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Artykuły w czasopismach na temat „Branching Markov chains”

Autor: Grafiati

Data publikacji: 14 grudnia 2024

Data aktualizacji: 19 lipca 2025

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1

Müller, Sebastian. "Recurrence for branching Markov chains." Electronic Communications in Probability 13 (2008): 576–605. http://dx.doi.org/10.1214/ecp.v13-1424.

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2

Baier, Christel, Joost-Pieter Katoen, Holger Hermanns, and Verena Wolf. "Comparative branching-time semantics for Markov chains." Information and Computation 200, no. 2 (2005): 149–214. http://dx.doi.org/10.1016/j.ic.2005.03.001.

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3

Schinazi, Rinaldo. "On multiple phase transitions for branching Markov chains." Journal of Statistical Physics 71, no. 3-4 (1993): 507–11. http://dx.doi.org/10.1007/bf01058434.

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4

Athreya, Krishna B., and Hye-Jeong Kang. "Some limit theorems for positive recurrent branching Markov chains: I." Advances in Applied Probability 30, no. 3 (1998): 693–710. http://dx.doi.org/10.1239/aap/1035228124.

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In this paper we consider a Galton-Watson process whose particles move according to a Markov chain with discrete state space. The Markov chain is assumed to be positive recurrent. We prove a law of large numbers for the empirical position distribution and also discuss the large deviation aspects of this convergence.

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5

Athreya, Krishna B., and Hye-Jeong Kang. "Some limit theorems for positive recurrent branching Markov chains: I." Advances in Applied Probability 30, no. 03 (1998): 693–710. http://dx.doi.org/10.1017/s0001867800008557.

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In this paper we consider a Galton-Watson process whose particles move according to a Markov chain with discrete state space. The Markov chain is assumed to be positive recurrent. We prove a law of large numbers for the empirical position distribution and also discuss the large deviation aspects of this convergence.

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6

LIU, YUANYUAN, HANJUN ZHANG, and YIQIANG ZHAO. "COMPUTABLE STRONGLY ERGODIC RATES OF CONVERGENCE FOR CONTINUOUS-TIME MARKOV CHAINS." ANZIAM Journal 49, no. 4 (2008): 463–78. http://dx.doi.org/10.1017/s1446181108000114.

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AbstractIn this paper, we investigate computable lower bounds for the best strongly ergodic rate of convergence of the transient probability distribution to the stationary distribution for stochastically monotone continuous-time Markov chains and reversible continuous-time Markov chains, using a drift function and the expectation of the first hitting time on some state. We apply these results to birth–death processes, branching processes and population processes.

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7

BACCI, GIORGIO, GIOVANNI BACCI, KIM G. LARSEN, and RADU MARDARE. "Converging from branching to linear metrics on Markov chains." Mathematical Structures in Computer Science 29, no. 1 (2017): 3–37. http://dx.doi.org/10.1017/s0960129517000160.

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We study two well-known linear-time metrics on Markov chains (MCs), namely, the strong and strutter trace distances. Our interest in these metrics is motivated by their relation to the probabilistic linear temporal logic (LTL)-model checking problem: we prove that they correspond to the maximal differences in the probability of satisfying the same LTL and LTL−X(LTL without next operator) formulas, respectively.The threshold problem for these distances (whether their value exceeds a given threshold) is NP-hard and not known to be decidable. Nevertheless, we provide an approximation schema where

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8

Huang, Ying, and Arthur F. Veinott. "Markov Branching Decision Chains with Interest-Rate-Dependent Rewards." Probability in the Engineering and Informational Sciences 9, no. 1 (1995): 99–121. http://dx.doi.org/10.1017/s0269964800003715.

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Finite-state-and-action Markov branching decision chains are studied with bounded endogenous expected population sizes and interest-rate-dependent one-period rewards that are analytic in the interest rate at zero. The existence of a stationary strong-maximum-present-value policy is established. Miller and Veinott's [1969] strong policy-improvement method is generalized to find in finite time a stationary n-present-value optimal policy and, when the one-period rewards are rational in the interest rate, a stationary strong-maximum-present-value policy. This extends previous studies of Blackwell

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9

Hu, Dihe. "Infinitely dimensional control Markov branching chains in random environments." Science in China Series A 49, no. 1 (2006): 27–53. http://dx.doi.org/10.1007/s11425-005-0024-2.

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10

Cox, J. T. "On the ergodic theory of critical branching Markov chains." Stochastic Processes and their Applications 50, no. 1 (1994): 1–20. http://dx.doi.org/10.1016/0304-4149(94)90144-9.

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11

González, M., R. Martínez, and M. Mota. "Rates of Growth in a Class of Homogeneous Multidimensional Markov Chains." Journal of Applied Probability 43, no. 1 (2006): 159–74. http://dx.doi.org/10.1239/jap/1143936250.

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We investigate the asymptotic behaviour of homogeneous multidimensional Markov chains whose states have nonnegative integer components. We obtain growth rates for these models in a situation similar to the near-critical case for branching processes, provided that they converge to infinity with positive probability. Finally, the general theoretical results are applied to a class of controlled multitype branching process in which random control is allowed.

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12

González, M., R. Martínez, and M. Mota. "Rates of Growth in a Class of Homogeneous Multidimensional Markov Chains." Journal of Applied Probability 43, no. 01 (2006): 159–74. http://dx.doi.org/10.1017/s0021900200001431.

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We investigate the asymptotic behaviour of homogeneous multidimensional Markov chains whose states have nonnegative integer components. We obtain growth rates for these models in a situation similar to the near-critical case for branching processes, provided that they converge to infinity with positive probability. Finally, the general theoretical results are applied to a class of controlled multitype branching process in which random control is allowed.

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13

González, M., R. Martínez, and M. Mota. "On the geometric growth in a class of homogeneous multitype Markov chain." Journal of Applied Probability 42, no. 4 (2005): 1015–30. http://dx.doi.org/10.1239/jap/1134587813.

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In this paper, we investigate the geometric growth of homogeneous multitype Markov chains whose states have nonnegative integer coordinates. Such models are considered in a situation similar to the supercritical case for branching processes. Finally, our general theoretical results are applied to a class of controlled multitype branching process in which the control is random.

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14

González, M., R. Martínez, and M. Mota. "On the geometric growth in a class of homogeneous multitype Markov chain." Journal of Applied Probability 42, no. 04 (2005): 1015–30. http://dx.doi.org/10.1017/s0021900200001078.

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In this paper, we investigate the geometric growth of homogeneous multitype Markov chains whose states have nonnegative integer coordinates. Such models are considered in a situation similar to the supercritical case for branching processes. Finally, our general theoretical results are applied to a class of controlled multitype branching process in which the control is random.

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15

Chen, Anyue, Phil Pollett, Hanjun Zhang, and Ben Cairns. "Uniqueness criteria for continuous-time Markov chains with general transition structures." Advances in Applied Probability 37, no. 4 (2005): 1056–74. http://dx.doi.org/10.1239/aap/1134587753.

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We derive necessary and sufficient conditions for the existence of bounded or summable solutions to systems of linear equations associated with Markov chains. This substantially extends a famous result of G. E. H. Reuter, which provides a convenient means of checking various uniqueness criteria for birth-death processes. Our result allows chains with much more general transition structures to be accommodated. One application is to give a new proof of an important result of M. F. Chen concerning upwardly skip-free processes. We then use our generalization of Reuter's lemma to prove new results

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16

Chen, Anyue, Phil Pollett, Hanjun Zhang, and Ben Cairns. "Uniqueness criteria for continuous-time Markov chains with general transition structures." Advances in Applied Probability 37, no. 04 (2005): 1056–74. http://dx.doi.org/10.1017/s0001867800000665.

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We derive necessary and sufficient conditions for the existence of bounded or summable solutions to systems of linear equations associated with Markov chains. This substantially extends a famous result of G. E. H. Reuter, which provides a convenient means of checking various uniqueness criteria for birth-death processes. Our result allows chains with much more general transition structures to be accommodated. One application is to give a new proof of an important result of M. F. Chen concerning upwardly skip-free processes. We then use our generalization of Reuter's lemma to prove new results

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17

Athreya, Krishna B., and Hye-Jeong Kang. "Some limit theorems for positive recurrent branching Markov chains: II." Advances in Applied Probability 30, no. 3 (1998): 711–22. http://dx.doi.org/10.1239/aap/1035228125.

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In this paper we consider a Galton-Watson process in which particles move according to a positive recurrent Markov chain on a general state space. We prove a law of large numbers for the empirical position distribution and also discuss the rate of this convergence.

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18

Athreya, Krishna B., and Hye-Jeong Kang. "Some limit theorems for positive recurrent branching Markov chains: II." Advances in Applied Probability 30, no. 03 (1998): 711–22. http://dx.doi.org/10.1017/s0001867800008569.

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In this paper we consider a Galton-Watson process in which particles move according to a positive recurrent Markov chain on a general state space. We prove a law of large numbers for the empirical position distribution and also discuss the rate of this convergence.

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19

Kirkpatrick, Anna, Kalen Patton, Prasad Tetali, and Cassie Mitchell. "Markov Chain-Based Sampling for Exploring RNA Secondary Structure under the Nearest Neighbor Thermodynamic Model and Extended Applications." Mathematical and Computational Applications 25, no. 4 (2020): 67. http://dx.doi.org/10.3390/mca25040067.

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Ribonucleic acid (RNA) secondary structures and branching properties are important for determining functional ramifications in biology. While energy minimization of the Nearest Neighbor Thermodynamic Model (NNTM) is commonly used to identify such properties (number of hairpins, maximum ladder distance, etc.), it is difficult to know whether the resultant values fall within expected dispersion thresholds for a given energy function. The goal of this study was to construct a Markov chain capable of examining the dispersion of RNA secondary structures and branching properties obtained from NNTM e

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20

Hu, Dihe. "THE CONSTRUCTION OF MULTITYPE CANONICAL MARKOV BRANCHING CHAINS IN RANDOM ENVIRONMENTS." Acta Mathematica Scientia 26, no. 3 (2006): 431–42. http://dx.doi.org/10.1016/s0252-9602(06)60067-2.

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21

Vallander, S. S. "Occupation times for countable Markov chains III. Chains on a tree with one branching point." Journal of Soviet Mathematics 36, no. 4 (1987): 451–61. http://dx.doi.org/10.1007/bf01663453.

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22

Bansaye, Vincent. "Ancestral Lineages and Limit Theorems for Branching Markov Chains in Varying Environment." Journal of Theoretical Probability 32, no. 1 (2018): 249–81. http://dx.doi.org/10.1007/s10959-018-0825-1.

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23

Di-he, Hu, and Zhang Shu-lin. "The laplace functional and moments for Markov branching chains in random environments." Wuhan University Journal of Natural Sciences 10, no. 3 (2005): 485–92. http://dx.doi.org/10.1007/bf02831130.

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24

Athreya, Krishna B. "Change of Measures for Markov Chains and the LlogL Theorem for Branching Processes." Bernoulli 6, no. 2 (2000): 323. http://dx.doi.org/10.2307/3318579.

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25

Pollett, P. K. "On the identification of continuous-time Markov chains with a given invariant measure." Journal of Applied Probability 31, no. 4 (1994): 897–910. http://dx.doi.org/10.2307/3215315.

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In [14] a necessary and sufficient condition was obtained for there to exist uniquely a Q-process with a specified invariant measure, under the assumption that Q is a stable, conservative, single-exit matrix. The purpose of this note is to demonstrate that, for an arbitrary stable and conservative q-matrix, the same condition suffices for the existence of a suitable Q-process, but that this process might not be unique. A range of examples is considered, including pure-birth processes, a birth process with catastrophes, birth-death processes and the Markov branching process with immigration.

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26

Pollett, P. K. "On the identification of continuous-time Markov chains with a given invariant measure." Journal of Applied Probability 31, no. 04 (1994): 897–910. http://dx.doi.org/10.1017/s0021900200099435.

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In [14] a necessary and sufficient condition was obtained for there to exist uniquely a Q-process with a specified invariant measure, under the assumption that Q is a stable, conservative, single-exit matrix. The purpose of this note is to demonstrate that, for an arbitrary stable and conservative q-matrix, the same condition suffices for the existence of a suitable Q-process, but that this process might not be unique. A range of examples is considered, including pure-birth processes, a birth process with catastrophes, birth-death processes and the Markov branching process with immigration.

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27

Parsamanesh, Mahmood, and Marwan Abukhaled. "Stochastic modeling of spreading an infection with standard incidence rate." Journal of Statistics and Management Systems 27, no. 6 (2024): 1221–41. http://dx.doi.org/10.47974/jsms-1271.

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This paper studies and models the random spread of an infection in a population. It extends the traditional deterministic modeling approach by incorporating discretetime stochastic modeling using Markov chains. The probability of extinction and disease persistence is then investigated using the branching chain method, with a focus on a quantity in the non-random model, which is called the basic reproductive number. Moreover, the random model is transformed into a system of stochastic differential equations by approximating the probability distribution function using the forward Kolmogorov equa

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28

Louhichi, Sana, and Bernard Ycart. "Exponential Growth of Bifurcating Processes with Ancestral Dependence." Advances in Applied Probability 47, no. 2 (2015): 545–64. http://dx.doi.org/10.1239/aap/1435236987.

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Branching processes are classical growth models in cell kinetics. In their construction, it is usually assumed that cell lifetimes are independent random variables, which has been proved false in experiments. Models of dependent lifetimes are considered here, in particular bifurcating Markov chains. Under the hypotheses of stationarity and multiplicative ergodicity, the corresponding branching process is proved to have the same type of asymptotics as its classic counterpart in the independent and identically distributed supercritical case: the cell population grows exponentially, the growth ra

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29

Louhichi, Sana, and Bernard Ycart. "Exponential Growth of Bifurcating Processes with Ancestral Dependence." Advances in Applied Probability 47, no. 02 (2015): 545–64. http://dx.doi.org/10.1017/s0001867800007977.

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Branching processes are classical growth models in cell kinetics. In their construction, it is usually assumed that cell lifetimes are independent random variables, which has been proved false in experiments. Models of dependent lifetimes are considered here, in particular bifurcating Markov chains. Under the hypotheses of stationarity and multiplicative ergodicity, the corresponding branching process is proved to have the same type of asymptotics as its classic counterpart in the independent and identically distributed supercritical case: the cell population grows exponentially, the growth ra

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30

Das, Ankush, Di Wang, and Jan Hoffmann. "Probabilistic Resource-Aware Session Types." Proceedings of the ACM on Programming Languages 7, POPL (2023): 1925–56. http://dx.doi.org/10.1145/3571259.

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Session types guarantee that message-passing processes adhere to predefined communication protocols. Prior work on session types has focused on deterministic languages but many message-passing systems, such as Markov chains and randomized distributed algorithms, are probabilistic. To implement and analyze such systems, this article develops the meta theory of probabilistic session types with an application focus on automatic expected resource analysis. Probabilistic session types describe probability distributions over messages and are a conservative extension of intuitionistic (binary) sessio

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31

Trčka, Nikola. "Strong, Weak and Branching Bisimulation for Transition Systems and Markov Reward Chains: A Unifying Matrix Approach." Electronic Proceedings in Theoretical Computer Science 13 (December 10, 2009): 55–65. http://dx.doi.org/10.4204/eptcs.13.5.

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32

Klebaner, Fima C. "Linear growth in near-critical population-size-dependent multitype Galton–Watson processes." Journal of Applied Probability 26, no. 3 (1989): 431–45. http://dx.doi.org/10.2307/3214402.

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We consider a multitype population-size-dependent branching process in discrete time. A process is considered to be near-critical if the mean matrices of offspring distributions approach the mean matrix of a critical process as the population size increases. We show that if the second moments of offspring distributions stabilize as the population size increases, and the limiting variances are not too large in comparison with the deviation of the means from criticality, then the extinction probability is less than 1 and the process grows arithmetically fast, in the sense that any linear combina

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33

Klebaner, Fima C. "Linear growth in near-critical population-size-dependent multitype Galton–Watson processes." Journal of Applied Probability 26, no. 03 (1989): 431–45. http://dx.doi.org/10.1017/s0021900200038043.

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We consider a multitype population-size-dependent branching process in discrete time. A process is considered to be near-critical if the mean matrices of offspring distributions approach the mean matrix of a critical process as the population size increases. We show that if the second moments of offspring distributions stabilize as the population size increases, and the limiting variances are not too large in comparison with the deviation of the means from criticality, then the extinction probability is less than 1 and the process grows arithmetically fast, in the sense that any linear combina

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34

Breban, Romulus. "Emergence failure of early epidemics: A mathematical modeling approach." PLOS ONE 19, no. 5 (2024): e0301415. http://dx.doi.org/10.1371/journal.pone.0301415.

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Epidemic or pathogen emergence is the phenomenon by which a poorly transmissible pathogen finds its evolutionary pathway to become a mutant that can cause an epidemic. Many mathematical models of pathogen emergence rely on branching processes. Here, we discuss pathogen emergence using Markov chains, for a more tractable analysis, generalizing previous work by Kendall and Bartlett about disease invasion. We discuss the probability of emergence failure for early epidemics, when the number of infected individuals is small and the number of the susceptible individuals is virtually unlimited. Our f

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35

Fu, Qiancheng, Ankush Das, and Marco Gaboardi. "Probabilistic Refinement Session Types." Proceedings of the ACM on Programming Languages 9, PLDI (2025): 1666–91. https://doi.org/10.1145/3729317.

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Session types provide a formal type system to define and verify communication protocols between message-passing processes. In order to analyze randomized systems, recent works have extended session types with probabilistic type constructors. Unfortunately, all the proposed extensions only support constant probabilities which limits their applicability to real-world systems. Our work addresses this limitation by introducing probabilistic refinement session types which enable symbolic reasoning for concurrent probabilistic systems in a core calculus we call PReST. The type system is carefully de

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36

Azam, A. Imomov, and R. Abatov Ozodbek. "ON ASYMPTOTIC STRUCTURE OF CRITICAL MARKOV BRANCHING PROCESSES WITH POSSIBLY INFINITE VARIANCE." JOURNAL OF INNOVATIONS IN SCIENTIFIC AND EDUCATIONAL RESEARCH 6, no. 4 (2023): 463–165. https://doi.org/10.5281/zenodo.7883063.

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37

Hautphenne, Sophie. "A Structured Markov Chain Approach to Branching Processes." Stochastic Models 31, no. 3 (2015): 403–32. http://dx.doi.org/10.1080/15326349.2015.1022264.

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38

Giroux, Gaston. "Asymptotic results for non-linear processes of the McKean tagged-molecule type." Journal of Applied Probability 23, no. 1 (1986): 42–51. http://dx.doi.org/10.2307/3214115.

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McKean's tagged-molecule process is a non-linear homogeneous two-state Markov chain in continuous time, constructed with the aid of a binary branching process. For each of a large class of branching processes we construct a similar process. The construction is carefully done and the weak homogeneity is deduced. A simple probability argument permits us to show convergence to the equidistribution (½, ½) and to note that this limit is a strong equilibrium. A non-homogeneous Markov chain result is also used to establish the geometric rate of convergence. A proof of a Boltzmann H-theorem is also es

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39

Giroux, Gaston. "Asymptotic results for non-linear processes of the McKean tagged-molecule type." Journal of Applied Probability 23, no. 01 (1986): 42–51. http://dx.doi.org/10.1017/s0021900200106266.

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McKean's tagged-molecule process is a non-linear homogeneous two-state Markov chain in continuous time, constructed with the aid of a binary branching process. For each of a large class of branching processes we construct a similar process. The construction is carefully done and the weak homogeneity is deduced. A simple probability argument permits us to show convergence to the equidistribution (½, ½) and to note that this limit is a strong equilibrium. A non-homogeneous Markov chain result is also used to establish the geometric rate of convergence. A proof of a Boltzmann H-theorem is also es

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40

HONG, WENMING, and HUAMING WANG. "INTRINSIC BRANCHING STRUCTURE WITHIN (L-1) RANDOM WALK IN RANDOM ENVIRONMENT AND ITS APPLICATIONS." Infinite Dimensional Analysis, Quantum Probability and Related Topics 16, no. 01 (2013): 1350006. http://dx.doi.org/10.1142/s0219025713500069.

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We figure out the intrinsic branching structure within (L-1) random walk in random environment. As applications, the branching structure enable us to calculate the expectation of the first hitting time directly, and specify the density of the invariant measure for the Markov chain of "the environment viewed from particles" explicitly.

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41

Machado, F. P., and S. Yu Popov. "One-dimensional branching random walks in a Markovian random environment." Journal of Applied Probability 37, no. 4 (2000): 1157–63. http://dx.doi.org/10.1239/jap/1014843096.

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We study a one-dimensional supercritical branching random walk in a non-i.i.d. random environment, which considers both the branching mechanism and the step transition. This random environment is constructed using a recurrent Markov chain on a finite or countable state space. Criteria of (strong) recurrence and transience are presented for this model.

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42

HONG, WENMING, and LIN ZHANG. "BRANCHING STRUCTURE FOR THE TRANSIENT (1, R)-RANDOM WALK IN RANDOM ENVIRONMENT AND ITS APPLICATIONS." Infinite Dimensional Analysis, Quantum Probability and Related Topics 13, no. 04 (2010): 589–618. http://dx.doi.org/10.1142/s0219025710004188.

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An intrinsic multi-type branching structure within the transient (1, R)-RWRE is revealed. The branching structure enables us to specify the density of the absolutely continuous invariant measure for the Markov chain of environments seen from the particle and reprove the LLN with a drift explicitly in terms of the environment.

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43

Machado, F. P., and S. Yu Popov. "One-dimensional branching random walks in a Markovian random environment." Journal of Applied Probability 37, no. 04 (2000): 1157–63. http://dx.doi.org/10.1017/s0021900200018350.

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We study a one-dimensional supercritical branching random walk in a non-i.i.d. random environment, which considers both the branching mechanism and the step transition. This random environment is constructed using a recurrent Markov chain on a finite or countable state space. Criteria of (strong) recurrence and transience are presented for this model.

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44

Melas, V. B. "Branching Technique for Markov Chain Simulation (Finite State Case)." Statistics 25, no. 2 (1994): 159–71. http://dx.doi.org/10.1080/02331889408802441.

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45

Pakes, Anthony G. "Extinction and explosion of nonlinear Markov branching processes." Journal of the Australian Mathematical Society 82, no. 3 (2007): 403–28. http://dx.doi.org/10.1017/s1446788700036193.

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AbstractThis paper concerns a generalization of the Markov branching process that preserves the random walk jump chain, but admits arbitrary positive jump rates. Necessary and sufficient conditions are found for regularity, including a generalization of the Harris-Dynkin integral condition when the jump rates are reciprocals of a Hausdorff moment sequence. Behaviour of the expected time to extinction is found, and some asymptotic properties of the explosion time are given for the case where extinction cannot occur. Existence of a unique invariant measure is shown, and conditions found for uniq

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46

Grey, D. R. "Supercritical branching processes with density independent catastrophes." Mathematical Proceedings of the Cambridge Philosophical Society 104, no. 2 (1988): 413–16. http://dx.doi.org/10.1017/s0305004100065579.

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A Markov branching process in either discrete time (the Galton–Watson process) or continuous time is modified by the introduction of a process of catastrophes which remove some individuals (and, by implication, their descendants) from the population. The catastrophe process is independent of the reproduction mechanism and takes the form of a sequence of independent identically distributed non-negative integer-valued random variables. In the continuous time case, these catastrophes occur at the points of an independent Poisson process with constant rate. If at any time the size of a catastrophe

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Bandyopadhyay, Antar, Svante Janson, and Debleena Thacker. "Strong convergence of infinite color balanced urns under uniform ergodicity." Journal of Applied Probability 57, no. 3 (2020): 853–65. http://dx.doi.org/10.1017/jpr.2020.37.

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AbstractWe consider the generalization of the Pólya urn scheme with possibly infinitely many colors, as introduced in [37], [4], [5], and [6]. For countably many colors, we prove almost sure convergence of the urn configuration under the uniform ergodicity assumption on the associated Markov chain. The proof uses a stochastic coupling of the sequence of chosen colors with a branching Markov chain on a weighted random recursive tree as described in [6], [31], and [26]. Using this coupling we estimate the covariance between any two selected colors. In particular, we re-prove the limit theorem fo

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Costes, E., and Y. Guédon. "Modeling the Sylleptic Branching on One-year-old Trunks of Apple Cultivars." Journal of the American Society for Horticultural Science 122, no. 1 (1997): 53–62. http://dx.doi.org/10.21273/jashs.122.1.53.

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The structure of 1-year-old trunks resulting from sylleptic branching are compared among apple (Malus domestica Borkh) cultivars with diverse branching and fruiting habits. The 1-year-old trunks developing from a graft are described as a succession of metamers whose structure refers to location, distribution, and length of sylleptic axillary shoots. We used a stochastic process called hidden semi-Markov chain to capture the embedded structure resulting from mixing of different types of axillary shoots developing along the trunks. The models, corresponding to the different cultivars, are compos

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Jr., Glenn Lahodny, and Mona Zevika. "Effects of Fogging and Mosquito Repellent on the Probability of Disease Extinction for Dengue Fever." Communication in Biomathematical Sciences 4, no. 1 (2021): 1–13. http://dx.doi.org/10.5614/cbms.2021.4.1.1.

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A Continuous-Time Markov Chain model is constructed based on the a deterministic model of dengue fever transmission including mosquito fogging and the use of repellent. The basic reproduction number (R0) for the corresponding deterministic model is obtained. This number indicates the possible occurrence of an endemic at the early stages of the infection period. A multitype branching process is used to approximate the Markov chain. The construction of offspring probability generating functions related to the infected states is used to calculate the probability of disease extinction and the prob

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Cerf, Raphaël, and Joseba Dalmau. "Galton–Watson and branching process representations of the normalized Perron–Frobenius eigenvector." ESAIM: Probability and Statistics 23 (2019): 797–802. http://dx.doi.org/10.1051/ps/2019007.

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Let A be a primitive matrix and let λ be its Perron–Frobenius eigenvalue. We give formulas expressing the associated normalized Perron–Frobenius eigenvector as a simple functional of a multitype Galton–Watson process whose mean matrix is A, as well as of a multitype branching process with mean matrix e(A−I)t. These formulas are generalizations of the classical formula for the invariant probability measure of a Markov chain.

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