Publications

Journal papers and preprints

Moews, B. et al. (2019), “Lagged correlation-based deep learning for directional trend change prediction in financial time series”, Expert Systems with Applications, Vol. 120, pp. 197-206 (journal | arXiv:1811.11287)

Fussell, L. and Moews, B. (2018), “Forging new worlds: High-resolution synthetic galaxies with chained generative adversarial networks”, preprint (arXiv:1811.03081)

Cantat-Gaudin, T. et al. (2018), “Gaia DR2 unravels incompleteness of nearby cluster population: New open clusters in the direction of Perseus”, preprint (arXiv:1810.05494)

Conference talks and posters

Moews, B. (2019), “Synthetic galaxies with chained deep learning models” (oral presentation), 15th Durham-Edinburgh eXtragalactic Workshop (DEX-XV), Edinburgh, UK, January7-8 2019

Moews, B. (2018), “Massively parallel iterative Bayesian nonparametrics for cosmological parameter estimation” (oral presentation), Royal Statistical Society 2018 International Conference (RSS 2018), Cardiff, UK, September 3-6 2018

Moews, B. (2018), “High-dimensional posterior sampling with expensive likelihoods” (oral presentation), International Society for Bayesian Analysis 2018 World Meeting (ISBA 2018), Edinburgh, UK, June 24-29 2018

Moews, B. (2018), “Gaussbock: Fast parallel-iterative cosmological parameter estimation” (poster presentation), Statistical Challenges in 21st Century Cosmology (Cosmo21), Valencia, Spain, May 22-25 2018

Moews, B. (2018), “Non-parametric Bayesian methods for cosmological parameter estimation” (oral presentation), Statistical Challenges for Large-Scale Structure in the Era of LSST (SCLSS), Oxford, UK, April 18-20 2018