William Link, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 44
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Filter Total Items: 128
Demographic analysis from summaries of an age-structured population Demographic analysis from summaries of an age-structured population
Demographic analyses of age-structured populations typically rely on life history data for individuals, or when individual animals are not identified, on information about the numbers of individuals in each age class through time. While it is usually difficult to determine the age class of a randomly encountered individual, it is often the case that the individual can be readily and...
Authors
William A. Link, J. Andrew Royle, Jeff S. Hatfield
Nonidentifiability of population size from capture-recapture data with heterogeneous detection probabilities Nonidentifiability of population size from capture-recapture data with heterogeneous detection probabilities
Heterogeneity in detection probabilities has long been recognized as problematic in mark-recapture studies, and numerous models developed to accommodate its effects. Individual heterogeneity is especially problematic, in that reasonable alternative models may predict essentially identical observations from populations of substantially different sizes. Thus even with very large samples...
Authors
W.A. Link
Using Christmas Bird Count data in analysis of population change Using Christmas Bird Count data in analysis of population change
The scientific credibility of Christmas Bird Count (CBC) results depend on the development and implementation of appropriate methods of statistical analysis. The key to any successful analysis of CBC data is to begin with a careful review of how the limitations of the data are likely to influence the results of the analysis, then to choose methods of analysis that accommodate as much as...
Authors
J.R. Sauer, W.A. Link
Occam's shadow: levels of analysis in evolutionary ecology - where to next? Occam's shadow: levels of analysis in evolutionary ecology - where to next?
Evolutionary ecology is the study of evolutionary processes, and the ecological conditions that influence them. A fundamental paradigm underlying the study of evolution is natural selection. Although there are a variety of operational definitions for natural selection in the literature, perhaps the most general one is that which characterizes selection as the process whereby heritable...
Authors
E.G. Cooch, E. Cam, W.A. Link
Of bugs and birds: Markov Chain Monte Carlo for hierarchical modeling in wildlife research Of bugs and birds: Markov Chain Monte Carlo for hierarchical modeling in wildlife research
Markov chain Monte Carlo (MCMC) is a statistical innovation that allows researchers to fit far more complex models to data than is feasible using conventional methods. Despite its widespread use in a variety of scientific fields, MCMC appears to be underutilized in wildlife applications. This may be due to a misconception that MCMC requires the adoption of a subjective Bayesian analysis...
Authors
William A. Link, Emmanuelle Cam, James D. Nichols, Evan G. Cooch
Model-based estimation of individual fitness Model-based estimation of individual fitness
Fitness is the currency of natural selection, a measure of the propagation rate of genotypes into future generations. Its various definitions have the common feature that they are functions of survival and fertility rates. At the individual level, the operative level for natural selection, these rates must be understood as latent features, genetically determined propensities existing at...
Authors
William A. Link, Evan G. Cooch, Emmanuelle Cam
Science and Products
Filter Total Items: 44
No results found.
Filter Total Items: 128
Demographic analysis from summaries of an age-structured population Demographic analysis from summaries of an age-structured population
Demographic analyses of age-structured populations typically rely on life history data for individuals, or when individual animals are not identified, on information about the numbers of individuals in each age class through time. While it is usually difficult to determine the age class of a randomly encountered individual, it is often the case that the individual can be readily and...
Authors
William A. Link, J. Andrew Royle, Jeff S. Hatfield
Nonidentifiability of population size from capture-recapture data with heterogeneous detection probabilities Nonidentifiability of population size from capture-recapture data with heterogeneous detection probabilities
Heterogeneity in detection probabilities has long been recognized as problematic in mark-recapture studies, and numerous models developed to accommodate its effects. Individual heterogeneity is especially problematic, in that reasonable alternative models may predict essentially identical observations from populations of substantially different sizes. Thus even with very large samples...
Authors
W.A. Link
Using Christmas Bird Count data in analysis of population change Using Christmas Bird Count data in analysis of population change
The scientific credibility of Christmas Bird Count (CBC) results depend on the development and implementation of appropriate methods of statistical analysis. The key to any successful analysis of CBC data is to begin with a careful review of how the limitations of the data are likely to influence the results of the analysis, then to choose methods of analysis that accommodate as much as...
Authors
J.R. Sauer, W.A. Link
Occam's shadow: levels of analysis in evolutionary ecology - where to next? Occam's shadow: levels of analysis in evolutionary ecology - where to next?
Evolutionary ecology is the study of evolutionary processes, and the ecological conditions that influence them. A fundamental paradigm underlying the study of evolution is natural selection. Although there are a variety of operational definitions for natural selection in the literature, perhaps the most general one is that which characterizes selection as the process whereby heritable...
Authors
E.G. Cooch, E. Cam, W.A. Link
Of bugs and birds: Markov Chain Monte Carlo for hierarchical modeling in wildlife research Of bugs and birds: Markov Chain Monte Carlo for hierarchical modeling in wildlife research
Markov chain Monte Carlo (MCMC) is a statistical innovation that allows researchers to fit far more complex models to data than is feasible using conventional methods. Despite its widespread use in a variety of scientific fields, MCMC appears to be underutilized in wildlife applications. This may be due to a misconception that MCMC requires the adoption of a subjective Bayesian analysis...
Authors
William A. Link, Emmanuelle Cam, James D. Nichols, Evan G. Cooch
Model-based estimation of individual fitness Model-based estimation of individual fitness
Fitness is the currency of natural selection, a measure of the propagation rate of genotypes into future generations. Its various definitions have the common feature that they are functions of survival and fertility rates. At the individual level, the operative level for natural selection, these rates must be understood as latent features, genetically determined propensities existing at...
Authors
William A. Link, Evan G. Cooch, Emmanuelle Cam