Peter Jagers
Peter Jagers's research embraces population dynamics, point processes, and statistical inference, with an emphasis on the first. Presently he works on populations where reproduction tends to be large in small populations, but small in those large, and on populations where mutations may introduce fitter individuals and coexisting morphs. Another theme of his is the time and path to extinction of endangered populations.
PJ is a fellow of the Royal Swedish Academy of Sciences, the Royal Gothenburg Society, and various international societies. He holds an honorary doctorate with the Bulgarian Academy of Science.
Showing 63 publications
Amendment to: populations in environments with a soft carrying capacity are eventually extinct
Convergence of the age structure of general schemes of population processes
Limit theorems for multi-type general branching processes with population dependence
Branching Processes: A Personal Historical Perspective.
On the establishment of a mutant
Populations in environments with a soft carrying capacity are eventually extinct
Slumpvariationer i det annars upprepbara
Applied probability as theoretical science: 50 years in the applied probability community
What can be observed in real time PCR and when does it show?
On the establishment, persistence, and inevitable extinction of populations
Population Dynamics: Probabilistic Extinction, Stability, and Explosion Theorems.
On the Complete Life Career of Populations in Environments with a Finite Carrying Capacity
Tillväxt eller utdöende - ett matematiskt mönster i biologi och samhälle
Dependence and interaction in branching processes
Evolutionary branching in a stochastic population model with discrete mutational steps
A Decomposable Branching Process in a Markovian Environment
Extinction, persistence, and evolution.
Extinction, Persistence, and Evolution
Population-size-dependent, age-structured branching processes linger around their carrying capacity
Stochasticity in the adaptive dynamics of evolution: the bare bones
Coalescent approximation for structured populations in a stationary random environment
A plea for stochastic population dynamics.
Viability of small populations experiencing recurring catastrophes
The mixing advantage is less than 2
General branching processes conditioned on extinction are still branching processes
General branching processes in discrete time as random trees.
European regulatory agencies should employ full time statisticians
The coalescent effective size of age-structured populations.
Branching processes : variation, growth, and extinction of populations
Branching Processes: Variation, Growth, and Extinction of Populations
Reversed Galton-Watson processes in the linear fractional case
Estimation of the PCR efficiency based on a size-dependent modelling of the amplification process
Convergence to the coalescent in populations of substantially varying size
Om ekonomipriset till Kydland och Prescott
Convergence to the coalescent in populations of substantially varying size.
Branching processes in near-critical random encironments.
Stochastic fixed points for the maximum
The coalescent effective size of age-structured populations
Branching processes in near-critical random environments
Convergence to the coalescent in populations with stationary varying sizes
Random variation and concentration effects in PCR
Branching processes with deteriorating random environments
The age of a Galton-Watson population with geometric offspring distribution
The growth of general population-size-dependent branching processes year by year
Download publication list
You can download this list to your computer.
Filter and download publication list
As logged in user (Chalmers employee) you find more export functions in MyResearch.
You may also import these directly to Zotero or Mendeley by using a browser plugin. These are found herer:
Zotero Connector
Mendeley Web Importer
The service SwePub offers export of contents from Research in other formats, such as Harvard and Oxford in .RIS, BibTex and RefWorks format.
Showing 1 research projects
Towards Sexual Reproduction in General Stochastic Population Models