Results 151 to 160 of about 3,751 (165)

Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art

Journal of the Royal Society Interface, 2019
David J Warne, Ruth Baker, Matthew J Simpson   +2 more
exaly  

Variational Inference for Stochastic Block Models From Sampled Data

Journal of the American Statistical Association, 2020
Pierre Barbillon, Julien Chiquet
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  

Inferring the Dynamics of Underdamped Stochastic Systems

Physical Review Letters, 2020
David B Brückner, Pierre Ronceray, Chase P Broedersz   +2 more
exaly  

Cancer Risk Elicitation and Communication: Lessons from the Psychology of Risk Perception

Ca-A Cancer Journal for Clinicians, 2007
Michael E Stefanek
exaly  

Advances in Variational Inference

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Cheng Zhang, Judith Bütepage, Hedvig Kjellström   +2 more
exaly  

Advantages and limitations of current network inference methods

Nature Reviews Microbiology, 2010
Riet De Smet, Kathleen Marchal
exaly  

Statistical Inference in Instrumental Variables Regression with I(1) Processes

Review of Economic Studies, 1990
Peter C B Phillips, Bruce E Hansen
exaly  

Multiple-scale stochastic processes: Decimation, averaging and beyond

Physics Reports, 2017
Stefano Bo, Antonio Celani
exaly  

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

Computational Statistics and Data Analysis, 2012
Øivind Skare
exaly