23 citations to https://www.mathnet.ru/rus/tvp2854
  1. Peter Braunsteins, Sophie Hautphenne, James Kerlidis, “Linking population-size-dependent and controlled branching processes”, Stochastic Processes and their Applications, 181 (2025), 104556  crossref
  2. F. Thomas Bruss, “Galton–Watson processes and their role as building blocks for branching processes”, Теория вероятн. и ее примен., 67:1 (2022), 177–192  mathnet  crossref  mathscinet  zmath; Theory Probab. Appl., 67:1 (2022), 141–153  crossref
  3. Miguel González, Cristina Gutiérrez, Rodrigo Martínez, Inés M. del Puerto, “Bayesian inference for controlled branching processes through MCMC and ABC methodologies”, RACSAM, 107:2 (2013), 459  crossref
  4. Логинов К.К., Перцев Н.В., “Применение”, Вестник Омского университета, 2011, № 2, 24–28 Application of phi-branching processes for investigation of population dynamics in conditions of limited quantity of food resources  elib
  5. Michael Drmota, Guy Louchard, Nickolay M. Yanev, “Analysis of a Recurrence Related to Critical Nonhomogeneous Branching Processes”, Stochastic Analysis and Applications, 24:1 (2006), 37  crossref
  6. Miguel González, Rodrigo Martínez, Iné del Puerto, “Estimation of the variance for a controlled branching process”, Test, 14:1 (2005), 199  crossref
  7. Miguel González, Rodrigo Martínez, Inés del Puerto, “Nonparametric estimation of the offspring distribution and the mean for a controlled branching process”, Test, 13:2 (2004), 465  crossref
  8. F. C. Klebaner, S. Sagitov, “The age of a Galton-Watson population with a geometric offspring distribution”, Journal of Applied Probability, 39:4 (2002), 816  crossref
  9. M. González, M. Molina, I. Del Puerto, “On the class of controlled branching processes with random control functions”, Journal of Applied Probability, 39:4 (2002), 804  crossref
  10. Göran Högnäs, “On the quasi-stationary distribution of a stochastic Ricker model”, Stochastic Processes and their Applications, 70:2 (1997), 243  crossref
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