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In this paper, the recurrent events that can occur more than one over the follow-up time have been modeled by phase-type distributions. We use the finite-state continuous-time Markov process with multi states for patients with recurrent…

Methodology · Statistics 2022-01-26 Roufeh Asghari , Amin Hassan Zadeh

Human longevity leaders with remarkably long lifespan play a crucial role in the advancement of longevity research. In this paper, we propose a stochastic model to describe the evolution of the age of the oldest person in the world by a…

Populations and Evolution · Quantitative Biology 2024-09-06 Csaba Kiss , László Németh , Bálint Vető

Consider a system evolving according to an absorbing discrete-time Markov chain with known transition matrix. The state of the system is observed at two points in time, separated by an unknown number of generations. We are interested in…

Probability · Mathematics 2015-11-04 Bianca De Sanctis , A. P. Jason de Koning

We consider a class of branching processes called Markovian binary trees, in which the individuals lifetime and reproduction epochs are modeled using a transient Markovian arrival process (TMAP). We estimate the parameters of the TMAP based…

Applications · Statistics 2020-10-26 Sophie Hautphenne , Melanie Massaro , Katharine Turner

Many insurance products and pension plans provide benefits which are related to couples, and thus under influence of the survival status of two lives. Some studies show the future lifetime of couples is correlated. Three reasons are…

Applications · Statistics 2018-06-27 Amin Hassan Zadeh , Soroush Amirhashchi

We consider a stochastic individual based model where each predator searches during a random time and then manipulates its prey or rests. The time distributions may be non-exponential. An age structure allows to describe these interactions…

Dynamical Systems · Mathematics 2021-03-31 Vincent Bansaye , Bertand Cloez

We derive the first conditionally consistent estimators for a class of parametric Markov population models with logistic growth, which are suitable for modelling endangered populations in restricted habitats with a carrying capacity. We…

Statistics Theory · Mathematics 2024-12-05 Peter Braunsteins , Sophie Hautphenne , Carmen Minuesa

This paper studies: (i) the long time behaviour of the empirical distribution of age and normalised position of an age dependent critical branching Markov process conditioned on non-extinction; and (ii) the super-process limit of a sequence…

Probability · Mathematics 2007-05-23 Krishna Athreya , Siva Athreya , Srikanth Iyer

In this paper, we demonstrate through the use of matrix calculus a transparent analysis of fractional inhomogeneous Markov models for life insurance where transition matrices commute. The resulting formulae are intuitive matrix…

Probability · Mathematics 2021-10-25 Martin Bladt

We develop theoretical equivalences between stochastic and deterministic models for populations of individual cells stratified by age. Specifically, we develop a hierarchical system of equations describing the full dynamics of an…

Populations and Evolution · Quantitative Biology 2022-06-29 Joshua C. Kynaston , Chris Guiver , Christian A. Yates

The GREM-like trap model is a continuous time Markov jump process on the leaves of a finite volume $L$-level tree whose transition rates depend on a trapping landscape built on the vertices of the whole tree. We prove that the natural…

Probability · Mathematics 2015-01-14 Véronique Gayrard , Onur Gün

We review the ageing phenomenon in the context of simplest trap model, Bouchaud's REM-like trap model from a spectral theoretic point of view. We show that the generator of the dynamics of this model can be diagonalised exactly. Using this…

Probability · Mathematics 2007-05-23 A. Bovier , A. Faggionato

The death of a biological population is an extreme event which we investigate here for a host-parasitoid system. Our simulations using the Penna ageing model show how biological evolution can ``teach'' the parasitoids to avoid extinction by…

Populations and Evolution · Quantitative Biology 2009-11-13 Dietrich Stauffer , Ana Proykova , Karl-Heinz Lampe

We consider a non-equilibrium three-state model whose dynamics is Markovian and displays the same symmetry as the three-state Potts model, i.e., the transition rates are invariant under the permutation of the states. Unlike the Potts model,…

Statistical Mechanics · Physics 2015-05-20 Christophe Chatelain , Tânia Tomé , Mario J. De Oliveira

We present a model for biological aging that considers the number of individuals whose (inherited) genetic charge determines the maximum age for death: each individual may die before that age due to some external factor, but never after…

adap-org · Physics 2008-02-03 R. M. C. de Almeida , S. Moss de Oliveira , T. J. P. Penna

Under rapid undercooling, glass forming liquids freeze in an amorphous state that can equilibrate only on enormously long time-scales, This is the characteristic sign of aging, which has been observed in a wide range of systems. Brownian…

Statistical Mechanics · Physics 2023-03-01 Karina I Mazzitello , Daniel G Zarlenga , Fereydoon Family , Constancio M Arizmendi

A phase-type distribution is the distribution of the time until absorption in a finite state-space time-homogeneous Markov jump process, with one absorbing state and the rest being transient. These distributions are mathematically tractable…

Statistics Theory · Mathematics 2021-12-08 Martin Bladt , Jorge Yslas

We review the aging phenomenon in the context of the simplest trap model, Bouchaud's REM-like trap model, from a spectral theoretic point of view. We show that the generator of the dynamics of this model can be diagonalized exactly. Using…

Probability · Mathematics 2007-05-23 Anton Bovier , Alessandra Faggionato

A discrete time branching process where the offspring distribution is generation-dependent, and the number of reproductive individuals is controlled by a random mechanism is considered. This model is a Markov chain but, in general, the…

Probability · Mathematics 2024-01-30 Miguel González , Carmen Minuesa , Manuel Mota , Inés del Puerto , Alfonso Ramos

Many biological and medical questions can be modeled using time-to-event data in finite-state Markov chains, with the phase-type distribution describing intervals between events. We solve the inverse problem: given a phase-type…

Dynamical Systems · Mathematics 2024-11-19 Ovidiu Radulescu , Dima Grigoriev , Matthias Seiss , Maria Douaihy , Mounia Lagha , Edouard Bertrand
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