A guide to state–space modeling of ecological time series
State–space models (SSMs) are an important modeling framework for analyzing ecological
time series. These hierarchical models are commonly used to model population dynamics …
time series. These hierarchical models are commonly used to model population dynamics …
A review of integrated analysis in fisheries stock assessment
Limited data, and the requirement to provide science-based advice for exploited
populations, have led to the development of statistical methods that combine several …
populations, have led to the development of statistical methods that combine several …
Effects of various types of nanomaterials on PCM melting process in a thermal energy storage system for solar cooling application using CFD and MCMC methods
Latent heat thermal energy storage (LHTES) systems are attractive for bridging the energy
supply and demand gap. In such systems, reducing storage time is critical, especially for …
supply and demand gap. In such systems, reducing storage time is critical, especially for …
Clarifying the effect of intellectual capital on performance: the mediating role of dynamic capability
Recent studies suggest a potential relationship between intellectual capital and dynamic
capability in achieving performance. This is unsettling for managers because these studies …
capability in achieving performance. This is unsettling for managers because these studies …
Integrated population models: a novel analysis framework for deeper insights into population dynamics
Integrated population models (IPMs) represent the single, unified analysis of population
count data and demographic data. This modelling framework is quite novel and can be …
count data and demographic data. This modelling framework is quite novel and can be …
Assessing the impact of climate variation on survival in vertebrate populations
The impact of the ongoing rapid climate change on natural systems is a major issue for
human societies. An important challenge for ecologists is to identify the climatic factors that …
human societies. An important challenge for ecologists is to identify the climatic factors that …
[كتاب][B] Bayesian analysis for population ecology
Novel Statistical Tools for Conserving and Managing PopulationsBy gathering information
on key demographic parameters, scientists can often predict how populations will develop in …
on key demographic parameters, scientists can often predict how populations will develop in …
Impacts of climate change on avian populations
This review focuses on the impacts of climate change on population dynamics. I introduce
the MUP (Measuring, Understanding, and Predicting) approach, which provides a general …
the MUP (Measuring, Understanding, and Predicting) approach, which provides a general …
[كتاب][B] Applied Bayesian hierarchical methods
PD Congdon - 2010 - taylorfrancis.com
The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models
involves complex data structures and is often described as a revolutionary development. An …
involves complex data structures and is often described as a revolutionary development. An …
State-space modelling of data on marked individuals
State-space models have recently been proposed as a convenient and flexible framework
for specifying stochastic models for the dynamics of wild animal populations. Here we focus …
for specifying stochastic models for the dynamics of wild animal populations. Here we focus …