William Link, Ph.D. (Former Employee)
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A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites
This work discusses a Bayesian approach to approximating the distribution of parameters governing nonlinear structural systems. Specifically, we use a Markov Chain Monte Carlo method for sampling the posterior parameter distributions thus producing both point and interval estimates for parameters. The method is first used to identify both linear and nonlinear parameters in a multiple degree-of-fre
Authors
J.M. Nichols, W. A. Link, K.D. Murphy, C.C. Olson
Uncovering a latent multinomial: Analysis of mark-recapture data with misidentification
Natural tags based on DNA fingerprints or natural features of animals are now becoming very widely used in wildlife population biology. However, classic capture-recapture models do not allow for misidentification of animals which is a potentially very serious problem with natural tags. Statistical analysis of misidentification processes is extremely difficult using traditional likelihood methods b
Authors
W. A. Link, J. Yoshizaki, L.L. Bailey, K. H. Pollock
Spatial patterns of bee captures in North American bowl trapping surveys
1. Bowl and pan traps are now commonly used to capture bees (Hymenoptera: Apiformes) for research and surveys. 2. Studies of how arrangement and spacing of bowl traps affect captures of bees are needed to increase the efficiency of this capture technique. 3. We present results from seven studies of bowl traps placed in trapping webs, grids, and transects in four North American ecoregions (Mid-At
Authors
Sam Droege, Vincent J. Tepedino, Gretchen Lebuhn, William Link, Robert L. Minckley, Qian Chen, Casey Conrad
Estimating migratory game-bird productivity by integrating age ratio and banding data
Context: Reproduction is a critical component of fitness, and understanding factors that influence temporal and spatial dynamics in reproductive output is important for effective management and conservation. Although several indices of reproductive output for wide-ranging species, such as migratory birds, exist, there has been no theoretical justification for their estimators or associated measure
Authors
G.S. Zimmerman, W. A. Link, M.J. Conroy, J.R. Sauer, K.D. Richkus, G. Scott Boomer
Bayes factors and multimodel inference
Multimodel inference has two main themes: model selection, and model averaging. Model averaging is a means of making inference conditional on a model set, rather than on a selected model, allowing formal recognition of the uncertainty associated with model choice. The Bayesian paradigm provides a natural framework for model averaging, and provides a context for evaluation of the commonly used AI
Authors
W. A. Link, R. J. Barker
A Bayesian approach to identifying and tracking damage in structures
No abstract available.
Authors
J.M. Nichols, William A. Link, K.D. Murphy, C.C. Olson, F. Bucholtz, J.V. Michalowicz
Postcatastrophe population dynamics and density dependence of an endemic island duck
Laysan ducks (Anas laysanensis) are restricted to approximately 9 km2 in the Northwestern Hawaiian Islands, USA. To evaluate the importance of density dependence for Laysan ducks, we conducted a Bayesian analysis to estimate the parameters of a Gompertz model and the magnitude of process variation and observation error based on the fluctuations in Laysan duck abundance on Laysan Island from 1994 t
Authors
N.E. Seavy, M.H. Reynolds, W. A. Link, J. S. Hatfield
An evaluation of density-dependent and density-independent influences on population growth rates in Weddell seals
Much of the existing literature that evaluates the roles of density-dependent and density-independent factors on population dynamics has been called into question in recent years because measurement errors were not properly dealt with in analyses. Using state-space models to account for measurement errors, we evaluated a set of competing models for a 22-year time series of mark-resight estimates
Authors
J.J. Rotella, W. A. Link, J. D. Nichols, G.L. Hadley, R.A. Garrott, K.M. Proffitt
Combining Breeding Bird Survey and Christmas Bird Count data to evaluate seasonal components of population change in Northern Bobwhite
Annual surveys of wildlife populations provide information about annual rates of change in populations but provide no information about when such changes occur. However, by combining data from 2 annual surveys, conducted in different parts of the year, seasonal components of population change can be estimated. We describe a hierarchical model for simultaneous analysis of 2 continent-scale monitori
Authors
W. A. Link, J.R. Sauer, D.K. Niven
Efficient implementation of the Metropolis-Hastings algorithm, with application to the Cormack-Jolly-Seber model
Judicious choice of candidate generating distributions improves efficiency of the Metropolis-Hastings algorithm. In Bayesian applications, it is sometimes possible to identify an approximation to the target posterior distribution; this approximate posterior distribution is a good choice for candidate generation. These observations are applied to analysis of the Cormack-Jolly-Seber model and its ex
Authors
W. A. Link, R. J. Barker
Apparent tolerance of turkey vultures (Cathartes aura) to the non-steroidal anti-inflammatory drug diclofenac
The nonsteroidal anti‐inflammatory drug diclofenac is extremely toxic to Old World Gyps vultures (median lethal dose ∼0.1–0.2 mg/kg), evoking visceral gout, renal necrosis, and mortality within a few days of exposure. Unintentional secondary poisoning of vultures that fed upon carcasses of diclofenac‐treated livestock decimated populations in the Indian subcontinent. Because of the widespread use
Authors
Barnett A. Rattner, M.A. Whitehead, G. Gasper, C.U. Meteyer, W. A. Link, M.A. Taggart, A.A. Meharg, O. H. Pattee, D.J. Pain
Efficient implementation of the Metropolis-Hastings algorithm, with application to the Cormack?Jolly?Seber model
Judicious choice of candidate generating distributions improves efficiency of the Metropolis-Hastings algorithm. In Bayesian applications, it is sometimes possible to identify an approximation to the target posterior distribution; this approximate posterior distribution is a good choice for candidate generation. These observations are applied to analysis of the Cormack?Jolly?Seber model and its
Authors
W. A. Link, R. J. Barker
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Filter Total Items: 124
A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites
This work discusses a Bayesian approach to approximating the distribution of parameters governing nonlinear structural systems. Specifically, we use a Markov Chain Monte Carlo method for sampling the posterior parameter distributions thus producing both point and interval estimates for parameters. The method is first used to identify both linear and nonlinear parameters in a multiple degree-of-freAuthorsJ.M. Nichols, W. A. Link, K.D. Murphy, C.C. OlsonUncovering a latent multinomial: Analysis of mark-recapture data with misidentification
Natural tags based on DNA fingerprints or natural features of animals are now becoming very widely used in wildlife population biology. However, classic capture-recapture models do not allow for misidentification of animals which is a potentially very serious problem with natural tags. Statistical analysis of misidentification processes is extremely difficult using traditional likelihood methods bAuthorsW. A. Link, J. Yoshizaki, L.L. Bailey, K. H. PollockSpatial patterns of bee captures in North American bowl trapping surveys
1. Bowl and pan traps are now commonly used to capture bees (Hymenoptera: Apiformes) for research and surveys. 2. Studies of how arrangement and spacing of bowl traps affect captures of bees are needed to increase the efficiency of this capture technique. 3. We present results from seven studies of bowl traps placed in trapping webs, grids, and transects in four North American ecoregions (Mid-AtAuthorsSam Droege, Vincent J. Tepedino, Gretchen Lebuhn, William Link, Robert L. Minckley, Qian Chen, Casey ConradEstimating migratory game-bird productivity by integrating age ratio and banding data
Context: Reproduction is a critical component of fitness, and understanding factors that influence temporal and spatial dynamics in reproductive output is important for effective management and conservation. Although several indices of reproductive output for wide-ranging species, such as migratory birds, exist, there has been no theoretical justification for their estimators or associated measureAuthorsG.S. Zimmerman, W. A. Link, M.J. Conroy, J.R. Sauer, K.D. Richkus, G. Scott BoomerBayes factors and multimodel inference
Multimodel inference has two main themes: model selection, and model averaging. Model averaging is a means of making inference conditional on a model set, rather than on a selected model, allowing formal recognition of the uncertainty associated with model choice. The Bayesian paradigm provides a natural framework for model averaging, and provides a context for evaluation of the commonly used AIAuthorsW. A. Link, R. J. BarkerA Bayesian approach to identifying and tracking damage in structures
No abstract available.AuthorsJ.M. Nichols, William A. Link, K.D. Murphy, C.C. Olson, F. Bucholtz, J.V. MichalowiczPostcatastrophe population dynamics and density dependence of an endemic island duck
Laysan ducks (Anas laysanensis) are restricted to approximately 9 km2 in the Northwestern Hawaiian Islands, USA. To evaluate the importance of density dependence for Laysan ducks, we conducted a Bayesian analysis to estimate the parameters of a Gompertz model and the magnitude of process variation and observation error based on the fluctuations in Laysan duck abundance on Laysan Island from 1994 tAuthorsN.E. Seavy, M.H. Reynolds, W. A. Link, J. S. HatfieldAn evaluation of density-dependent and density-independent influences on population growth rates in Weddell seals
Much of the existing literature that evaluates the roles of density-dependent and density-independent factors on population dynamics has been called into question in recent years because measurement errors were not properly dealt with in analyses. Using state-space models to account for measurement errors, we evaluated a set of competing models for a 22-year time series of mark-resight estimatesAuthorsJ.J. Rotella, W. A. Link, J. D. Nichols, G.L. Hadley, R.A. Garrott, K.M. ProffittCombining Breeding Bird Survey and Christmas Bird Count data to evaluate seasonal components of population change in Northern Bobwhite
Annual surveys of wildlife populations provide information about annual rates of change in populations but provide no information about when such changes occur. However, by combining data from 2 annual surveys, conducted in different parts of the year, seasonal components of population change can be estimated. We describe a hierarchical model for simultaneous analysis of 2 continent-scale monitoriAuthorsW. A. Link, J.R. Sauer, D.K. NivenEfficient implementation of the Metropolis-Hastings algorithm, with application to the Cormack-Jolly-Seber model
Judicious choice of candidate generating distributions improves efficiency of the Metropolis-Hastings algorithm. In Bayesian applications, it is sometimes possible to identify an approximation to the target posterior distribution; this approximate posterior distribution is a good choice for candidate generation. These observations are applied to analysis of the Cormack-Jolly-Seber model and its exAuthorsW. A. Link, R. J. BarkerApparent tolerance of turkey vultures (Cathartes aura) to the non-steroidal anti-inflammatory drug diclofenac
The nonsteroidal anti‐inflammatory drug diclofenac is extremely toxic to Old World Gyps vultures (median lethal dose ∼0.1–0.2 mg/kg), evoking visceral gout, renal necrosis, and mortality within a few days of exposure. Unintentional secondary poisoning of vultures that fed upon carcasses of diclofenac‐treated livestock decimated populations in the Indian subcontinent. Because of the widespread useAuthorsBarnett A. Rattner, M.A. Whitehead, G. Gasper, C.U. Meteyer, W. A. Link, M.A. Taggart, A.A. Meharg, O. H. Pattee, D.J. PainEfficient implementation of the Metropolis-Hastings algorithm, with application to the Cormack?Jolly?Seber model
Judicious choice of candidate generating distributions improves efficiency of the Metropolis-Hastings algorithm. In Bayesian applications, it is sometimes possible to identify an approximation to the target posterior distribution; this approximate posterior distribution is a good choice for candidate generation. These observations are applied to analysis of the Cormack?Jolly?Seber model and itsAuthorsW. A. Link, R. J. Barker