Journal Series C: current and forthcoming papers

RSS Series C journalVolume 68 (2019), part 3

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

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Functional clustering of accelerometer data via transformed input variables
Y Lim, H-S Oh and Y K Cheung

Bayesian analysis of functional magnetic resonance imaging data with spatially varying auto-regressive orders
M Teng, F S Nathoo and T D Johnson

Careful prior specification avoids incautious inference for log-Gaussian Cox point processes
S H Sørbye, J B Illian, D P Simpson, D Burslem and H Rue

Discrete Weibull generalized additive model: an application to count fertility data
A Peluso, V Vinciotti and K Yu

Exploring patterns of demand in bike sharing systems via replication point process models
D Gervini and M Khanal

Rectangular latent Markov models for time-specific clustering, with an analysis of the wellbeing of nations
G Anderson, A Farcomeni, M G Pittau and R Zelli

Optimal design of experiments for non-linear response surface models
Y Huang, S G Gilmour, K Mylona and P Goos

Detecting weak dependence in computer network traffic patterns by using higher criticism
M Price-Williams, N Heard and P Rubin-Delanchy

Calibrating non-probability surveys to estimated control totals using LASSO, with an application to political polling
J Kuang T Chen, R L Valliant and M R Elliott

RNASeqDesign: a framework for ribonucleic aced sequencing genomewide power calculation and study design issues
C‐W Lin, S G. Liao, P Liu, M‐L T Lee, Y S Park, G C Tseng

PairClone: a Bayesian subclone caller based on mutation pairs
T Zhou, P Müller, S Sengupta and Y Ji

Ranking the importance of genetic factors by variable-selection confidence sets
C Zheng, D Ferrari, M Zhang and P Baird

Topic modelling for medical prescription fraud and abuse detection
B Zafari, T Ekin

Landmark linear transformation model for dynamic prediction with application to a longitudinal cohort study of chronic disease
Y Zhu, L Li, X Huang

A new competing risks decomposition: application to the effect of cutting unemployment benefit on unemployment durations
D O’Neill

Bayesian non-parametric survival regression for optimizing precision dosing of intravenous busulfan in allogeneic stem cell transplantation
Y Xu, P F Thall, W Hua and Borje S Andersson

Forthcoming papers

Selecting biomarkers for building optimal treatment selection rules by using kernel machines
S Dasgupta and Y Huang

Integration of survival and binary data for variable selection and prediction: a Bayesian approach
A K Maity, R J Carroll and B K Mallick

Longitudinal dynamic functional regression
A-M Staicu, M N Islam, R Dumitru and E van Heugten

Analysis of tornado reports through replicated spatiotemporal point patterns
J A González, U Hahn and J Mateu

A hidden semi-Markov model for characterizing regime shifts in ocean density variability
T Economou and M B Menary

Indices of non-ignorable selection bias for proportions estimated from non-probability samples
R R Andridge, B T West, R J A Little, P S Boonstra and F Alvarado-Leiton

Prediction with high dimensional regression via hierarchically structure Gaussian mixtures and latent variables
C-C Tu, F Forbes, B Lemasson and N Wang

Analysing a quality-of-life survey by using a coclustering model for ordinal data and some dynamic implications
M Selosse, J Jacques, C Biernacki and F Cousson-Gélie

Subgroup analysis of treatment effects for misclassified biomarkers with time-to-event data
F Wan, A C Titman and T F Jaki

Are actuarial crop insurance rates fair?: an analysis using a penalized bivariate B-spline method
M J Price, C L Yu, D A Hennessy and X Du

Estimating finite mixtures of semi-Markov chains: an application to the segmentation of temporal sensory data
H Cardot, G Lecuelle, P Schlich and M Visalli

Bayesian uncertainty-directed dose finding designs
I Domenicano, S Ventz, M Cellamare, R H Mak and L Trippa

State space models for non-stationary intermittently coupled systems: an application to the North Atlantic oscillation
P G Sansom, D B Williamson and D B Stephenson

A computationally efficient correlated mixed probit model for credit risk inference
E Tosetti and V Vinciotti

Reduced bias for respondent-driven sampling: accounting for non-uniform edge sampling probabilities in people who inject drugs in Mauritius
M Q Ott, K J Gile, M T Harrison, L G Johnston and J W Hogan

Comparing Kaplan–Meier curves with delayed treatment effects: applications in immunotherapy trials
P Flandre and J O-Quigley

Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study
U Picchini and J L Forman

Data integrative Bayesian inference for mixtures of regression models
M Aflakparast and M de Gunst

Non-parametric Bayes models for mixed scale longitudinal surveys
T Kunihama, C T Halpern and A H Herring

The mean, variance and correlation for bivariate recurrent event data with a terminal event
T H Scheike, F Eriksson and S Tribler

Joint modelling of competing risks and current status data: an application to a spontaneous labour study
Y Lee, M-C Wang, K L Grantz and R Sundaram

Modelling extreme rain accumulation with an application to the 2011 Lake Champlain flood
J Jalbert, O A Murphy, C Genest and J G Nešlehová

An instrumental variable procedure for estimating Cox models with non-proportional hazards in the presence of unmeasured confounding
P Martínez-Camblor, T A MacKenzie, D O Staiger, P P Goodney and A J O’Malley

Detecting anisotropy in fingerprint growth
K Markert, K Krehl, C Gottschlich and S Huckemann

Markov switching integer-valued generalized auto-regressive conditional heteroscedastic models for dengue counts
C W S Chen, K Khamthong and S Lee

Health effects of sanitation facilities: a Bayesian semiparametric analysis of compositional data
S I Watson, J Sartori, O Uthman and R J Lilford

Improving the identification of antigenic sites in the H1N1 influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model
V Davies, W T Harvey, R Reeve and D Husmeier

Testing critical points of non-parametric regression curves: application to the management of stalked barnacles
M Sestelo and J Roca-Pardińas

Additive quantile regression for clustered data with an application to children’s physical activity
M Geraci