Using Frontier Models to Mitigate Omitted Variable Bias in Hedonic Pricing Models: A Case Study for Air Quality in Bogotá, Colombia

The latter is a modeling language intended for model-driven development of component- based software systems and for the early evaluation of non-functional properties such as

In this section, different cogeneration alternatives with diesel engines and gas turbines are analyzed. The possible solutions in which the steam took part were discarded

a) Constant: A constant model where we assume that the regression coefficients (u,v) =  are constant and without any spatial dependence. b) Stepwise: A

The focus has been placed on so-called model agnostic explanations (interpretability techniques which can be applied to any type of predictive model) and on

Furthermore, two predictive models have been developed (an ARIMA Time Series and an LSTM recurrent neural network) to study how time series models adapt to this type of data..

It has also been proposed to manage the necessary information about stakeholders, their relationships and their perception of level of importance of the data quality dimensions

The aim of the present study was to evaluate the methodological quality of the literature and the risk of bias in systematic reviews addressing therapies for

Taking into account the different datasets, the lowest MSE for the Season Dataset is obtained for the summer season when applying the LM training algorithm with 50 neurons, without