Journal Series A: current and forthcoming papers

RSS Series A journalVolume 182 (2019), part 4

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

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Pigeonholes and mustard seeds: growing capacity to use data for society
D Ashby

Preface to the papers on ‘Credit risk modelling’
J Crook, T Bellotti, C Mues and A-M Fuertes<

Prediction of default probability by using statistical models for rare events
E O Ogundimu

A joint scoring model for peer‐to‐peer and traditional lending: a bivariate model with copula dependence
R Calabrese, S A Osmetti and L Zanin

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

The effect of interfirm financial transactions on the credit risk of small and medium-sized enterprises
V Vinciotti, E Tosetti, F Moscone and M Lycett

Retail credit scoring using fine-grained payment data
E Tobback and D Martens

Modelling the loss given default distribution via a family of zero-and-one inflated mixture models
S D Tomarchio and A Punzo

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

The law of equal opportunities or unintended consequences?: The effect of unisex risk assessment in consumer credit
G Andreeva and A Matuszyk

Semiparametric mixed effects models for unsupervised classification of Italian schools
C Masci, A M Paganoni and F Ieva

Multisite causal mediation analysis in the presence of complex sample and survey designs and non-random non-response
X Qin, G Hong, J Deutsch and E Bein

An embedded experiment for targeted non-response follow-up in establishment surveys
S J Kaputa, K J Thompson and J L Beck

The analysis and forecasting of tennis matches by using a high dimensional dynamic model
P Gorgi, S J Koopman and R Lit

What did you really earn last year?: explaining measurement error in survey income data
S Angel, F Disslbacher, S Humer and M Schnetzer

A unit level small area model with misclassified covariates
S Arima and S Polettini

Estimating the number of serious road injuries per vehicle type in the Netherlands by using multiple imputation of latent classes
L Boeschoten, T de Waal and J K Vermunt

On the estimation of population size from a dependent triple-record system
K Chatterjee and P Bhuyan

Flexible (panel) regression models for bivariate count–continuous data with an insurance application
Y Lu

Forthcoming papers

Can genetics reveal the causes and consequences of educational attainment?
M Munafò, N M Davies and G Davey Smith

Identification and sensitivity analysis of contagion effects in randomized placebo-controlled trials
K Imai and Z Jiang

Using hidden information and performance level boundaries to study student–teacher assignments: implications for estimating teacher causal effects
J R Lockwood and D McCaffrey

Inferring the outcomes of rejected loans: an application of semisupervised clustering
Z Li, X Hu, K Li, F Zhou and F Shen

The hot hand in professional darts
M Ötting, R Langrock and C Deutscher

A Bayesian spatial categorical model for prediction to overlapping geographical areas in sample surveys
K S Bakar, N Biddle, P Kokic and J Jin

Performance assessment as an application of causal inference
N T Longford

Information asymmetry and leverage adjustments: a semiparametric varying-coefficient approach
M Jin, S Zhao and S C Kumbhakar

Optimal matching approaches in health policy evaluations under rolling enrolment
S D Pimentel, L V Forrow, J Gellar and J Li

Modelling the socio-economic determinants of fertility: a mediation analysis using the parametric g-formula
M J Bijlsma and B Wilson

Identifying the effect of public holidays on daily demand for gas
S E Heaps, M Farrow and K J Wilson

Optimally balanced Gaussian process propensity scores for estimating treatment effects
B G Vegetabile, D L Gillen and H S Stern

Inclusion of time-varying covariates in cure survival models with an application in fertility studies
P Lambert and V Bremhorst

‘What drives commuter behaviour?’: a Bayesian clustering approach for understanding opposing behaviours in social surveys
L C Dawkins, D B Williamson, S W Barr and S R Lampkin

Regression-with-residuals estimation of marginal effects: a method of adjusting for treatment-induced confounders that may also be effect modifiers
G T Wodkte, Z Alaca and X Zhou

Estimation of proportions in small areas: application to the labour force using the Swiss Census Structural Survey
I Molina and E Strzalkowska-Kominiak

Parametric modelling of M-quantile regression coefficient functions with application to small area estimation
P Frumento and N Salvati

Spatial hedonic modelling adjusted for preferential sampling
L Paci, A E Gelfand, M A Beamonte, P Gargallo and M Salvador

Data-driven transformations in small area estimation
N Rojas-Perilla, S Pannier, T Schmid and N Tzavidis

Causal inference with multistate models—estimands and estimators of the population attributable fraction
M von Cube, M Schumacher and M Wolkewitz

A data-driven supply-side approach for estimating cross-border Internet purchases within the European Union
Q A Meertens, C G H Diks, H J van den Herik and F W Takes

Improved secondary analysis of linked data: a framework and an illustration
R Chambers and A Diniz da Silva

Practical causal analysis for the treatment timing effect on doubly censored duration: effect of fertility on work span
N Angelov, P Johansson and M-J Lee

Creating a linked consumer register for granular demographic analysis
G Lansley, W Li and P A Longley

A latent class growth model for migrants’ remittances: an application to the German Socio-Economic Panel
S Bacci, F Bartolucci, G Bettin and C Pigini

A Bayesian approach to developing a stochastic mortality model for China
J S-H Li, K Q Zhou, X Zhu, W-S Chan and F W-H Chan

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