Pages that link to "Item:Q3435669"

The following pages link to <i>N</i> ‐Mixture Models for Estimating Population Size from Spatially Replicated Counts (Q3435669):

Displaying 37 items.

• Models for Estimating Abundance from Repeated Counts of an Open Metapopulation (Q112786) (← links)
• Estimating abundance from counts in large data sets of irregularly spaced plots using spatial basis functions (Q894826) (← links)
• Population counts along elliptical habitat contours: hierarchical modeling using Poisson-lognormal mixtures with nonstationary spatial structure (Q902912) (← links)
• Models for jointly estimating abundances of two unmarked site-associated species subject to imperfect detection (Q1654544) (← links)
• Assessing the impacts of time-to-detection distribution assumptions on detection probability estimation (Q1695258) (← links)
• Posterior analysis of \(n\) in the binomial \((n,p)\) problem with both parameters unknown -- with applications to quantitative nanoscopy (Q2073722) (← links)
• Joint modeling of distances and times in point-count surveys (Q2084422) (← links)
• A hierarchical dependent Dirichlet process prior for modelling bird migration patterns in the UK (Q2179980) (← links)
• Estimating reproduction and survival of unmarked juveniles using aerial images and marked adults (Q2209849) (← links)
• Hierarchical modeling of cluster size in wildlife surveys (Q2259844) (← links)
• Bayesian spatial modeling of data from avian point count surveys (Q2259906) (← links)
• Estimating the use of public lands: integrated modeling of open populations with convolution likelihood ecological abundance regression (Q2290709) (← links)
• Bayesian binomial mixture models for estimating abundance in ecological monitoring studies (Q2349555) (← links)
• Spatially explicit models for inference about density in unmarked or partially marked populations (Q2443158) (← links)
• A hierarchical model to estimate fish abundance in Alpine streams by using removal sampling data from multiple locations (Q2786164) (← links)
• On the reliability of N-mixture models for count data (Q3119849) (← links)
• A Polya Tree Based Model for Unmarked Individuals in an Open Wildlife Population (Q3297237) (← links)
• Computational aspects of N‐mixture models (Q3465751) (← links)
• An evaluation of the Bayesian approach to fitting the N-mixture model for use with pseudo-replicated count data (Q5300805) (← links)
• Hierarchical Spatiotemporal Matrix Models for Characterizing Invasions (Q5459606) (← links)
• Capitalizing on opportunistic data for monitoring relative abundances of species (Q5739296) (← links)
• Computational efficiency and precision for replicated-count and batch-marked hidden population models (Q6045977) (← links)
• A model for analyzing clustered occurrence data (Q6079476) (← links)
• A General Modeling Framework for Open Wildlife Populations Based on the Polya Tree Prior (Q6079703) (← links)
• Wildlife population assessment: changing priorities driven by technological advances (Q6106261) (← links)
• Exact likelihoods for N-mixture models with time-to-detection data (Q6491768) (← links)
• Tailoring point counts for inference about avian density: dealing with nondetection and availability (Q6550384) (← links)
• A review of \(N\)-mixture models (Q6602040) (← links)
• Site occupancy and abundance models for analyzing multiple-visit detection/nondetection data (Q6616393) (← links)
• Modeling joint abundance of multiple species using Dirichlet process mixtures (Q6625849) (← links)
• Estimating population size with imperfect detection using a parametric bootstrap (Q6626140) (← links)
• Nonlinear reaction-diffusion process models improve inference for population dynamics (Q6626141) (← links)
• A vector of point processes for modeling interactions between and within species using capture-recapture data (Q6626520) (← links)
• Dynamic population models with temporal preferential sampling to infer phenology (Q6656001) (← links)
• Models with observation error and temporary emigration for count data (Q6665478) (← links)
• Multisite disease analytics with applications to estimating COVID-19 undetected cases in Canada (Q6665480) (← links)
• A spatially explicit \(\mathrm{N}\)-mixture model for the estimation of disease prevalence (Q6669914) (← links)