Publications

Theory of games and economic behavior

This is the classic work upon which modern-day game theory is based. What began more than sixty years ago as a modest proposal that a mathematician and an economist write a shor...

ESTIMATING<i>F</i>-STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE

Corresponding Editor: J. Felsenstein

A Simple, Fast, and Accurate Algorithm to Estimate Large Phylogenies by Maximum Likelihood

The increase in the number of large data sets and the complexity of current probabilistic sequence evolution models necessitates fast and reliable phylogeny reconstruction metho...

Cluster analysis and display of genome-wide expression patterns

A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according ...

RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models

Abstract Summary: RAxML-VI-HPC (randomized axelerated maximum likelihood for high performance computing) is a sequential and parallel program for inference of large phylogenies ...

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change. T...

UCHIME improves sensitivity and speed of chimera detection

Abstract Motivation: Chimeric DNA sequences often form during polymerase chain reaction amplification, especially when sequencing single regions (e.g. 16S rRNA or fungal Interna...

Self-efficacy mechanism in human agency.

This article addresses the centrality of the self-efficacy mechanism in human agency. Self-per- cepts of efficacy influence thought patterns, actions, and emotional arousal. In ...

Framing: Toward Clarification of a Fractured Paradigm

Journal Article Framing: Toward Clarification of a Fractured Paradigm Get access Robert M. Entman Robert M. Entman 1Robert M. Entman is an associate professor of communication s...

Neural Machine Translation by Jointly Learning to Align and Translate

Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at...

Evolutionary trees from DNA sequences: A maximum likelihood approach

Numerical optimization

This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded covera...