Results 161 to 170 of about 14,667 (177)

Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis

Journal of Computational Physics, 2021
Agnieszka Borowska, Diana Giurghita, Dirk Husmeier   +2 more
exaly  

Parametric inference for stochastic differential equations driven by a mixed fractional Brownian motion with random effects based on discrete observations

Stochastic Analysis and Applications, 2022
B L S Prakasa Rao
exaly  

Bayesian inference for non-Gaussian Ornstein-Uhlenbeck stochastic volatility processes

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2004
Omiros Papaspiliopoulos, Petros Dellaportas   +1 more
exaly  

Analyzing Social Networks as Stochastic Processes

Journal of the American Statistical Association, 1980
Stanley Wasserman
exaly   +2 more sources

Stochastic Processes - Inference Theory

Springer Monographs in Mathematics, 2014
Malempati M Rao
exaly  

Indirect inference methods for stochastic volatility models based on non-Gaussian Ornstein–Uhlenbeck processes

Computational Statistics and Data Analysis, 2012
Øivind Skare
exaly  

Cox process representation and inference for stochastic reaction–diffusion processes

Nature Communications, 2016
David Schnoerr, Ramon Grima, Guido Sanguinetti   +2 more
exaly  

Asymptotic theory of conditional inference for stochastic processes

Stochastic Processes and Their Applications, 1986
Paul D Feigin
exaly  

Robust inference of memory structure for efficient quantum modeling of stochastic processes

Physical Review A, 2020
Matthew Ho, Mile Gu, Thomas J Elliott
exaly  

Simulation and Inference for Stochastic Processes with YUIMA

Use R!, 2018
Stefano M Iacus, Nakahiro Yoshida
exaly