Statistics and Computing
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
Table of contents
- 1
-
A unified framework of constrained regressionHofner, Benjamin / Kneib, Thomas / Hothorn, Torsten et al. | 2014
- 15
-
Optimal design of large-scale screening experiments: a critical look at the coordinate-exchange algorithmPalhazi Cuervo, Daniel / Goos, Peter / Sörensen, Kenneth et al. | 2014
- 29
-
Noisy Monte Carlo: convergence of Markov chains with approximate transition kernelsAlquier, P. / Friel, N. / Everitt, R. et al. | 2014
- 49
-
Does data splitting improve prediction?Faraway, Julian J. et al. | 2014
- 61
-
Inference in finite state space non parametric Hidden Markov Models and applicationsGassiat, E. / Cleynen, A. / Robin, S. et al. | 2015
- 73
-
Additive mixed models with approximate Dirichlet process mixtures: the EM approachHeinzl, Felix / Tutz, Gerhard et al. | 2014
- 93
-
Wavelet-based gradient boostingDubossarsky, E. / Friedman, J. H. / Ormerod, J. T. et al. | 2014
- 107
-
KL-optimum designs: theoretical properties and practical computationAletti, Giacomo / May, Caterina / Tommasi, Chiara et al. | 2014
- 119
-
Spherical radial approximation for nested mixed effects modelsGagnon, Jacob / Liang, Hua / Liu, Anna et al. | 2014
- 131
-
Simultaneous estimation for non-crossing multiple quantile regression with right censored dataBang, Sungwan / Cho, HyungJun / Jhun, Myoungshic et al. | 2014
- 149
-
Data free inference with processed data productsChowdhary, K. / Najm, H. N. et al. | 2014
- 171
-
Lazy ABCPrangle, Dennis et al. | 2014
- 187
-
Evaluation of Gaussian orthant probabilities based on orthogonal projections to subspacesNomura, Noboru et al. | 2014
- 199
-
On generalized degrees of freedom with application in linear mixed models selectionYou, Chong / Müller, Samuel / Ormerod, John T. et al. | 2014
- 211
-
Combinatorial analysis of the adaptive last particle methodSimonnet, Eric et al. | 2014
- 231
-
Monte Carlo algorithms for computing $$\alpha $$-permanentsWang, Junshan / Jasra, Ajay et al. | 2014
- 231
-
Monte Carlo algorithms for computing Formula Not Shown -permanentsWang, J. / Jasra, A. et al. | 2016
- 249
-
Stochastically optimal bootstrap sample size for shrinkage-type statisticsWei, Bei / Lee, Stephen M. S. / Wu, Xiyuan et al. | 2014
- 263
-
Comparing change-point location in independent seriesCleynen, A. / Robin, S. et al. | 2014
- 277
-
A search of maximum generalized resolution quaternary-code designs via integer linear programmingPhoa, Frederick Kin Hing / Wang, Tai-Chi / Lin, Shu-Ching et al. | 2014
- 285
-
On the robustness of the generalized fused lasso to prior specificationsViallon, Vivian / Lambert-Lacroix, Sophie / Hoefling, Hölger et al. | 2014
- 303
-
Model-based clustering based on sparse finite Gaussian mixturesMalsiner-Walli, Gertraud / Frühwirth-Schnatter, Sylvia / Grün, Bettina et al. | 2014
- 325
-
Computing with Fisher geodesics and extended exponential familiesCritchley, F. / Marriott, P. et al. | 2014
- 333
-
Explaining the behavior of joint and marginal Monte Carlo estimators in latent variable models with independence assumptionsVitoratou, Silia / Ntzoufras, Ioannis / Moustaki, Irini et al. | 2014
- 349
-
Exact Bayesian inference for the Bingham distributionFallaize, Christopher J. / Kypraios, Theodore et al. | 2014
- 361
-
Adaptive Metropolis–Hastings sampling using reversible dependent mixture proposalsTran, Minh-Ngoc / Pitt, Michael K. / Kohn, Robert et al. | 2014
- 383
-
A statistical test for Nested Sampling algorithmsBuchner, Johannes et al. | 2014
- 393
-
Adaptive particle allocation in iterated sequential Monte Carlo via approximating meta-modelsBhadra, Anindya / Ionides, Edward L. et al. | 2014
- 409
-
Fast covariance estimation for high-dimensional functional dataXiao, Luo / Zipunnikov, Vadim / Ruppert, David et al. | 2014
- 423
-
An adaptive truncation method for inference in Bayesian nonparametric modelsGriffin, J. E. et al. | 2014
- 443
-
Bayesian longitudinal item response modeling with restricted covariance pattern structuresAzevedo, Caio L. N. / Fox, Jean-Paul / Andrade, Dalton F. et al. | 2014
- 461
-
Sparse reduced-rank regression with covariance estimationChen, Lisha / Huang, Jianhua Z. et al. | 2014
- 471
-
Nonlinear kernel density principal component analysis with application to climate dataPulkkinen, Seppo et al. | 2014
- 493
-
Bayesian sparse covariance decomposition with a graphical structureZhang, Lin / Sarkar, Abhra / Mallick, Bani K. et al. | 2014
- 511
-
Bayesian variable selection for latent class analysis using a collapsed Gibbs samplerWhite, Arthur / Wyse, Jason / Murphy, Thomas Brendan et al. | 2014
- 529
-
Mixture models for ordinal data: a pairwise likelihood approachRanalli, Monia / Rocci, Roberto et al. | 2014
- 549
-
Localizing the latent structure canonical uncertainty: entropy profiles for hidden Markov modelsDurand, Jean-Baptiste / Guédon, Yann et al. | 2014
- 569
-
Erratum to: Localizing the latent structure canonical uncertainty: entropy profiles for hidden Markov modelsDurand, Jean-Baptiste / Guédon, Yann et al. | 2015
- 571
-
Book Review: Nonlinear Time Series: Theory, methods, and applications with R examples, by Randal Douc, Eric Moulines, David S. StofferCaron, François et al. | 2015