Pedestrian fatality rate plays a key role in examining effectiveness of the road safety. The present study attempts to examine effect various categories accused vehicles and average 85th percentile speed at accident location on pedestrian crash fatality. also develop severity models using binary logistic regression boosted trees technique. Historical data, along with video recording technique s...

The Internet self-evolves rapidly and its dynamic structure poses many interesting questions for researchers in network analysis. In this paper I show how we can simplify the entire Internet as a mathematical graph and then extract its structural characteristics; these characteristics in turn help us build statistical models that can predict how the Internet will evolve. The data describing the...

Time series forecasting involves collecting and analyzing past observations to develop a model extrapolate such into the future. Forecasting of future events is important in many fields support decision making as it contributes reducing uncertainty. We propose explainable boosted linear regression (EBLR) algorithm for time forecasting, which an iterative method that starts with base model, expl...

1. Central questions of behavioural and evolutionary ecology are what factors influence the reproductive success of dominant breeders and subordinate nonbreeders within animal societies? A complete understanding of any society requires that these questions be answered for all individuals. 2. The clown anemonefish, Amphiprion percula, forms simple societies that live in close association with se...

The airborne Pushbroom Hyperspectral Imager (PHI) has been developed by the Shanghai Institute of Technical Physics (SITP). Here we analyse PHI data of Shanghai for the purpose of classifying eight vegetation types found in this urban environment. PHI imagery are first pre-processsed by calibrating to albedo using field spectra and the empirical line method, followed by georeferencing. A classi...

The terrestrial water storage anomaly (TWSA) from the previous Gravity Recovery and Climate Experiment (GRACE) covers a relatively short period (15 years) with several missing periods. This study explores boosted regression trees (BRT) artificial neural network (ANN) to reconstruct TWSA series between 1982 2014 over Yangtze River basin (YRB). Both algorithms are trained hydro-climatic variables...

Boosting, or boosted regression, is a recent data mining technique that has shown considerable success in predictive accuracy. This article gives an overview over boosting and introduces a new Stata command, boost, that implements the boosting algorithm described in Hastie et al. (2001, p. 322). The plugin is illustrated with a Gaussian and a logistic regression example. In the Gaussian regress...

Tacrolimus has a narrow therapeutic window and considerable variability in clinical use. Our goal was to compare the performance of multiple linear regression (MLR) and eight machine learning techniques in pharmacogenetic algorithm-based prediction of tacrolimus stable dose (TSD) in a large Chinese cohort. A total of 1,045 renal transplant patients were recruited, 80% of which were randomly sel...