods for queues based on inter-departure time data. 261-266
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• Christophe Biernacki:
  Initializing EM using the properties of its trajectories in Gaussian mixtures. 267-279
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Volume 14, Number 4, October 2004

• Ian H. Dinwoodie, Laura Felicia Matusevich, Edward Mosteig:
  Transform methods for the hypergeometric distribution. 287-297
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• Chin-Tsai Lin, Chie-Bein Chen, Wen-Hsiang Wu:
  Fuzzy clustering algorithm for latent class model. 299-310
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• Heather M. Podlich, Malcolm Faddy, Gordon K. Smyth:
  Semi-parametric extended Poisson process models for count data. 311-321
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• José G. Dias, Michel Wedel:
  An empirical comparison of EM, SEM and MCMC performance for problematic Gaussian mixture likelihoods. 323-332
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• Sylvain Maire:
  Polynomial approximations of multivariate smooth functions from quasi-random data. 333-336
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• Thomas C. M. Lee, Hee-Seok Oh:
  Automatic polynomial wavelet regression. 337-341
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• Zhihua Zhang, Kap Luk Chan, Yiming Wu, Chibiao Chen:
  Learning a multivariate Gaussian mixture model with the reversible jump MCMC algorithm. 343-355
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• Julian Faraway:
  Modeling continuous shape change for facial animation. 357-363
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