William Link, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 44
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A Bayesian approach to identifying and tracking damage in structures 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 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...
Authors
N.E. Seavy, M.H. Reynolds, W.A. Link, Jeff S. Hatfield
An evaluation of density-dependent and density-independent influences on population growth rates in Weddell seals 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...
Authors
J.J. Rotella, W.A. Link, J.D. Nichols, G.L. Hadley, R.A. Garrott, K.M. Proffitt
A hierarchical model for estimating change in American Woodcock populations A hierarchical model for estimating change in American Woodcock populations
The Singing-Ground Survey (SGS) is a primary source of information on population change for American woodcock (Scolopax minor). We analyzed the SGS using a hierarchical log-linear model and compared the estimates of change and annual indices of abundance to a route regression analysis of SGS data. We also grouped SGS routes into Bird Conservation Regions (BCRs) and estimated population...
Authors
J.R. Sauer, W.A. Link, W. L. Kendall, J.R. Kelley, D.K. Niven
Efficient implementation of the Metropolis-Hastings algorithm, with application to the Cormack-Jolly-Seber model 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...
Authors
W.A. Link, R. J. Barker
Efficient implementation of the Metropolis-Hastings algorithm, with application to the Cormack?Jolly?Seber model 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...
Authors
W.A. Link, R. J. Barker
Science and Products
Filter Total Items: 44
No results found.
Filter Total Items: 128
A Bayesian approach to identifying and tracking damage in structures 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 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...
Authors
N.E. Seavy, M.H. Reynolds, W.A. Link, Jeff S. Hatfield
An evaluation of density-dependent and density-independent influences on population growth rates in Weddell seals 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...
Authors
J.J. Rotella, W.A. Link, J.D. Nichols, G.L. Hadley, R.A. Garrott, K.M. Proffitt
A hierarchical model for estimating change in American Woodcock populations A hierarchical model for estimating change in American Woodcock populations
The Singing-Ground Survey (SGS) is a primary source of information on population change for American woodcock (Scolopax minor). We analyzed the SGS using a hierarchical log-linear model and compared the estimates of change and annual indices of abundance to a route regression analysis of SGS data. We also grouped SGS routes into Bird Conservation Regions (BCRs) and estimated population...
Authors
J.R. Sauer, W.A. Link, W. L. Kendall, J.R. Kelley, D.K. Niven
Efficient implementation of the Metropolis-Hastings algorithm, with application to the Cormack-Jolly-Seber model 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...
Authors
W.A. Link, R. J. Barker
Efficient implementation of the Metropolis-Hastings algorithm, with application to the Cormack?Jolly?Seber model 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...
Authors
W.A. Link, R. J. Barker