default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDStatistics and Computing, Volume 26
Volume 26, Numbers 1-2, January 2016
- Benjamin Hofner
, Thomas Kneib, Torsten Hothorn:
A unified framework of constrained regression. 1-14 - Daniel Palhazi Cuervo, Peter Goos, Kenneth Sörensen:
Optimal design of large-scale screening experiments: a critical look at the coordinate-exchange algorithm. 15-28 - Pierre Alquier, Nial Friel, Richard G. Everitt, Aidan Boland:
Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels. 29-47 - Julian J. Faraway:
Does data splitting improve prediction? 49-60 - Elisabeth Gassiat, Alice Cleynen, Stéphane Robin:
Inference in finite state space non parametric Hidden Markov Models and applications. 61-71 - Felix Heinzl, Gerhard Tutz:
Additive mixed models with approximate Dirichlet process mixtures: the EM approach. 73-92 - Eugene Dubossarsky, Jerome H. Friedman, John T. Ormerod, Matthew P. Wand:
Wavelet-based gradient boosting. 93-105 - Giacomo Aletti, Caterina May, Chiara Tommasi:
KL-optimum designs: theoretical properties and practical computation. 107-117 - Jacob Gagnon, Hua Liang, Anna Liu:
Spherical radial approximation for nested mixed effects models. 119-130 - Sungwan Bang, HyungJun Cho, Myoungshic Jhun:
Simultaneous estimation for non-crossing multiple quantile regression with right censored data. 131-147 - Kenny Chowdhary, Habib N. Najm:
Data free inference with processed data products. 149-169 - Dennis Prangle:
Lazy ABC. 171-185 - Noboru Nomura:
Evaluation of Gaussian orthant probabilities based on orthogonal projections to subspaces. 187-197 - Chong You, Samuel Müller, John T. Ormerod:
On generalized degrees of freedom with application in linear mixed models selection. 199-210 - Eric Simonnet:
Combinatorial analysis of the adaptive last particle method. 211-230 - Junshan Wang, Ajay Jasra:
Monte Carlo algorithms for computing α-permanents. 231-248 - Bei Wei, Stephen M. S. Lee, Xiyuan Wu:
Stochastically optimal bootstrap sample size for shrinkage-type statistics. 249-262 - Alice Cleynen, Stéphane Robin:
Comparing change-point location in independent series. 263-276 - Frederick Kin Hing Phoa, Tai-Chi Wang, Shuching Lin:
A search of maximum generalized resolution quaternary-code designs via integer linear programming. 277-283 - Vivian Viallon, Sophie Lambert-Lacroix, Holger Höfling, Franck Picard:
On the robustness of the generalized fused lasso to prior specifications. 285-301 - Gertraud Malsiner-Walli, Sylvia Frühwirth-Schnatter, Bettina Grün:
Model-based clustering based on sparse finite Gaussian mixtures. 303-324 - Frank Critchley, Paul Marriott:
Computing with Fisher geodesics and extended exponential families. 325-332 - Silia Vitoratou, Ioannis Ntzoufras, Irini Moustaki:
Explaining the behavior of joint and marginal Monte Carlo estimators in latent variable models with independence assumptions. 333-348 - Christopher J. Fallaize, Theodore Kypraios:
Exact Bayesian inference for the Bingham distribution. 349-360 - Minh-Ngoc Tran, Michael K. Pitt, Robert Kohn:
Adaptive Metropolis-Hastings sampling using reversible dependent mixture proposals. 361-381 - Johannes Buchner:
A statistical test for Nested Sampling algorithms. 383-392 - Anindya Bhadra, Edward L. Ionides:
Adaptive particle allocation in iterated sequential Monte Carlo via approximating meta-models. 393-407 - Luo Xiao, Vadim Zipunnikov, David Ruppert, Ciprian M. Crainiceanu:
Fast covariance estimation for high-dimensional functional data. 409-421 - Jim E. Griffin:
An adaptive truncation method for inference in Bayesian nonparametric models. 423-441 - Caio L. N. Azevedo, Jean-Paul Fox, Dalton F. Andrade:
Bayesian longitudinal item response modeling with restricted covariance pattern structures. 443-460 - Lisha Chen, Jianhua Z. Huang:
Sparse reduced-rank regression with covariance estimation. 461-470 - Seppo Pulkkinen:
Nonlinear kernel density principal component analysis with application to climate data. 471-492 - Lin Zhang, Abhra Sarkar, Bani K. Mallick:
Bayesian sparse covariance decomposition with a graphical structure. 493-510 - Arthur J. White, Jason Wyse, Thomas Brendan Murphy:
Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler. 511-527 - Monia Ranalli, Roberto Rocci:
Mixture models for ordinal data: a pairwise likelihood approach. 529-547 - Jean-Baptiste Durand, Yann Guédon:
Localizing the latent structure canonical uncertainty: entropy profiles for hidden Markov models. 549-567 - Jean-Baptiste Durand, Yann Guédon:
Erratum to: Localizing the latent structure canonical uncertainty: entropy profiles for hidden Markov models. 569-570 - François Caron:
Book Review: Nonlinear Time Series: Theory, methods, and applications with R examples, by Randal Douc, Eric Moulines, David S. Stoffer - CRC Press, Boca Raton, FL, 2014, xx + 531 pp, $99.95 (H), ISBN 978-1-4665-0225-3. 571-572
Volume 26, Number 3, May 2016
- Sharon X. Lee, Geoffrey J. McLachlan:
Finite mixtures of canonical fundamental skew t-distributions - The unification of the restricted and unrestricted skew t-mixture models. 573-589 - Radislav Vaisman, Zdravko I. Botev, Ad Ridder:
Sequential Monte Carlo for counting vertex covers in general graphs. 591-607 - Chun Yip Yau, Kin Wai Chan:
New recursive estimators of the time-average variance constant. 609-627 - Yanhong Wang, Yixin Fang, Junhui Wang:
Sparse optimal discriminant clustering. 629-639 - Raffaele Argiento, Ilaria Bianchini, Alessandra Guglielmi:
A blocked Gibbs sampler for NGG-mixture models via a priori truncation. 641-661 - Sabine Hug, Michael Schwarzfischer, Jan Hasenauer, Carsten Marr, Fabian J. Theis:
An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson's rule. 663-677 - Erlis Ruli, Nicola Sartori, Laura Ventura:
Approximate Bayesian computation with composite score functions. 679-692 - Fortunato Pesarin, Luigi Salmaso, Eleonora Carrozzo, Rosa Arboretti Giancristofaro:
Union-intersection permutation solution for two-sample equivalence testing. 693-701 - Amir Ahmadi-Javid, Asghar Moeini:
An economical acceptance-rejection algorithm for uniform random variate generation over constrained simplexes. 703-713 - Julie Josse, Sylvain Sardy:
Adaptive shrinkage of singular values. 715-724 - Md Hasinur Rahaman Khan, J. Ewart H. Shaw:
Variable selection for survival data with a class of adaptive elastic net techniques. 725-741 - A. Martín Andrés, M. Álvarez Hernández:
Erratum to: Two-tailed approximate confidence intervals for the ratio of proportions. 743-744
Volume 26, Number 4, July 2016
- Marcelo Pereyra:
Proximal Markov chain Monte Carlo algorithms. 745-760 - David A. Spade:
A computational procedure for estimation of the mixing time of the random-scan Metropolis algorithm. 761-781 - Émeline Perthame, Chloé Friguet, David Causeur:
Stability of feature selection in classification issues for high-dimensional correlated data. 783-796 - Chris J. Oates, Jim Q. Smith, Sach Mukherjee, James Cussens:
Exact estimation of multiple directed acyclic graphs. 797-811 - Clifford Anderson-Bergman, Yaming Yu:
Computing the log concave NPMLE for interval censored data. 813-826 - Anindya Bhadra, Raymond J. Carroll:
Exact sampling of the unobserved covariates in Bayesian spline models for measurement error problems. 827-840 - Nadja Klein, Thomas Kneib:
Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach. 841-860 - Abul Hasnat, Olivier Alata, Alain Trémeau:
Model-based hierarchical clustering with Bregman divergences and Fishers mixture model: application to depth image analysis. 861-880 - Longhai Li, Shi Qiu, Bei Zhang, Cindy X. Feng:
Approximating cross-validatory predictive evaluation in Bayesian latent variable models with integrated IS and WAIC. 881-897 - James Ridgway:
Computation of Gaussian orthant probabilities in high dimension. 899-916 - Dean A. Bodenham, Niall M. Adams:
A comparison of efficient approximations for a weighted sum of chi-squared random variables. 917-928
Volume 26, Number 5, September 2016
- Christophe Biernacki, Julien Jacques:
Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm. 929-943 - Giles Hooker, Steven Roberts:
Maximal autocorrelation functions in functional data analysis. 945-950 - Mateusz Krzysztof Lacki, Blazej Miasojedow:
State-dependent swap strategies and automatic reduction of number of temperatures in adaptive parallel tempering algorithm. 951-964 - Gildas Mazo, Stéphane Girard, Florence Forbes:
A flexible and tractable class of one-factor copulas. 965-979 - Rosalba Radice, Giampiero Marra, Malgorzata Wojtys:
Copula regression spline models for binary outcomes. 981-995 - Xingyu Tang, Heng Lian:
Mean and quantile boosting for partially linear additive models. 997-1008 - Tore Selland Kleppe, Hans J. Skaug:
Bandwidth selection in pre-smoothed particle filters. 1009-1024 - Giuliano Galimberti, Elena Scardovi, Gabriele Soffritti:
Using mixtures in seemingly unrelated linear regression models with non-normal errors. 1025-1038 - Gerhard Tutz, Dominik Koch:
Improved nearest neighbor classifiers by weighting and selection of predictors. 1039-1057 - Andre Beinrucker, Ürün Dogan, Gilles Blanchard:
Extensions of stability selection using subsamples of observations and covariates. 1059-1077 - Ioannis Kosmidis, Dimitris Karlis:
Model-based clustering using copulas with applications. 1079-1099 - David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley:
Divisive clustering of high dimensional data streams. 1101-1120 - James M. McGree, Christopher C. Drovandi, Gentry White, Anthony N. Pettitt:
A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design. 1121-1136
Volume 26, Number 6, November 2016
- Michael A. Spence, Paul G. Blackwell:
Coupling random inputs for parameter estimation in complex models. 1137-1146 - Nicholas A. Heard, Melissa J. Turcotte:
Convergence of Monte Carlo distribution estimates from rival samplers. 1147-1161 - Chiara Tommasi, Raúl Martín Martín, Jesús López-Fidalgo:
Max-min optimal discriminating designs for several statistical models. 1163-1172 - Pierre Latouche, Stéphane Robin:
Variational Bayes model averaging for graphon functions and motif frequencies inference in W-graph models. 1173-1185 - Felipe J. Medina-Aguayo, Anthony Lee, Gareth O. Roberts:
Stability of noisy Metropolis-Hastings. 1187-1211 - Joris Bierkens:
Non-reversible Metropolis-Hastings. 1213-1228 - Eric Schmitt, Kaveh Vakili:
The FastHCS algorithm for robust PCA. 1229-1242 - Linda S. L. Tan, Victor M. H. Ong, David J. Nott, Ajay Jasra:
Variational inference for sparse spectrum Gaussian process regression. 1243-1261 - Wagner Barreto-Souza, Alexandre B. Simas:
General mixed Poisson regression models with varying dispersion. 1263-1280 - Benjamin M. Gyori, Daniel Paulin:
Hypothesis testing for Markov chain Monte Carlo. 1281-1292 - Paul Fearnhead, Loukia Meligkotsidou:
Augmentation schemes for particle MCMC. 1293-1306 - Arthur Pewsey, Shogo Kato:
Parametric bootstrap goodness-of-fit testing for Wehrly-Johnson bivariate circular distributions. 1307-1317 - Nathaniel E. Helwig:
Efficient estimation of variance components in nonparametric mixed-effects models with large samples. 1319-1336
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-19 00:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
