Search Results - "Wood, N S"

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  1. 1

    Modelling and smoothing parameter estimation with multiple quadratic penalties by Wood, S. N.

    “…Penalized likelihood methods provide a range of practical modelling tools, including spline smoothing, generalized additive models and variants of ridge…”
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  2. 2

    The EPICure study: growth and associated problems in children born at 25 weeks of gestational age or less by Wood, N S, Costeloe, K, Gibson, A T, Hennessy, E M, Marlow, N, Wilkinson, A R

    “…Aim: To define growth outcomes of a geographically defined population of extremely preterm babies. Population: The EPICure study identified all surviving…”
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  3. 3

    The EPICure study: associations and antecedents of neurological and developmental disability at 30 months of age following extremely preterm birth by Wood, N S, Costeloe, K, Gibson, A T, Hennessy, E M, Marlow, N, Wilkinson, A R

    “…Aims: To describe perinatal factors associated with later morbidity among extremely preterm children at 30 months of age corrected for prematurity. Population:…”
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  4. 4

    Partially Specified Ecological Models by Wood, Simon N.

    Published in Ecological monographs (01-02-2001)
    “…Models are useful when they are compared with data. Whether this comparison should be qualitative or quantitative depends on circumstances, but in many cases…”
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  5. 5

    Minimizing Model Fitting Objectives That Contain Spurious Local Minima by Bootstrap Restarting by Wood, Simon N.

    Published in Biometrics (01-03-2001)
    “…Objective functions that arise when fitting nonlinear models often contain local minima that are of little significance except for their propensity to trap…”
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  6. 6

    Obtaining Birth and Mortality Patterns From Structured Population Trajectories by Wood, S. N.

    Published in Ecological monographs (01-02-1994)
    “…A method is presented for unravelling the demographic equation for structured populations. A solution to the McKendrick-von Foerster equation is constructed…”
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  7. 7

    Thin plate regression splines by Wood, Simon N.

    “…I discuss the production of low rank smoothers for d ⩾ 1 dimensional data, which can be fitted by regression or penalized regression methods. The smoothers are…”
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  8. 8

    Improving ecological impact assessment by statistical data synthesis using process-based models by Demyanov, V., Wood, S. N., Kedwards, T. J.

    Published in Applied statistics (01-01-2006)
    “…Population dynamic modelling often entails parameterizing quite sophisticated biological and ecological mechanisms. For models of moderate mechanistic…”
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  9. 9

    Why Do Populations Cycle? A Synthesis of Statistical and Mechanistic Modeling Approaches by Kendall, Bruce E., Briggs, Cheryl J., Murdoch, William W., Turchin, Peter, Ellner, Stephen P., McCauley, Edward, Nisbet, Roger M., Wood, Simon N.

    Published in Ecology (Durham) (01-09-1999)
    “…Population cycles have long fascinated ecologists. Even in the most-studied populations, however, scientists continue to dispute the relative importance of…”
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  10. 10

    GAMs with integrated model selection using penalized regression splines and applications to environmental modelling by Wood, Simon N., Augustin, Nicole H.

    Published in Ecological modelling (30-11-2002)
    “…Generalized additive models (GAMs) have been popularized by the work of Hastie and Tibshirani ( Generalized Additive Models (1990)) and the availability of…”
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  11. 11

    Calibrating remotely sensed chlorophyll-a data by using penalized regression splines by Clarke, E. D., Speirs, D. C., Heath, M. R., Wood, S. N., Gurney, W. S. C., Holmes, S. J.

    Published in Applied statistics (01-05-2006)
    “…The distribution and biomass of phytoplankton in the upper layers of the ocean are important indicators of productivity and carbon cycling. Large scale…”
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  12. 12

    Neurologic and Developmental Disability after Extremely Preterm Birth by Wood, Nicholas S, Marlow, Neil, Costeloe, Kate, Gibson, Alan T, Wilkinson, Andrew R

    Published in The New England journal of medicine (10-08-2000)
    “…Most studies that describe the outcome of premature infants are based on birth weight and thus confound the effects of extremely preterm birth with those of…”
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  13. 13

    Space, Time and Persistence of Virulent Pathogens by Wood, S. N., Thomas, M. B.

    “…Epidemiological theory predicts that pathogens of high virulence should not become endemic. We show, using an empirically based lattice map model, that a…”
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  14. 14
  15. 15

    Super–sensitivity to structure in biological models by Wood, Simon N., Thomas, Matthew B.

    “…Applied scientific disciplines use mathematical models to make predictions. In the majority of cases these models are constructed using plausible mathematical…”
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  16. 16

    Mortality Estimation for Planktonic Copepods: Pseudocalanus newmani in a Temperate Fjord by Ohman, Mark D., Wood, Simon N.

    Published in Limnology and oceanography (01-01-1996)
    “…The population surface method for estimating mortality was modified to incorporate diapause of copepodid stage 5 and missing naupliar stages and applied to a…”
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  17. 17

    Evaluating the Effects of a Biopesticide on Populations of the Variegated Grasshopper, Zonocerus variegatus by Thomas, M. B., Langewald, J., Wood, S. N.

    Published in The Journal of applied ecology (01-12-1996)
    “…1. A field trial was conducted to investigate the efficacy of an oil formulation of the fungal entomopathogen, Metarhizium flavoviride, for control of the…”
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  18. 18

    Dynamical Effects of Plant Quality and Parasitism on Population Cycles of Larch Budmoth by Turchin, Peter, Wood, Simon N., Ellner, Stephen P., Kendall, Bruce E., Murdoch, William W., Fischlin, Andreas, Casas, Jêrome, McCauley, Edward, Briggs, Cheryl J.

    Published in Ecology (Durham) (01-05-2003)
    “…Population cycles have been remarkably resistant to explanation, in part because crucial experiments are rarely possible on appropriate spatial and temporal…”
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  19. 19

    On p-values for smooth components of an extended generalized additive model by WOOD, SIMON N.

    Published in Biometrika (01-03-2013)
    “…The problem of testing smooth components of an extended generalized additive model for equality to zero is considered. Confidence intervals for such components…”
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  20. 20

    On the degrees of freedom of the smoothing parameter by Säfken, B, Kneib, T, Wood, S N

    Published in Biometrika (10-10-2024)
    “…Abstract The smoothing parameters in a semiparametric model are estimated based on criteria such as generalized cross-validation or restricted maximum…”
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