Results 1 to 10 of about 199 (132)

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

Journal of Computational Physics, 2022
Matthew Simpson, Ruth Baker, David Warne   +2 more
exaly  

Inference of dominant modes for linear stochastic processes

Royal Society Open Science, 2021
Robert Mackay
exaly  

Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds

Entropy, 2022
Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh   +2 more
exaly  

Interacting reinforced stochastic processes: Statistical inference based on the weighted empirical means

Bernoulli, 2020
Giacomo Aletti, Irène Crimaldi, Andrea Ghiglietti   +2 more
exaly  

Innovation Representation of Stochastic Processes With Application to Causal Inference

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

Stochastic Processes - Inference Theory

Springer Monographs in Mathematics, 2014
Malempati M Rao
exaly  

Simulation and Inference for Stochastic Processes with YUIMA

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

Analyzing Social Networks as Stochastic Processes

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

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

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

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

Physical Review A, 2020
Thomas Joseph Elliott, Mile Gu, Matthew Ho   +2 more
exaly