Statistics and Computing, Volume 18

Volume 18, Number 1, March 2008

• Sylvia Frühwirth-Schnatter, Regina Tüchler:
  Bayesian parsimonious covariance estimation for hierarchical linear mixed models. 1-13
  
• Juliana Gambini, Marta Mejail, Julio Jacobo-Berlles, Alejandro César Frery:
  Accuracy of edge detection methods with local information in speckled imagery. 15-26
  
• Dimitris Karlis, Panagiotis Tsiamyrtzis:
  Exact Bayesian modeling for bivariate Poisson data and extensions. 27-40
  
• Pierre Hansen, Nenad Mladenovic:
  Complement to a comparative analysis of heuristics for the p -median problem. 41-46
  
• Adam M. Johansen, Arnaud Doucet, Manuel Davy:
  Particle methods for maximum likelihood estimation in latent variable models. 47-57
  
• Pierre Pinson, Henrik Aalborg Nielsen, Henrik Madsen, Torben S. Nielsen:
  Local linear regression with adaptive orthogonal fitting for the wind power application. 59-71
  
• Peter K. Dunn, Gordon K. Smyth:
  Evaluation of Tweedie exponential dispersion model densities by Fourier inversion. 73-86
  
• Harald Binder, Gerhard Tutz:
  A comparison of methods for the fitting of generalized additive models. 87-99
  
• Zheng Su, Jiaqiao Hu, Wei Zhu:
  Multi-step variance minimization in sequential tests. 101-108
  

Volume 18, Number 2, June 2008

• Jian-Hua Zhao, Philip L. H. Yu, Qibao Jiang:
  ML estimation for factor analysis: EM or non-EM? 109-123
  
• Richard J. Boys, Darren J. Wilkinson, Thomas B. L. Kirkwood:
  Bayesian inference for a discretely observed stochastic kinetic model. 125-135
  
• Marco Alfò, Luciano Nieddu, Donatella Vicari:
  A finite mixture model for image segmentation. 137-150
  
• Paul Fearnhead:
  Computational methods for complex stochastic systems: a review of some alternatives to MCMC. 151-171
  
• Jean-Jacques Daudin, Franck Picard, Stéphane Robin:
  A mixture model for random graphs. 173-183
  
• Willi Sauerbrei, Norbert Holländer, Anika Buchholz:
  Investigation about a screening step in model selection. 195-208
  
• C. J. Pérez, J. Martín, C. Rojano, F. J. Girón:
  Efficient generation of random vectors by using the ratio-of-uniforms method with ellipsoidal envelopes. 209-217
  
• Panagiotis Besbeas, Byron J. T. Morgan:
  Improved estimation of the stable laws. 219-231
  

Volume 18, Number 3, September 2008

• Yungtai Lo:
  A likelihood ratio test of a homoscedastic normal mixture against a heteroscedastic normal mixture. 233-240
  
• Gerhard Koekemoer, Jan W. H. Swanepoel:
  A semi-parametric method for transforming data to normality. 241-257
  
• David Bremner, Dan Chen, John Iacono, Stefan Langerman, Pat Morin:
  Output-sensitive algorithms for Tukey depth and related problems. 259-266
  
• J. Q. Shi, B. Wang:
  Curve prediction and clustering with mixtures of Gaussian process functional regression models. 267-283
  
• Paul David McNicholas, Thomas Brendan Murphy:
  Parsimonious Gaussian mixture models. 285-296
  
• Wenceslao González-Manteiga, M. D. Martínez-Miranda, R. Raya-Miranda:
  SiZer Map for inference with additive models. 297-312
  
• Ralph dos Santos Silva, Hedibert Freitas Lopes:
  Copula, marginal distributions and model selection: a Bayesian note. 313-320
  
• Riccardo Gatto:
  Some computational aspects of the generalized von Mises distribution. 321-331
  
• Ali Baharev, Sándor Kemény:
  On the computation of the noncentral F and noncentral beta distribution. 333-340
  

Volume 18, Number 4, December 2008

• Paul Fearnhead:
  Editorial: Special issue on adaptive Monte Carlo methods. 341-342
  
• Christophe Andrieu, Johannes Thoms:
  A tutorial on adaptive MCMC. 343-373
  
• Yuan Ren, Yu Ding, Faming Liang:
  Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems. 375-390
  
• Richard Gerlach, Cathy W. S. Chen:
  Bayesian inference and model comparison for asymmetric smooth transition heteroskedastic models. 391-408
  
• Jonathan M. Keith, Dirk P. Kroese, George Y. Sofronov:
  Adaptive independence samplers. 409-420
  
• Bo Cai, Renate Meyer, François Perron:
  Metropolis-Hastings algorithms with adaptive proposals. 421-433
  
• Cajo J. F. ter Braak, Jasper A. Vrugt:
  Differential Evolution Markov Chain with snooker updater and fewer chains. 435-446
  
• Olivier Cappé, Randal Douc, Arnaud Guillin, Jean-Michel Marin, Christian P. Robert:
  Adaptive importance sampling in general mixture classes. 447-459
  
• Julien Cornebise, Eric Moulines, Jimmy Olsson:
  Adaptive methods for sequential importance sampling with application to state space models. 461-480
  

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