Results 171 to 180 of about 123,697 (193)

Hierarchical bayesian fusion of inspection and monitoring data for probabilistic bridge deterioration assessment. [PDF]

Sci Rep
Wang B, Chen K, Wang B.
europepmc   +1 more source

Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes

Journal of Computational Physics, 2022
David J Warne, Thomas Paul Prescott, Matthew J Simpson   +2 more
exaly  

Innovation Representation of Stochastic Processes With Application to Causal Inference

IEEE Transactions on Information Theory, 2020
Amichai Painsky, Saharon Rosset, Meir Feder   +2 more
exaly  

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  

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  

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
exaly