In this paper, I show how neural networks can be used to simultaneously estimate all unknown parameters in a spatial point process model from an observed pattern. The method applied any which it is possible simulate from. Through simulation study, conclude that the recovers well and some situations provide better estimates than most commonly methods. also illustrate on real data example.

We use household survey data to construct a direct measure of absolute risk aversion based on the maximum price a consumer is willing to pay to buy a risky asset. We relate this measure to a set of consumers’ decisions that in theory should vary with attitude towards risk. We ...nd that elicited risk aversion has considerable predictive power for a number of key household decisions such as choi...

OBJECTIVE The aim of this study was to compare screening performance for Down syndrome of the absolute risk (AR) method to the first trimester combined test (FCT) at different maternal ages. METHODS There was a retrospective analysis of 32,448 FCT. AR was defined as final risk divided by maternal age risk. RESULTS The likelihood of receiving a true prediction was comparable between both met...