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ORCIDStatistics 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 - Paul Fearnhead:
Particle filters for mixture models with an unknown number of components. 11-21 - 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 - Nickolay T. Trendafilov, G. A. Watson:
The ℓ1 oblique procrustes problem. 39-51 - John T. Kent, Patrick D. L. Constable, Fikret Er:
Simulation for the complex Bingham distribution. 53-57 - Chuhsing Kate Hsiao, Su-Yun Huang, Ching-Wei Chang:
Bayesian marginal inference via candidate's formula. 59-66 - Rostislav S. Protassov:
EM-based maximum likelihood parameter estimation for multivariate generalized hyperbolic distributions with fixed lambda. 67-77
Volume 14, Number 2, April 2004
- Dave Waddington, Robin Thompson:
Using a correlated probit model approximation to estimate the variance for binary matched pairs. 83-90 - Xin Huang, Christopher G. Small:
Calculating the simplex median. 91-98 - David J. Gorsich, Marc G. Genton:
On the discretization of nonparametric isotropic covariogram estimators. 99-108 - Matthew A. Bognar, Mary Kathryn Cowles:
Bayesian inference for pairwise interacting point processes. 109-117 - Tsung-I Lin, Jack C. Lee, Huey F. Ni:
Bayesian analysis of mixture modelling using the multivariate t distribution. 119-130 - Andrey Feuerverger, Jeffrey S. Rosenthal:
Achieving limiting distributions for Markov chains using back buttons. 131-141 - Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky:
Tree consistency and bounds on the performance of the max-product algorithm and its generalizations. 143-166
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 - Manuel Gómez, Concha Bielza:
Node deletion sequences in influence diagrams using genetic algorithms. 181-198 - Alexander J. Smola, Bernhard Schölkopf:
A tutorial on support vector regression. 199-222 - Efthymios G. Tsionas:
Bayesian inference for multivariate gamma distributions. 223-233 - Daniela De Canditiis, Theofanis Sapatinas:
Testing for additivity and joint effects in multivariate nonparametric regression using Fourier and wavelet methods. 235-249 - Alan Genz:
Numerical computation of rectangular bivariate and trivariate normal and t probabilities. 251-260 - Paul Fearnhead:
Filtering recursions for calculating likelihoods for queues based on inter-departure time data. 261-266 - Christophe Biernacki:
Initializing EM using the properties of its trajectories in Gaussian mixtures. 267-279
Volume 14, Number 4, October 2004
- Ian H. Dinwoodie, Laura Felicia Matusevich, Edward Mosteig:
Transform methods for the hypergeometric distribution. 287-297 - Chin-Tsai Lin, Chie-Bein Chen, Wen-Hsiang Wu:
Fuzzy clustering algorithm for latent class model. 299-310 - Heather M. Podlich, Malcolm J. Faddy, Gordon K. Smyth:
Semi-parametric extended Poisson process models for count data. 311-321 - José G. Dias, Michel Wedel:
An empirical comparison of EM, SEM and MCMC performance for problematic Gaussian mixture likelihoods. 323-332 - Sylvain Maire:
Polynomial approximations of multivariate smooth functions from quasi-random data. 333-336 - Thomas C. M. Lee, Hee-Seok Oh:
Automatic polynomial wavelet regression. 337-341 - Zhihua Zhang, Kap Luk Chan, Yiming Wu, Chibiao Chen:
Learning a multivariate Gaussian mixture model with the reversible jump MCMC algorithm. 343-355 - Julian Faraway:
Modeling continuous shape change for facial animation. 357-363
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