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  1. Article ; Online: Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges When There Are Nonoverlapping Lists

    Chan, Lax / Silverman, Bernard W. / Vincent, Kyle

    Journal of the American Statistical Association. 2021 July 3, v. 116, no. 535 p.1297-1306

    2021  

    Abstract: Multiple systems estimation strategies have recently been applied to quantify hard-to-reach populations, particularly when estimating the number of victims of human trafficking and modern slavery. In such contexts, it is not uncommon to see sparse or ... ...

    Abstract Multiple systems estimation strategies have recently been applied to quantify hard-to-reach populations, particularly when estimating the number of victims of human trafficking and modern slavery. In such contexts, it is not uncommon to see sparse or even no overlap between some of the lists on which the estimates are based. These create difficulties in model fitting and selection, and we develop inference procedures to address these challenges. The approach is based on Poisson log-linear regression modeling. Issues investigated in detail include taking proper account of data sparsity in the estimation procedure, as well as the existence and identifiability of maximum likelihood estimates. A stepwise method for choosing the most suitable parameters is developed, together with a bootstrap approach to finding confidence intervals for the total population size. We apply the strategy to two empirical datasets of trafficking in US regions, and find that the approach results in stable, reasonable estimates. An accompanying R software implementation has been made publicly available. Supplementary materials for this article are available online.
    Keywords computer software ; data collection ; humans ; population size ; statistical analysis ; Human trafficking; Log-linear models; Mark-recapture; Model identifiability; Model selection; Modern slavery
    Language English
    Dates of publication 2021-0703
    Size p. 1297-1306.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ZDB-ID 2064981-2
    ISSN 1537-274X
    ISSN 1537-274X
    DOI 10.1080/01621459.2019.1708748
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: Covid-19 and child criminal exploitation in the UK: implications of the pandemic for county lines.

    Brewster, Ben / Robinson, Grace / Silverman, Bernard W / Walsh, Dave

    Trends in organized crime

    2021  Volume 26, Issue 2, Page(s) 156–179

    Abstract: In March 2020, the UK was placed in lockdown following the spread of the Covid-19 virus. Just as legitimate workplaces made changes to enable their employees to work from home, the illicit drugs trade also made alternative arrangements, adapting its ... ...

    Abstract In March 2020, the UK was placed in lockdown following the spread of the Covid-19 virus. Just as legitimate workplaces made changes to enable their employees to work from home, the illicit drugs trade also made alternative arrangements, adapting its supply models to ensure continuity of operations. Based upon qualitative interviews with 46 practitioners, this paper assesses how front-line professionals have experienced and perceived the impact of Covid-19 on child criminal exploitation and County Lines drug supply in the UK. Throughout the paper, we highlight perceived adaptations to the County Lines supply model, the impact of lockdown restrictions on detection and law enforcement activities aimed at County Lines, and on efforts to safeguard children and young people from criminal exploitation. Our participants generally believed that the pandemic had induced shifts to County Lines that reflected an ongoing evolution of the drug supply model and changes in understanding or attention because of Covid-19 restrictions, rather than a complete reconstitution of the model itself. Practitioners perceived that Covid-19 has had, and continues to have, a significant impact on some young people's vulnerability to exploitation, on the way in which police and frontline practitioners respond to County Lines and child criminal exploitation, and on the way illegal drugs are being moved and sold.
    Language English
    Publishing date 2021-12-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2014206-7
    ISSN 1936-4830 ; 1084-4791
    ISSN (online) 1936-4830
    ISSN 1084-4791
    DOI 10.1007/s12117-021-09442-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

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  3. Book ; Online: The vote Package

    Raftery, Adrian E. / Ševčíková, Hana / Silverman, Bernard W.

    Single Transferable Vote and Other Electoral Systems in R

    2021  

    Abstract: We describe the vote package in R, which implements the plurality (or first-past-the-post), two-round runoff, score, approval and single transferable vote (STV) electoral systems, as well as methods for selecting the Condorcet winner and loser. We ... ...

    Abstract We describe the vote package in R, which implements the plurality (or first-past-the-post), two-round runoff, score, approval and single transferable vote (STV) electoral systems, as well as methods for selecting the Condorcet winner and loser. We emphasize the STV system, which we have found to work well in practice for multi-winner elections with small electorates, such as committee and council elections, and the selection of multiple job candidates. For single-winner elections, the STV is also called instant runoff voting (IRV), ranked choice voting (RCV), or the alternative vote (AV) system. The package also implements the STV system with equal preferences, for the first time in a software package, to our knowledge. It also implements a new variant of STV, in which a minimum number of candidates from a specified group are required to be elected. We illustrate the package with several real examples.
    Keywords Statistics - Computation ; Computer Science - Computer Science and Game Theory
    Publishing date 2021-02-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: Comment

    Silverman, Bernard W.

    Bibliometrics in the Context of the UK Research Assessment Exercise

    2009  

    Abstract: Research funding and reputation in the UK have, for over two decades, been increasingly dependent on a regular peer-review of all UK departments. This is to move to a system more based on bibliometrics. Assessment exercises of this kind influence the ... ...

    Abstract Research funding and reputation in the UK have, for over two decades, been increasingly dependent on a regular peer-review of all UK departments. This is to move to a system more based on bibliometrics. Assessment exercises of this kind influence the behavior of institutions, departments and individuals, and therefore bibliometrics will have effects beyond simple measurement. [arXiv:0910.3529]

    Comment: Published in at http://dx.doi.org/10.1214/09-STS285A the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
    Keywords Statistics - Methodology ; Computer Science - Digital Libraries ; Physics - Physics and Society
    Publishing date 2009-10-19
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Book ; Online: Warping functional data in R and C via a Bayesian multiresolution approach

    Slaets, Leen / Claeskens, Gerda / Silverman, Bernard W

    (KBI ; 1013)

    2010  

    Author's details Leen Slaets, Gerda Claeskens and Bernard Silverman
    Series title KBI ; 1013
    Language English
    Size Online-Ressource (22 S.), graph. Darst.
    Publisher Katholieke Univ. Leuven, Faculty of Business and Economics
    Publishing place Leuven
    Document type Book ; Online
    Note IMD-Felder maschinell generiert
    Database ECONomics Information System

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  6. Article: A multiresolution approach to time warping achieved by a Bayesian prior-posterior transfer fitting strategy

    Claeskens, Gerda / Silverman, Bernard W / Slaets, Leen

    Journal of the Royal Statistical Society. Series B, Statistical methodology. 2010 Nov., v. 72, no. 5

    2010  

    Abstract: Warping is an approach to the reduction and analysis of phase variability in functional observations, by applying a smooth bijection to the function argument. We propose a natural representation of warping functions in terms of a new type of elementary ... ...

    Abstract Warping is an approach to the reduction and analysis of phase variability in functional observations, by applying a smooth bijection to the function argument. We propose a natural representation of warping functions in terms of a new type of elementary functions named 'warping component functions', or 'warplets', which are combined into the warping function by composition. The inverse warping function is trivial and explicit to obtain. A sequential Bayesian estimation strategy is introduced which fits a series of models and transfers the posterior of the previous fit into the prior of the next fit. Model selection is based on a warping analogue to wavelet thresholding, combined with Bayesian inference.
    Language English
    Dates of publication 2010-11
    Size p. 673-694.
    Publisher Blackwell Publishing Ltd
    Publishing place Oxford, UK
    Document type Article
    ZDB-ID 1490719-7
    ISSN 1467-9868 ; 0035-9246 ; 1369-7412
    ISSN (online) 1467-9868
    ISSN 0035-9246 ; 1369-7412
    DOI 10.1111/j.1467-9868.2010.00752.x
    Database NAL-Catalogue (AGRICOLA)

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  7. Book: Density estimation for statistics and data analysis

    Silverman, Bernard W

    (Monographs on statistics and applied probability ; 26)

    1996  

    Author's details B.W. Silverman
    Series title Monographs on statistics and applied probability ; 26
    Language English
    Size IX, 175 S, graph. Darst
    Edition Repr
    Publisher Chapman & Hall
    Publishing place London u.a.
    Document type Book
    ISBN 0412246201 ; 9780412246203
    Database Friedrich Loeffler-Institute, Federal Research Institute for Animal Health

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    Inter-library loan at ZB MED

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  8. Article: Functional adaptive model estimation

    James, Gareth M / Silverman, Bernard W

    Journal of the American Statistical Association : JASA Vol. 100, No. 470 , p. 565-576

    2005  Volume 100, Issue 470, Page(s) 565–576

    Author's details Gareth M. James and Bernard W. Silverman
    Keywords 49
    Language English
    Size graph. Darst
    Publisher Assoc.
    Publishing place Alexandria, Va.
    Document type Article
    Note Literaturverz. S. 575 - 576
    ZDB-ID 207602-0
    Database ECONomics Information System

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  9. Book: Functional data analysis

    Ramsay, James O / Silverman, Bernard W

    (Springer series in statistics)

    2005  

    Author's details J. O. Ramsay; B. W. Silverman
    Series title Springer series in statistics
    Keywords Funktionale Datenanalyse
    Language English
    Size XIX, 426 Seiten, Diagramme
    Edition Second edition
    Publisher Springer
    Publishing place New York, NY
    Document type Book
    Note Literaturverzeichnis: Seite 405 - 418
    ISBN 038740080X ; 9780387400808
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  10. Book: Extending the scope of wavelet regression methods by coefficient-dependent thresholding

    Kovac, Arne / Silverman, Bernard W

    (Technical Report / Universität Dortmund, SFB 475 Komplexitätsreduktion in Multivariaten Datenstrukturen ; 5/1998)

    1998  

    Author's details Arne Kovac; Bernard W. Silverman
    Series title Technical Report / Universität Dortmund, SFB 475 Komplexitätsreduktion in Multivariaten Datenstrukturen ; 5/1998
    Language English
    Size 28 S, graph. Darst
    Publisher Univ., SFB 475
    Publishing place Dortmund
    Document type Book
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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