Journal Series C: current and forthcoming papers

RSS Series C journalVolume 66 (2017), part 5

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

Log in at My RSS and go to ‘My publication’ to view your journals and access the Wiley website.

Modelling trends in digit preference patterns
C G Camarda, P H C Eilers and J Gampe

A non-stationary spatial model for temperature interpolation applied to the state of Rio de Janeiro
M Cunha, D Gamerman, M Fuentes and M Paez

A spatiotemporal model for extreme precipitation simulated by a climate model, with an application to assessing changes in return levels over North America
J Jalbert, A-C Favre, C Bélisle and J-F Angers

Improved detection of changes in species richness in high diversity microbial communities
A Willis, J Bunge and T Whitman

A calibrated power prior approach to borrow information from historical data with application to biosimilar clinical trials
H Pan, Y Yuan and J Xia

The use of heuristic optimization algorithms to facilitate maximum simulated likelihood estimation of random parameter logit models
A R Hole and H I Yoo

Phase 1 designs that allow for uncertainty in the attribution of adverse events
A Iasonos and J O’Quigley

Ecological grouping of survey sites when sampling artefacts are present
S D Foster, N A Hill and M Lyons

Mechanism for missing data incorporated in joint modelling of ordinal responses
A Ivanova, G Molenberghs and G Verbeke

Detecting bias arising from delayed recording of time
B L De Stavola and D R Cox

Joint regression analysis of marginal quantile and quantile association: application to longitudinal body mass index in adolescents
C-C Yang, Y-H Chen and H-Y Chang

Forthcoming papers

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

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

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

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

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

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

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

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

Data integration model for air quality: a hierarchical approach to the global estimation of exposures to ambient air pollution
G Shaddick, M L Thomas, A Green, M Brauer, A van Donkelaar, R Burnett, H H Chang, A Cohen, R Van Dingenen, C Dora, S Gumy, Y Liu and R Martin

Pattern–mixture models with incomplete informative cluster size: application to a repeated pregnancy study
A Chaurasia, D Liu and P S Albert

Simulation–extrapolation for bias correction with exposure uncertainty in radiation risk analysis utilizing grouped data
M Misumi, K Furukawa, J B Cologne and H M Cullings

Urban heat risk mapping using multiple point patterns in Houston, Texas
J W Mortensen, M J Heaton and O V Wilhelmi

Bayesian model selection for the glacial-interglacial cycle
J Carson, M Crucifix, S Preston and R D Wilkinson

Markov models for ocular fixation locations in the presence and absence of colour
A B Kashlak, E Devane, H Dietert and H Jackson

Domain-selective functional analysis of variance for supervised statistical profile monitoring of signal data
A Pini, S Vantini, B M Colosimo and M Grasso

Estimating the treatment effect on the treated under time-dependent confounding in an application to the Swiss HIV Cohort Study
J M Gran, R Hoff, K Røysland, B Ledergerber, J Young and O O Aalen

Fully general Chao and Zelterman estimators with application to a whale shark population
A Farcomeni

A multivariate space–time model for analysing county level heart disease death rates by race and sex
H Quick, L A Waller and M Casper

A Bayesian model selection approach for identifying differentially expressed transcripts from RNA sequencing data
P Papastamoulis and M Rattray

Accommodating informative dropout and death: a joint modelling approach for longitudinal and semicompeting risks data
Q Li and L Su