Estimating population dynamics without population data
نویسندگان
چکیده
منابع مشابه
Stochastic functional population dynamics with jumps
In this paper we use a class of stochastic functional Kolmogorov-type model with jumps to describe the evolutions of population dynamics. By constructing a special Lyapunov function, we show that the stochastic functional differential equation associated with our model admits a unique global solution in the positive orthant, and, by the exponential martingale inequality with jumps, we dis...
متن کاملPopulation genetics without intraspecific data.
A central goal of computational biology is the prediction of phenotype from DNA and protein sequence data. Recent models of sequence change use in silico prediction systems to incorporate the effects of phenotype on evolutionary rates. These models have been designed for analyzing sequence data from different species and have been accompanied by statistical techniques for estimating model param...
متن کاملPopulation Dynamics of Iran from Sociological Approach
This paper examines intergenerational transmission associated with population dynamics from sociological approach. The discussion is based on the analysis of observations in a country that has experienced substantial changes in family formation resulting in one of the world's most spectacular falls in women's birth rate ever experienced in human history: Iran. Facing fundamental historical expe...
متن کاملEstimating incident population distribution from prevalent data.
A prevalent sample consists of individuals who have experienced disease incidence but not failure event at the sampling time. We discuss methods for estimating the distribution function of a random vector defined at baseline for an incident disease population when data are collected by prevalent sampling. Prevalent sampling design is often more focused and economical than incident study design ...
متن کاملEstimating recombination rates from population genetic data.
We introduce a new method for estimating recombination rates from population genetic data. The method uses a computationally intensive statistical procedure (importance sampling) to calculate the likelihood under a coalescent-based model. Detailed comparisons of the new algorithm with two existing methods (the importance sampling method of Griffiths and Marjoram and the MCMC method of Kuhner an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Environmental Economics and Management
سال: 2013
ISSN: 0095-0696
DOI: 10.1016/j.jeem.2013.09.003