Journal: Statistics and Computing

Volume 18, Issue 4

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

Volume 18, Issue 3

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

Volume 18, Issue 2

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

Volume 18, Issue 1

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