Likelihood-free inference in state-space models with unknown dynamics

Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience

(2021) Alexander Fengler et al.   eLife

One for all: Universal material model based on minimal state-space neural networks

(2021) Colin Bonatti et al.   Science Advances

Use of Observing System Simulation Experiments in the U.S.

(2020) Xubin Zeng et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

The frontier of simulation-based inference

(2020) Kyle Cranmer et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Likelihood-free inference with neural compression of DES SV weak lensing map statistics

(2020) Niall Jeffrey et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Learning to predict the cosmological structure formation

(2019) Siyu He et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Cosmological Evidence Modelling: a new simulation-based approach to constrain cosmology on non-linear scales

(2019) Johannes U Lange et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Accumulators, Neurons, and Response Time

(2019) Jeffrey D. Schall   TRENDS IN NEUROSCIENCES

Likelihood-free inference in high dimensions with synthetic likelihood

(2018) Victor M.-H. Ong et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Massive optimal data compression and density estimation for scalable, likelihood-free inference in cosmology

(2018) Justin Alsing et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Estimating option greeks under the stochastic volatility using simulation

(2018) Khuram Shafi et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Auxiliary Likelihood-Based Approximate Bayesian Computation in State Space Models

(2018) Gael M. Martin et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Advances in Variational Inference

(2018) Cheng Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The Comparisons of Optimized Extended Kalman Filters for Speed-Sensorless Control of Induction Motors

(2017) Emrah Zerdali et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Adaptive user modelling in car racing games using behavioural and physiological data

(2017) Theodosis Georgiou et al.   USER MODELING AND USER-ADAPTED INTERACTION

Parameter Estimation for Hidden Markov Models with Intractable Likelihoods

(2014) Thomas A. Dean et al.   SCANDINAVIAN JOURNAL OF STATISTICS

Approximate Bayesian Computation for Smoothing

(2014) James S. Martin et al.   STOCHASTIC ANALYSIS AND APPLICATIONS

Expectation Propagation for Likelihood-Free Inference

(2013) Simon Barthelmé et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Approximate Bayesian Computation

(2013) Mikael Sunnåker et al.   PLoS Computational Biology

Development and validation of observing-system simulation experiments at NASA's Global Modeling and Assimilation Office

(2012) Ronald M. Errico et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Bivariate geostatistical modelling: a review and an application to spatial variation in radon concentrations

(2011) Thomas R. Fanshawe et al.   ENVIRONMENTAL AND ECOLOGICAL STATISTICS

Approximate Bayesian Computation in Evolution and Ecology

(2010) Mark A. Beaumont   Annual Review of Ecology Evolution and Systematics

Likelihood-free Bayesian inference for -stable models

(2010) G.W. Peters et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

ABC as a flexible framework to estimate demography over space and time: some cons, many pros

(2010) G. BERTORELLE et al.   MOLECULAR ECOLOGY

Filtering via approximate Bayesian computation

(2010) Ajay Jasra et al.   STATISTICS AND COMPUTING

Approximate Bayesian Computation (ABC) in practice

(2010) Katalin Csilléry et al.   TRENDS IN ECOLOGY & EVOLUTION

The Lévy flight paradigm: random search patterns and mechanisms

(2009) A. M. Reynolds et al.   ECOLOGY

Variational Bayesian Filtering

(2008) V. Smidl et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems

(2008) T. Toni et al.   Journal of the Royal Society Interface