Modern Stochastic Models and Problems of Actuarial Mathematics

MAMMOTH’2025, Karshi city, Uzbekistan, November 11—14, 2025.
Erscheinungsjahr 2026
ISBN: 978-3-032-36196-7
Verlag: Springer

Buch, Englisch, 202 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Springer Proceedings in Mathematics & Statistics

This volume collects selected contributions presented at the International Conference “Modern Stochastic Models and Problems of Actuarial Mathematics — MAMMOTH”, held on November 11–14, 2025, in Karshi city, Uzbekistan. The contributions cover recent advances in branching systems, stochastic processes, queueing theory, financial mathematics, dynamical systems, and related areas. The volume includes papers by leading researchers and provides original results reflecting current developments in stochastic modeling and applied probability. It is intended for mathematicians, statisticians, actuarial scientists, financial analysts, and researchers working in these fields, as well as for graduate students and academics interested in recent progress. 

The International Conference MAMMOTH’2025 was organized within the framework of the scientific project FL-8824063218, supported by the Ministry of Higher Education, Science and Innovations of the Republic of Uzbekistan.

Zielgruppe

Research

Autoren/Hrsg.

Imomov, Azam

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftswissenschaften Wirtschaftswissenschaften: Allgemeines
• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

Chapter 1 Non-Extinction Probability of Critical Branching Process in a Random Environment Conditioned on the Value of Minimum of the Associated Random Walk.- Chapter 2 New method for constructing robust estimators of structural parameters in quantile models.- Chapter 3 The Russian Clearing House approaches to the interest rate options
modelling.- Chapter 4 The growth rate of nearly critical branching processes with immigration.- Chapter 5 Boundary Crossing Probability for Random Walk.- Chapter 6
The Role of Extreme Terms in the Sum of Random Variables.- Chapter 7 On Asymptotic Properties of Branching Processes in Random Environment with Cooling.- Chapter 8 Stochastic On/O  Processes in Modeling of Multi-core Processors.- Chapter 9 Retrial queueing system with non-persistent customers.- Chapter 10 On Limiting Structural Properties of Continuous-Time Markov Branching Systems with Immigration.- Chapter 11 Approximation of distributions of some random variables associated with the ball-in-boxes scheme.- Chapter 12 Integration of the negative-order nonlinear schrdinger equation with additional terms.- Chapter 13 Some New Solutions of the Loaded Combined KdV-MKdV Equation by Using the Improved G0=G -expansion Method.- Chapter 14 A model for organizing independent learning in blended education.- Chapter 15 Dependence Modeling of Bivariate Lifetime Data Using Marshall{Olkin Copula Structures.- Chapter 16 Bayesian Inference in Parametric Survival Models under Random Right Censoring.- Chapter 17 Constructive integral representation of one class of multiplicative functionals.- Chapter 18 On G(2) k -Periodic Ground States in the Chui{Weeks Model.- Chapter 19 Asymptotics of the Mean Number of Particles of Periodic Branching Random Walk at a Distant Point.- Chapter 20 Lower Large Deviations of Branching Process in a Random Environment: Second Deviation Zone.- Chapter 21 The role of educational technologies in developing the mathematical competence of university students.- Chapter 22 On the maximum of functionals of mixing random processes.- Chapter 23 Law of large numbers for functionals of random  elds with values in Banach spaces.- Chapter 24 Methodology for teaching students how to apply matrices in cryptography.- Chapter 25 Statistical analysis of an innovative pedagogical approach to teaching the riccati equation.- Chapter 26 On the question of algebraic structures in the teaching of some mathematical disciplines.

Über Autor(innen)

Professor Azam Imomov was born in Uzbekistan, a country with a rich scientific and cultural heritage. He is a mathematician specializing in probability theory and stochastic processes. He conducts his research and academic work at Karshi State University. His research focuses on branching processes, renewal theory, and related areas of applied probability, with particular emphasis on asymptotic methods and limit theorems.

Professor Imomov is the founder of the MAMMOTH (Modern Stochastic Models and Problems of Actuarial Mathematics) conference series and has played an active role in promoting international collaboration in stochastic modeling and actuarial science.