34 citations · 96 across the 5 of their papers we have counts for
5 papers
MCMC for Bayesian uncertainty quantification from time-series data
Philip Maybank, Patrick Peltzer, Uwe Naumann +1
Many problems in science and engineering require uncertainty quantification that accounts for observed data. For example, in computational neuroscience, Neural Population Models (N…
Fast approximate Bayesian inference for stable differential equation models
Philip Maybank, Ingo Bojak, Richard G. Everitt
Inference for mechanistic models is challenging because of nonlinear interactions between model parameters and a lack of identifiability. Here we focus on a specific class of mecha…
Metabifurcation analysis of a mean field model of the cortex
Federico Frascoli, Lennaert van Veen, Ingo Bojak +1
Mean field models (MFMs) of cortical tissue incorporate salient features of neural masses to model activity at the population level. One of the common aspects of MFM descriptions i…
Next-to-Leading Order QCD Corrections to the Polarized Hadroproduction of Heavy Flavors
I. Bojak, M. Stratmann
We present the complete next-to-leading order QCD corrections to the polarized hadroproduction of heavy flavors which soon will be studied experimentally in polarized pp collisions…
NLO QCD Corrections to the Polarized Photo- and Hadroproduction of Heavy Quarks
Ingo Bojak
The complete details of our calculation of the NLO QCD corrections to heavy flavor photo- and hadroproduction with longitudinally polarized initial states are presented. The main m…