estimating-option-implied-probability-distributions-for-asset-pricing Public Forecasting the performance of an asset and quantifying the uncertainty associated with such a forecast is a difficult task ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

Argunşah et al. investigate the mechanisms underlying the differential response dynamics of barrel vs septa domains in shaping the responses to single vs multiple whiskers. Based on the observation of ...