Journal Series A: current and forthcoming papers

RSS Series A journalVolume 182 (2019), part 2

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

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Visualizing spatiotemporal models with virtual reality: from fully immersive environments to applications in stereoscopic view
S Castruccio, M G Genton and Y Sun

Visualization in Bayesian workflow
J Gabry, D Simpson, A Vehtari, M Betancourt, A Gelman

Graphics for uncertainty
A W Bowman

Discussion on the meeting on Data Visualization

The predictive power of subjective probabilities: probabilistic and deterministic polling in the Dutch 2017 election
J de Bresser and A van Soest

Polling bias and undecided voter allocations: US presidential elections, 2004–2016
J J Bon, T Ballard, B Baffour

A dynamic inhomogeneous latent state model for measuring material deprivation
F Dotto, A Farcomeni, M G Pittau and R Zelli

Embedding as a pitfall for survey-based welfare indicators: evidence from an experiment
C Hetschko, L von Reumont and R Schöb

Modelling preference data with the Wallenius distribution
C Grazian, F Leisen and B Liseo

Brexit and foreign investment in the UK
N Driffield and M Karoglou

Political rhetoric through the lens of non-parametric statistics: are our legislators that different?
I R Iliev, X Huang and Y R Gel

Worker absenteeism: peer influences, monitoring and job flexibility
P Johansson, A Karimi and J P Nilsson

Information-anchored sensitivity analysis: theory and application
S Cro, J R Carpenter and M G Kenward

Multiperil rate making for property insurance using longitudinal data
L Yang and P Shi

Experimental evaluation of mail questionnaires in a probability sample on victimization
J M Brick and S Lohr

Bayesian forecasting of mortality rates by using latent Gaussian models
A Alexopoulos, P Dellaportas, J J Forster

Forthcoming papers

Pollution state modelling for Mexico City
P A White, A E Gelfand, E R Rodrigues and G Tzintzun

On probability distributions of the operational law of container liner ships
Y Song and N Wang

Classifying industries into types of relative concentration
L von Auer, A Stepanyan and M Trede

Adaptive design in surveys and clinical trials: similarities, differences and opportunities for cross-fertilization
M Rosenblum, P Miller, B Reist, E A Stuart, M Thieme and T A Louis

Stronger instruments and refined covariate balance in an observational study of the effectiveness of prompt admission to intensive care units
L Keele, S Harris, S D Pimentel and R Grieve

Spatiotemporal auto-regressive model for origin–destination air passenger flows
K Kim, V Kim and H Kim

A Bayesian semiparametric approach for trend–seasonal interaction: an application to migration forecasts
A Milivinti and G Benini

Exposure at default without conversion factors—evidence from global credit data for large corporate revolving facilities
M Thackham and J Ma

Non-parametric predictive inference for the validation of credit rating systems
T Coolen-Maturi and F P A Coolen

Generating partially synthetic geocoded public use data with decreased disclosure risk by using differential smoothing
H Quick, S H Holan and C K Wikle

Bayesian non-parametric generation of fully synthetic multivariate categorical data in the presence of structural zeros
D Manrique-Vallier and J Hu

Differentially private model selection with penalized and constrained likelihood
J Lei, A-S Charest, A Slavkovic, A Smith and S Fienberg

Effect of forced displacement on health
I Zilic

Autologistic models for benchmark risk or vulnerability assessment of urban terrorism outcomes
J Liu, W W Piegorsch, A G Schissler and S L Cutter

Tracking and modelling prices using web-scraped price microdata: towards automated daily consumer price index forecasting
B Powell, G Nason, D Elliott, M Mayhew, J Davies and J Winton

On solving endogeneity with invalid instruments: an application to investment equations
A F Galvao, G Montes-Rojas, J Olmo and S Song

Smoothing mortality data: the English Life Tables, 2010-2012
E Dodd, J J Forster, J Bijak and P W F Smith

The effect of school spending on student achievement: addressing biases in value-added models
C Nicoletti, B Rabe