Here, we provide a self-explained R code (SDM-Simulations.R) for repoduce all the results presented in our manuscript. randomized_single_species_distribution.rds - the results of numeric simulation – ...

In this paper we derive explicit expressions for the elements of the exact Fisher information matrix of the Dirichlet-multinomial distribution. We show that exact calculation is based on the ...

Abstract: Architectures obtained by Neural Architecture Search (NAS) have achieved highly competitive performance in various computer vision tasks. However, the prohibitive computation demand of ...

This type of model applies to cases where an observation can fall into one of k categories. Binary data occurs in the special case where k=2. If there are m i observations in a subpopulation i, then ...

A two-stage procedure is proposed for the generation of random variates from a multinomial distribution. In the first stage we propose that cell frequencies be generated as random deviates from a ...

Abstract: In this paper, we examine the problem of count data clustering. We analyze this problem using finite mixtures of distributions. The multinomial distribution and the multinomial Dirichlet ...

Here we propose a method to extremely accelerate NAS, without reinforcement learning or gradient, just by sampling architectures from a distribution and comparing these architectures, estimating their ...

This is a preview. Log in through your library . Abstract Tables of the percentage points of the conditional distribution of the range r in samples from a multinomial distribution of n cells, each ...