" exoplanet" is a toolkit for probabilistic modeling of astronomical time series data, with a
focus on observations of exoplanets, using PyMC3 (Salvatier et al., 2016). PyMC3 is a …

Interoception-the physiological sense of our inner bodies-has risen to the forefront of
psychological and psychiatric research. Much of this research utilizes tasks that attempt to …

The representation of subsurface structures is an essential aspect of a wide variety of
geoscientific investigations and applications, ranging from geofluid reservoir studies, over …

Contemporary general circulation models (GCMs) and Earth system models (ESMs) are
developed by a large number of modeling groups globally. They use a wide range of …

Imaging is the process of transforming noisy, incomplete data into a space that humans can
interpret. NIFTy is a Bayesian framework for imaging and has already successfully been …

The development process for an environmental model involves multiple iterations of a
planning-implementation-assessment cycle. Probabilistic programming languages (PPLs) …

How do we make simple choices such as deciding between an apple and an orange?
Recent empirical evidence suggests that choice behaviour and gaze allocation are closely …

Cardinality estimation (CardEst) is an essential component in query optimizers and a
fundamental problem in DBMS. A desired CardEst method should attain good algorithm …

Individualized anatomical information has been used as prior knowledge in Bayesian
inference paradigms of whole-brain network models. However, the actual sensitivity to such …

Global emissions of the ozone-depleting gas HCFC-141b (1, 1-dichloro-1-fluoroethane, CH
3 CCl 2 F) derived from measurements of atmospheric mole fractions increased between …