5,658 research outputs found
Anja Becker u. Jan Mohr (Hgg.): Alterität als Leitkonzept für historisches Interpretieren
No full textBenz M. Alterität als Leitkonzept für historisches Interpretieren, hrsg. v. Anja Becker u. Jan Mohr, Berlin: Akademie Verlag, 2012. Beiträge zur Geschichte der deutschen Sprache und Literatur. 2014;136(1):137-142
Voter models with heterozygosity selection
No full textThis paper studies variations of the usual voter model that favor types that are locally less common. Such models are dual to certain systems of branching annihilating random walks that are parity preserving. For both the voter models and their dual branching annihilating systems we determine all homogeneous invariant laws, and we study convergence to these laws started from other initial laws
Subcritical contact processes seen from a typical infected site
No full textWhat is the long-time behavior of the law of a contact process started with a single infected site, distributed according to counting measure on the lattice? This question is related to the configuration as seen from a typical infected site and gives rise to the definition of so-called eigenmeasures, which are possibly infinite measures on the set of nonempty configurations that are preserved under the dynamics up to a time-dependent exponential factor. In this paper, we study eigenmeasures of contact processes on general countable groups in the subcritical regime. We prove that in this regime, the process has a unique spatially homogeneous eigenmeasure. As an application, we show that the law of the process as seen from a typical infected site, chosen according to a Campbell law, converges to a long-time limit. We also show that the exponential decay rate of the expected number of infected sites is continuously differentiable and strictly increasing as a function of the recovery rate, and we give a formula for the derivative in terms of the long time limit law of the process as seen from a typical infected site
sj-R-2-smm-10.1177_09622802221133551 - Supplemental material for A connection between survival multistate models and causal inference for external treatment interruptions
No full textSupplemental material, sj-R-2-smm-10.1177_09622802221133551 for A connection between survival multistate models and causal inference for external treatment interruptions by Alexandra Erdmann, Anja Loos and Jan Beyersmann in Statistical Methods in Medical Research</p
sj-pdf-1-smm-10.1177_09622802221133551 - Supplemental material for A connection between survival multistate models and causal inference for external treatment interruptions
No full textSupplemental material, sj-pdf-1-smm-10.1177_09622802221133551 for A connection between survival multistate models and causal inference for external treatment interruptions by Alexandra Erdmann, Anja Loos and Jan Beyersmann in Statistical Methods in Medical Research</p
Tightness of voter model interfaces
No full textConsider a long-range, one-dimensional voter model started with all zeroes on the negative integers and all ones on the positive integers. If the process obtained by identifying states that are translations of each other is positively recurrent, then it is said that the voter model exhibits interface tightness. In 1995, Cox and Durrett proved that one-dimensional voter models exhibit interface tightness if their infection rates have a finite third moment. Recently, Belhaouari, Mountford, and Valle have improved this by showing that a finite second moment suffices. The present paper gives a new short proof of this fact. We also prove interface tightness for a long range swapping voter model, which has a mixture of long range voter model and exclusion process dynamics
Supplemental material for Bayesian Phase II optimization for time-to-event data based on historical information
No full textSupplemental Material for Bayesian Phase II optimization for time-to-event data based on historical information by Anja Bertsche, Frank Fleischer, Jan Beyersmann and Gerhard Nehmiz in Statistical Methods in Medical Research</p
Code - Supplemental material for Bayesian Phase II optimization for time-to-event data based on historical information
No full textSupplemental material, Code for Bayesian Phase II optimization for time-to-event data based on historical information by Anja Bertsche, Frank Fleischer, Jan Beyersmann and Gerhard Nehmiz in Statistical Methods in Medical Research</p
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