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  1. Mechanics of Random Motion

    Small particles, such as electrons, perform a random zigzag motion (i.e., Brownian motion), which is unavoidable and intrinsic for small particles....
    Chapter 2021
  2. Simulating Brownian Motion

    Brownian motion and geometric Brownian motion are the most common models encountered in financial problems. In certain cases, it is possible to...
    Rituparna Sen, Sourish Das in Computational Finance with R
    Chapter 2023
  3. A Generalized Stochastic Process: Fractional G-Brownian Motion

    In this paper, a new concept for some stochastic process called fractional G -Brownian motion (fGBm) is developed. The fGBm can exhibit long-range...

    Changhong Guo, Shaomei Fang, Yong He in Methodology and Computing in Applied Probability
    Article 13 February 2023
  4. Nonparametric Estimation for Stochastic Differential Equations Driven by Mixed Fractional Brownian Motion with Random Effects

    We discuss nonparametric estimation of the density of random effects in models governed by a stochastic differential equation driven by a mixed...

    B. L. S. Prakasa Rao in Sankhya A
    Article 25 November 2020
  5. On Some Distributional Properties of Subordinated Gaussian Random Fields

    Motivated by the subordinated Brownian motion, we define a new class of (in general discontinuous) random fields on higher-dimensional parameter...

    Robin Merkle, Andrea Barth in Methodology and Computing in Applied Probability
    Article Open access 06 April 2022
  6. The First Exit Time of Fractional Brownian Motion with a Drift from a Parabolic Domain

    We study the first exit time of a fractional Brownian motion with a drift from a parabolic domain. Actually, we explore three different regimes. In...

    Article 29 January 2024
  7. Four Finite Dimensional (FD) Surrogates for Continuous Random Processes

    Numerical solutions of stochastic problems involve approximations of the random functions in their definitions by deterministic functions of time...

    Article 17 March 2023
  8. An Interesting Class of Non-Kac Random Polynomials

    As evident from classical results on random polynomials, it is difficult to derive the probability distribution of the number of real roots ...

    Article 10 October 2023
  9. Fourier approach to goodness-of-fit tests for Gaussian random processes

    A new goodness-of-fit (GoF) test is proposed and investigated for the Gaussianity of the observed functional data. The test statistic is the...

    Petr Čoupek, Viktor Dolník, ... Daniel Hlubinka in Statistical Papers
    Article 01 December 2023
  10. Finding an NARE whose minimal nonnegative solution represents first passage quantities in the two-dimensional Brownian motion

    The goal of this paper is to find a nonsymmetric algebraic Riccati equation(NARE) of which the minimal nonnegative solution can represent the Laplace...

    Sung-Chul Hong, Soohan Ahn in Journal of the Korean Statistical Society
    Article 22 March 2024
  11. Hitting Time Problems of Sticky Brownian Motion and Their Applications in Optimal Stop** and Bond Pricing

    This paper investigates the hitting time problems of sticky Brownian motion and their applications in optimal stop** and bond pricing. We study the...

    Article 07 January 2022
  12. Bayesian Modeling in Engineering Seismology: Ground-Motion Models

    The ground-motion model (GMM) is a key tool of the engineering seismologist. It predicts peak seismic ground-motion parameters given primary...
    Sahar Rahpeyma, Milad Kowsari, ... Birgir Hrafnkelsson in Statistical Modeling Using Bayesian Latent Gaussian Models
    Chapter 2023
  13. A Collocation Method for Nonlinear Stochastic Differential Equations Driven by Fractional Brownian Motion and its Application to Mathematical Finance

    The main aim of this article is to demonstrate the collocation method based on the barycentric rational interpolation function to solve nonlinear...

    Article 13 May 2024
  14. Nonparametric Estimation of Trend for Stochastic Processes Driven by G-Brownian Motion with Small Noise

    The present paper deals with the problem of nonparametric estimation of the trend for stochastic processes driven by G -Brownian motion with small...

    Xuekang Zhang, Shounian Deng, Weiyin Fei in Methodology and Computing in Applied Probability
    Article 10 June 2023
  15. Random Assignment Versus Fixed Assignment in Multilevel Importance Splitting for Estimating Stochastic Reach Probabilities

    This paper focuses on estimating reach probability of a closed unsafe set by a stochastic process. A well-developed approach is to make use of...

    Article Open access 28 January 2022
  16. Asymptotic inference for stochastic differential equations driven by fractional Brownian motion

    We study a problem of parametric estimation for continuously observed stochastic processes involving fractional Brownian motion with Hurst index ...

    Shohei Nakajima, Yasutaka Shimizu in Japanese Journal of Statistics and Data Science
    Article 21 October 2022
  17. Random Apportionment: A Stochastic Solution to the Balinski-Young Impossibility

    An apportionment paradox occurs when the rules for apportionment in a political system or distribution system produce results which seem to violate...

    Jyy-I Hong, Joseph Najnudel, ... Ju-Yi Yen in Methodology and Computing in Applied Probability
    Article 23 November 2023
  18. Bayesian inference for fractional Oscillating Brownian motion

    This paper deals with the problem of parameter estimation in a class of stochastic differential equations driven by a fractional Brownian motion with ...

    Héctor Araya, Meryem Slaoui, Soledad Torres in Computational Statistics
    Article 30 August 2021
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