98 citations · 196 across the 32 of their papers we have counts for
5 papers · 1 filter
A Bayesian framework for genome-wide inference of DNA methylation levels
Marcel Hirt, Axel Finke, Alexandros Beskos +4
DNA methylation is an important epigenetic mark that has been studied extensively for its regulatory role in biological processes and diseases. WGBS allows for genome-wide measurem…
Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data
Giovanni Ballarin, Petros Dellaportas, Lyudmila Grigoryeva +3
Macroeconomic forecasting has recently started embracing techniques that can deal with large-scale datasets and series with unequal release periods. MIxed-DAta Sampling (MIDAS) and…
Missing data patterns in runners' careers: do they matter?
Mattia Stival, Mauro Bernardi, Manuela Cattelan +1
Predicting the future performance of young runners is an important research issue in experimental sports science and performance analysis. We analyse a data set with annual seasona…
Doubly-online changepoint detection for monitoring health status during sports activities
Mattia Stival, Mauro Bernardi, Petros Dellaportas
We provide an online framework for analyzing data recorded by smart watches during running activities. In particular, we focus on identifying variations in the behavior of one or m…
Variance Reduction for Metropolis-Hastings Samplers
Angelos Alexopoulos, Petros Dellaportas, Michalis K. Titsias
We introduce a general framework that constructs estimators with reduced variance for random walk Metropolis and Metropolis-adjusted Langevin algorithms. The resulting estimators r…