Cover Image

Inhomogeneous random evolutions and their applications /

Show other versions (1)

"The book deals with inhomogeneous REs and their applications, which are more general and more applicable because they describe in a much better way the evolutions of many processes in real world, which have no homogeneous evolution/behaviour, including economics, finance and insurance"--

Bibliographic Details
Main Author:	Svishchuk, A. V. (Anatoliĭ Vitalʹevich) (Author)
Corporate Author:	Taylor & Francis
Format:	eBook
Language:	English
Published:	Boca Raton, FL : CRC Press, Taylor and Francis Group, [2019]
Subjects:	Finance > Mathematical models. Insurance > Mathematical models. Stochastic processes. Banach spaces. MATHEMATICS / General MATHEMATICS / Probability & Statistics / General MATHEMATICS / Probability & Statistics / Bayesian Analysis Electronic books.
Online Access:	Connect to the full text of this electronic book

Similar Items

Inhomogeneous random evolutions and their applications /
by: Svishchuk, A. V. (Anatoliĭ Vitalʹevich)
Published: (2020)

Random evolutions and their applications : new trends /
by: Svishchuk, A. V. (Anatoliĭ Vitalʹevich)
Published: (2000)

Stochastic calculus : a practical introduction /
by: Durrett, Richard, 1951-
Published: (2018)

Applied stochastic processes /
by: Liao, Ming
Published: (2013)

Introducing financial mathematics : theory, binomial models, and applications /
by: Wickerhauser, Mladen Victor
Published: (2022)

Stationary stochastic processes for scientists and engineers /
by: Lindgren, Georg, 1940-, et al.
Published: (2013)

Foundations of quantitative finance.
by: Reitano, Robert R., 1950-
Published: (2024)

Introduction to statistical modelling and inference /
by: Aitkin, Murray A.
Published: (2022)

Data analysis and approximate models : model choice, location-scale, analysis of variance, nonparametric regression and image analysis /
by: Davies, Patrick Laurie
Published: (2014)

FOUNDATIONS OF QUANTITATIVE FINANCE probability spaces and random variables.
by: Reitano, Robert R., 1950-
Published: (2022)

Understanding advanced statistical methods /
by: Westfall, Peter H., 1957-, et al.
Published: (2013)

FOUNDATIONS OF QUANTITATIVE FINANCE.
by: Reitano, Robert R., 1950-
Published: (2025)

An introduction to financial mathematics : option valuation /
by: Junghenn, Hugo D. (Hugo Dietrich), 1939-
Published: (2019)

Martingale methods in statistics /
by: Nishiyama, Yoichi
Published: (2022)

Probability, choice, and reason /
by: Vaughan Williams, Leighton
Published: (2022)

Statistical Theory : a Concise Introduction.
by: Abramovich, Felix, et al.
Published: (2013)

Sequential change detection and hypothesis testing : general non-i.i.d. stochastic models and asymptotically optimal rules /
by: Tartakovsky, Alexander
Published: (2020)

RANDOM PATTERNS AND STRUCTURES IN SPATIAL DATA.
by: Stoica, Radu S.
Published: (2025)

Geometry and martingales in Banach spaces /
by: Woyczyński, W. A. (Wojbor Andrzej), 1943-
Published: (2018)

Distribution functions and expectations /
by: Reitano, Robert R., 1950-
Published: (2023)

An introduction to stochastic processes with applications to biology /
by: Allen, Linda J. S.
Published: (2010)

Linear algebra and probability for computer science applications /
by: Davis, Ernest
Published: (2012)

Stochastic finance : an introduction with market examples /
by: Privault, Nicolas
Published: (2013)

Martingale methods in statistics /
by: Nishiyama, Yoichi
Published: (2022)

Random summation : limit theorems and applications /
by: Gnedenko, B. V. (Boris Vladimirovich), 1912-1995
Published: (2020)

Financial mathematics.
by: Campolieti, Giuseppe (Mathematics professor), et al.
Published: (2022)

Analysis of queues : methods and applications /
by: Gautam, Natarajan
Published: (2012)

Bayesian analysis of stochastic process models /
by: Ríos Insua, David, 1964-
Published: (2012)

An introduction to financial mathematics : option valuation /
by: Junghenn, Hugo D. (Hugo Dietrich), 1939-
Published: (2019)

Probability foundations for engineers /
by: Nachlas, Joel A.
Published: (2012)

Network models for data science : theory, algorithms, and applications /
by: Izenman, Alan Julian
Published: (2023)

Sequential change detection and hypothesis testing : general non-i.i.d. stochastic models and asymptotically optimal rules /
by: Tartakovsky, Alexander
Published: (2020)

Modeling Change and Uncertainty : Machine Learning and Other Techniques.
by: Fox, William P., 1949-, et al.
Published: (2022)

Quantitative finance : an object-oriented approach in C++ /
by: Schlogl, Erik
Published: (2014)

A first course in probability and Markov chains /
by: Modica, Giuseppe
Published: (2013)

Stochastic partial differential equations /
by: Chow, Pao Liu, 1936-
Published: (2014)

Principles of uncertainty /
by: Kadane, Joseph B.
Published: (2011)

Stochastic geometry and its applications.
by: Chiu, Sung Nok
Published: (2013)

Counterexamples in probability /
by: Stoi︠a︡nov, Ĭordan
Published: (2013)

Elementary probability with applications /
by: Rabinowitz, Larry, 1937-
Published: (2017)