Search Results - "Byron J. T. Morgan"

State‐space models for ecological time‐series data: Practical model‐fitting by Newman, Ken, King, Ruth, Elvira, Víctor, Valpine, Perry, McCrea, Rachel S., Morgan, Byron J. T.

“…State‐space models are an increasingly common and important tool in the quantitative ecologists’ armoury, particularly for the analysis of time‐series data…”
Get full text

Efficient occupancy model-fitting for extensive citizen-science data by Dennis, Emily B, Morgan, Byron J T, Freeman, Stephen N, Ridout, Martin S, Brereton, Tom M, Fox, Richard, Powney, Gary D, Roy, David B

“…Appropriate large-scale citizen-science data present important new opportunities for biodiversity modelling, due in part to the wide spatial coverage of…”
Get full text

Estimating Population Size and Hidden Demographic Parameters with State‐Space Modeling by Tavecchia, Giacomo, Besbeas, Panagiotis, Coulson, Tim, Morgan, Byron J. T., Clutton‐Brock, Tim H.

“…Recent research has shown how process variability and measurement error in ecological time series can be separated using state‐space modeling techniques to…”
Get full text

Breeding together: modeling synchrony in productivity in a seabird community by Lahoz-Monfort, José J, Morgan, Byron J. T, Harris, Michael P, Daunt, Francis, Wanless, Sarah, Freeman, Stephen N

“…With environmental conditions changing rapidly, there is a need to move beyond single-species models and consider how communities respond to environmental…”
Get full text

Number and Transmission of [PSI+] Prion Seeds (Propagons) in the Yeast Saccharomyces cerevisiae by Byrne, Lee J, Cole, Diana J, Cox, Brian S, Ridout, Martin S, Morgan, Byron J.T, Tuite, Mick F

“…Background: Yeast (Saccharomyces cerevisiae) prions are efficiently propagated and the on-going generation and transmission of prion seeds (propagons) to…”
Get full text

Using citizen science butterfly counts to predict species population trends by Dennis, Emily B., Morgan, Byron J.T., Brereton, Tom M., Roy, David B., Fox, Richard

“…Citizen scientists are increasingly engaged in gathering biodiversity information, but trade-offs are often required between public engagement goals and…”
Get full text

Continuous Covariates in Mark-Recapture-Recovery Analysis: A Comparison of Methods by Bonner, Simon J., Morgan, Byron J. T., King, Ruth

“…Summary Time varying, individual covariates are problematic in experiments with marked animals because the covariate can typically only be observed when each…”
Get full text

Bayesian analysis of Jolly-Seber type models: Incorporating heterogeneity in arrival and departure by Matechou, Eleni, Nicholls, Geoff K., Morgan, Byron J. T., Collazo, Jaime A., Lyons, James E.

“…We propose the use of finite mixtures of continuous distributions in modelling the process by which new individuals, that arrive in groups, become part of a…”
Get full text

Exploring individual quality in a wild population of red deer by Moyes, Kelly, Morgan, Byron J.T, Morris, Alison, Morris, Sean J, Clutton-Brock, Tim H, Coulson, Tim

“…1. A wide range of measures are used to quantify 'individual quality', with the term often used but not defined. 2. Here we use detailed data from a population…”
Get full text

Computational aspects of N‐mixture models by Dennis, Emily B, Morgan, Byron J.T, Ridout, Martin S

“…The N‐mixture model is widely used to estimate the abundance of a population in the presence of unknown detection probability from only a set of counts subject…”
Get full text

Parameter redundancy with covariates by Cole, Diana J., Morgan, Byron J. T.

“…We show how to determine the parameter redundancy status of a model with covariates from that of the same model without covariates, thereby simplifying the…”
Get full text

rGAI: An R package for fitting the generalized abundance index to seasonal count data by Dennis, Emily B., Fagard‐Jenkin, Calliste, Morgan, Byron J. T.

“…The generalized abundance index (GAI) provides a useful tool for estimating relative population sizes and trends of seasonal invertebrates from species' count…”
Get full text

Cell Division Is Essential for Elimination of the Yeast [PSI⁺] Prion by Guanidine Hydrochloride by Byrne, Lee J., Cox, Brian S., Cole, Diana J., Ridout, Martin S., Morgan, Byron J. T., Tuite, Mick F.

“…Guanidine hydrochloride (Gdn·HCl) blocks the propagation of yeast prions by inhibiting Hsp104, a molecular chaperone that is absolutely required for yeast…”
Get full text

A Generic Method for Estimating and Smoothing Multispecies Biodiversity Indicators Using Intermittent Data by Freeman, Stephen N., Isaac, Nicholas J. B., Besbeas, Panagiotis, Dennis, Emily B., Morgan, Byron J. T.

“…Biodiversity indicators summarise extensive, complex ecological data sets and are important in influencing government policy. Component data consist of…”
Get full text

Bringing It All Together: Multi-species Integrated Population Modelling of a Breeding Community by Lahoz-Monfort, José J., Harris, Michael P., Wanless, Sarah, Freeman, Stephen N., Morgan, Byron J. T.

“…Integrated population models (IPMs) combine data on different aspects of demography with time-series of population abundance. IPMs are becoming increasingly…”
Get full text

Modelling cell generation times by using the tempered stable distribution by Palmer, Karen J., Ridout, Martin S., Morgan, Byron J. T.

“…We show that the family of tempered stable distributions has considerable potential for modelling cell generation time data. Several real examples illustrate…”
Get full text

Exploring the consequences of reducing survey effort for detecting individual and temporal variability in survival by Lahoz‐Monfort, José J, Harris, Michael P, Morgan, Byron J. T, Freeman, Stephen N, Wanless, Sarah, Frederiksen, Morten

“…Long‐term monitoring programmes often involve substantial input of skilled staff time. In mark–recapture studies, considerable effort is usually devoted to…”
Get full text

Identification and Characterization of Novel Spliced Variants of Neuregulin 4 in Prostate Cancer by HAYES, Nandini V. L, BLACKBURN, Edith, SMART, Laura V, BOYLE, Mary M, RUSSELL, Graham A, FROST, Teresa M, MORGAN, Byron J. T, BAINES, Anthony J, GULLICK, William J

“…Purpose: The neuregulin (NRG) 1, 2, and 3 genes undergo extensive alternative mRNA splicing, which results in variants that show structural and functional…”
Get full text

Dynamic Models for Longitudinal Butterfly Data by Dennis, Emily B, Morgan, Byron J. T, Freeman, Stephen N, Roy, David B, Brereton, Tom

“…We present models which provide succinct descriptions of longitudinal seasonal insect count data. This approach produces, for the first time, estimates of the…”
Get full text

Statistical ecology comes of age by Gimenez, Olivier, Buckland, Stephen T., Morgan, Byron J. T., Bez, Nicolas, Bertrand, Sophie, Choquet, Rémi, Dray, Stéphane, Etienne, Marie-Pierre, Fewster, Rachel, Gosselin, Frédéric, Mérigot, Bastien, Monestiez, Pascal, Morales, Juan M., Mortier, Frédéric, Munoz, François, Ovaskainen, Otso, Pavoine, Sandrine, Pradel, Roger, Schurr, Frank M., Thomas, Len, Thuiller, Wilfried, Trenkel, Verena, de Valpine, Perry, Rexstad, Eric

“…The desire to predict the consequences of global environmental change has been the driver towards more realistic models embracing the variability and…”
Get full text