Publications

Belief in the law of small numbers.

Reports that people have erroneous intuitions about the laws of chance. In particular, they regard a sample randomly drawn from a population as highly representative, I.e., simi...

A Capital Asset Pricing Model with Time-Varying Covariances

The capital asset pricing model provides a theoretical structure for the pricing of assets with uncertain returns. The premium to induc e risk-averse investors to bear risk is p...

Bayesian Coalescent Inference of Past Population Dynamics from Molecular Sequences

We introduce the Bayesian skyline plot, a new method for estimating past population dynamics through time from a sample of molecular sequences without dependence on a prespecifi...

<scp>PHYLIP</scp> ( <scp>PHYLogeny</scp> Inference Package)

IDBA-UD: a <i>de novo</i> assembler for single-cell and metagenomic sequencing data with highly uneven depth

Abstract Motivation: Next-generation sequencing allows us to sequence reads from a microbial environment using single-cell sequencing or metagenomic sequencing technologies. How...

Digital game-based learning

Research published by University of Rochester neuroscientists C. Shawn Green and Daphne Bavelier has grabbed national attention for suggesting that playing "action" video and co...

IMMUNOASSAY OF ENDOGENOUS PLASMA INSULIN IN MAN

For years investigators have sought an assay for insulin which would combine virtually absolute specificity with a high degree of sensitivity, sufficiently exquisite for measure...

Principles of Numerical Taxonomy

This new edition continues the story of psychology with added research and enhanced content from the most dynamic areas of the field--cognition, gender and diversity studies, ne...

Cases in which Parsimony or Compatibility Methods will be Positively Misleading

For some simple three- and four-species cases involving a character with two states, it is determined under what conditions several methods of phylogenetic inference will fail t...

Genome-Wide Mapping of in Vivo Protein-DNA Interactions

In vivo protein-DNA interactions connect each transcription factor with its direct targets to form a gene network scaffold. To map these protein-DNA interactions comprehensively...

Convergence Results for Neural Networks via Electrodynamics

We study whether a depth two neural network can learn another depth two network using gradient descent. Assuming a linear output node, we show that the question of whether gradi...

Fab

article Free AccessFab: content-based, collaborative recommendation Authors: Marko Balabanović Computer Science Department, Stanford University, Stanford, Calif. Computer Scienc...