Journal Series C: current and forthcoming papers

RSS Series C journalVolume 67 (2018), part 2

Current and scheduled papers are available to subscribers from the Wiley Online Library.

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Survival analysis with functions of mismeasured covariate histories: the case of chronic air pollution exposure in relation to mortality in the nurses’ health study
X Liao, X Zhou, M Wang, J E Hart, F Laden and D Spiegelman

Analysis of spatial data with a nested correlation structure
O A Adegboye, D H Y Leung and Y-G Wang

A penalized inference approach to stochastic block modelling of community structure in the Italian Parliament
M Signorelli and E C Wit

Mediation analysis for count and zero -inflated count data without sequential ignorability and its application in dental studies
Z Guo, D S Small, S A Gansky and J Cheng

Contextual ranking by passive safety of generational classes of light vehicles
Z Ouni, C Denis, C Chauvel and A Chambaz

Dynamic Bayesian network inferencing for non-homogeneous complex systems
P P-Y Wu, M J Caley, G A Kendrick, K McMahon and K Mengersen

Multiclass vector auto-regressive models for multistore sales data
I Wilms, L Barbaglia and C Croux

Generalized additive models with principal component analysis: an application to time series of respiratory disease and air pollution data
J B de Souza, V A Reisen, G C Franco, M Ispány, P Bondon and J Meri Santos

Clustered multistate models with observation level random effects, mover–stayer effects and dynamic covariates: modelling transition intensitiesand sojourn times in a study of psoriatic arthritis
S Yiu, V T Farewell and B D M Tom

Estimating dynamic macroeconomic models: how informative are the data?
D O Beltran and D Draper

Forthcoming papers

Using artificial censoring to improve extreme tail quantile estimates
Y Liu, M Salibián-Barrera, R H Zamar and J V Zidek

gBOIN: a unified model-assisted phase I trial design accounting for toxicity grades, and binary or continuous end points
R Mu, Y Yuan, J Xu, S J Mandreker and J Yin

Functional principal components analysis on moving time windows of longitudinal data: dynamic prediction of times to event
F Yan, X Lin, R Li and X Huang

Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models
A Bonnet, C Lévy-Leduc, E Gassiat, R Toro and T Bourgeron

The functional latent block model for the co-clustering of electricity consumption curves
C Bouveyron, L Bozzi, J Jacques and F-X Jollois

BLAST: Bayesian latent subgroup design for basket trials accounting for patient heterogeneity
Y Chu and Y Yuan

Bayesian models for weighted data with missing values: a bootstrap approach
H Goldstein, J Carpenter and M G Kenward

Signal regression models for location, scale and shape with an application to stock returns
S Brockhaus, A Fuest, A Mayr and S Greven

Combining sharp and smooth transitions in volatility dynamics: a fuzzy regime approach
G M Gallo and E Otranto

Stochastic differential equation based on a multimodal potential to model movement data in ecology
P Gloaguen, M-P Etienne and S Le Corff

A spatiotemporal multispecies model of a semicontinuous response
C M Jones-Todd, B Swallow, J B Illian and M Toms

Standardized drought indices: a novel univariate and multivariate approach
T M Erhardt and C Czado

Boosting factor-specific functional historical models for the detection of synchronization in bioelectrical signals
D Rügamer, S Brockhaus, K Gentsch, K Scherer and S Greven

Segmentation of sea current fields by cylindrical hidden Markov models: a composite likelihood approach
M Ranalli, F Lagona, M Picone and E Zambianchi

Modelling time varying heterogeneity in recurrent infection processes: an application to serological data
S Abrams, A Wienke and N Hens

Bayesian non-parametric conditional copula estimation of twin data
L Dalla Valle, F Leisen and L Rossini