Journal Series C


Series CApplied statistics

Impact Factor: 1.344 ISI Journal Citation Reports © Ranking: 2018: 46/123 (Statistics and Probability)

Series C looks at solutions to real life statistical problems. The papers are motivated by practical examples and statistical data of all kinds, rather than methodological developments. The subject matter covers a range of interdisciplinary fields, e.g. applications in agriculture, genetics, industry, medicine and the physical sciences.

Papers make a novel contribution to statistics by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods. A deep understanding of statistical methodology is not necessary to appreciate the content. Although papers describing developments in statistical computing are within its scope, the journal is not concerned with brief numerical illustrations or simulation studies. The emphasis is on statistical analyses in practice.

Published five times a year by Wiley.

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We have a plethora of international experts covering a broad range of statistics as part of the editorial panel for Journal Series C.

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

  • Current and forthcoming papers

    Volume 69 (2020), part 1

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

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

    Zoom-in–out joint graphical lasso for different coarseness scales
    E Pircalabelu, G Claeskens and L J Waldorp

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

    Estimating the probability of default for no-default and low-default portfolios
    O Blümke

    Bayesian modelling of marked point processes with incomplete records: volcanic eruptions
    T Wang, M Schofield, M Bebbington and K Kiyosugi

    A full Bayesian implementation of a generalized partial credit model with an application to an international disability survey
    S K Sahu, Mark R Bass, C Sabariego, A Cieza, C S Fellinghauer and S Chatterji

    A time-varying Bayesian joint hierarchical copula model for analysing recurrent events and a terminal event: an application to the Cardiovascular Health Study
    Z Li, V M Chinchilli and M Wang

    Inference for biomedical data by using diffusion models with covariates and mixed effects
    M Große Ruse, A Samson and S Ditlevsen

    Modelling and prediction of financial trading networks: an application to the New York Mercantile Exchange natural gas futures market
    B Betancourt, A Rodriguez and N Boyd

    Forthcoming papers

    Structured penalized regression for drug sensitivity prediction
    Z Zhao and M Zucknick

    Estimating seal pup production in the Greenland Sea by using Bayesian hierarchical modelling
    M Jullum, T Thorarinsdottir and F E Bachl

    A flexible parametric modelling framework for survival analysis
    K Burke, M C Jones and A Noufaily

    Factor-augmented Bayesian cointegration models: a case-study on the soybean crush spread
    M Marowka, G W Peters, N Kantas and G Bagnarosa

    Using Cox regression to develop linear rank tests with zero-inflated clustered data
    S R Lipsitz, G M Fitzmaurice, D Sinha, A P Cole, C P Meyer and Q-D Trinh

    Estimation and inference in mixed effect regression models using shape constraints, with application to tree height estimation
    X Liao and M C Meyer

    Modelling environment DNA data; Bayesian variable selection accounting for false positive and false negative errors
    J E Griffin, E Matechou, A S Buxton, D Bormpoudakis and R A Griffiths

    Assessing heterogeneity in transition propensity in multistate capture–recapture data
    A Jeyam, R McCrea and R Pradel

    The analysis of transformations for profit-and-loss data
    A C Atkinson, M Riani and A Corbellini

    Modelling the spatial extent and severity of extreme European windstorms
    P Sharkey, J A Tawn and S J Brown