Introduction: In occupational epidemiology, accurately quantifying exposure-response relationships is crucial. Methods: We introduce a threshold Cox model that includes a change point term to identify ...

The package is mainly to support ggdmc, so you can use it together with other ggdmc supporting packages. model <- ggdmcModel::BuildModel( p_map = list( A = "1", B ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Abstract: This study discusses the negative impact of the derivative of the activation functions in the output layer of artificial neural networks, in particular in continual learning. We propose ...

Hi, I am trying to run flowMC to sample from the inhomogeneous Poisson likelihood mentioned in equation 4 of the paper. I am using the following Monte-Carlo approximation for the integral.

Calculating the likelihood is a fundamental aspect of statistics and probability theory. It allows us to measure how probable a given set of data is, assuming a specific model or hypothesis.