Including a spatial predictive process in band recovery models improves inference for Lincoln estimates of animal abundance
Sign Up to like & getrecommendations! Published in 2022 at "Ecology and Evolution"
DOI: 10.1002/ece3.9444
Abstract: Abstract Abundance estimation is a critical component of conservation planning, particularly for exploited species where managers set regulations to restrict harvest based on current population size. An increasingly common approach for abundance estimation is through… read more here.
Keywords: spatial predictive; predictive process; abundance; band recovery ... See more keywords
How do I update my model? On the resilience of Predictive Process Monitoring models to change
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DOI: 10.1007/s10115-022-01666-9
Abstract: Existing well-investigated Predictive Process Monitoring techniques typically construct a predictive model based on past process executions and then use this model to predict the future of new ongoing cases, without the possibility of updating it… read more here.
Keywords: process; process monitoring; predictive process; update model ... See more keywords
Efficient estimation of SNP heritability using Gaussian predictive process in large scale cohort studies
Sign Up to like & getrecommendations! Published in 2022 at "PLoS Genetics"
DOI: 10.1371/journal.pgen.1010151
Abstract: With the advent of high throughput genetic data, there have been attempts to estimate heritability from genome-wide SNP data on a cohort of distantly related individuals using linear mixed model (LMM). Fitting such an LMM… read more here.
Keywords: heritability; scale cohort; large scale; predictive process ... See more keywords