Proceedings of the National Academy of Sciencesâ€¦

2009

Simulating the conformational dynamics of biomolecules is extremely difficult due to the rugged nature of their free energy landscapes and multiple long-lived, or metastable, states. Generalizedâ€¦ (More)

We introduce a three-parameter random walk with reinforcement, called the (Î¸,Î±,Î²) scheme, which generalizes the linearly edge reinforced random walk to uncountable spaces. The parameter Î² smoothlyâ€¦ (More)

SERGIO BACALLADO, STEFANO FAVARO and LORENZO TRIPPA Department of Statistics, Stanford University, Sequoia Hall, Stanford, CA 94305, USA. E-mail: sergio.bacallado@gmail.com Department of Economicsâ€¦ (More)

We propose a novel algorithm for sequential matrix completion in a recommender system setting, where the (i, j)th entry of the matrix corresponds to a user iâ€™s rating of product j. The objective ofâ€¦ (More)

A fundamental problem in Bayesian nonparametrics consists of selecting a prior distribution by assuming that the corresponding predictive probabilities obey certain properties. An early discussion ofâ€¦ (More)

Discrete-space Markov models are a convenient way of describing the kinetics of biomolecules. The most common strategies used to validate these models employ statistics from simulation data, such asâ€¦ (More)

The large amount of molecular dynamics simulation data produced by modern computational models brings big opportunities and challenges to researchers. Clustering algorithms play an important role inâ€¦ (More)

Recent advances in Monte Carlo methods allow us to revisit work by de Finetti who suggested the use of approximate exchangeability in the analyses of contingency tables. This paper gives examples ofâ€¦ (More)