A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the
last 15 years, with varying degrees of success. This review article aims to explain the …

In ecology, the true causal structure for a given problem is often not known, and several
plausible models and thus model predictions exist. It has been claimed that using weighted …

Amos is short for Analysis of MOment Structures. It implements the general approach to data
analysis known as structural equation modeling (SEM), also known as analysis of …

Mounting failures of replication in social and biological sciences give a new urgency to
critically appraising proposed reforms. This book pulls back the cover on disagreements …

PowerPoint 演示文稿 Page 1 Uncertainty in Deep Learning Yarin Gal 2018.7.29 Page 2 Page
3 Different Uncertainties Two main types of uncertainty, often confused by practitioners, but …

This book is about learning from data using the Generalized Additive Models for Location,
Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and …

We present a blind time-delay cosmographic analysis for the lens system DES J0408− 5354.
This system is extraordinary for the presence of two sets of multiple images at different …

Background Some heavy metals (eg, arsenic, cadmium, lead, mercury) have been
associated with obesity and obesity comorbidities. The analytical approach for those …

The method of model averaging has become an important tool to deal with model
uncertainty, for example in situations where a large amount of different theories exist, as are …

Bayesian inference has become a standard method of analysis in many fields of science.
Students and researchers in experimental psychology and cognitive science, however, have …